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overflow: hidden; text-overflow: ellipsis; -webkit-line-clamp: 3; -webkit-box-orient: vertical; }</style><div class="col-xs-12 clearfix"><div class="u-floatLeft"><h1 class="PageHeader-title u-m0x u-fs30">Human-machine Systems</h1><div class="u-tcGrayDark">8,184 Followers</div><div class="u-tcGrayDark u-mt2x">Recent papers in <b>Human-machine Systems</b></div></div></div></div></div></div><div class="TabbedNavigation"><div class="container"><div class="row"><div class="col-xs-12 clearfix"><ul class="nav u-m0x u-p0x list-inline u-displayFlex"><li class="active"><a href="https://www.academia.edu/Documents/in/Human-machine_Systems">Top Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Human-machine_Systems/MostCited">Most Cited Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Human-machine_Systems/MostDownloaded">Most Downloaded Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Human-machine_Systems/MostRecent">Newest Papers</a></li><li><a class="" href="https://www.academia.edu/People/Human-machine_Systems">People</a></li></ul></div><style type="text/css">ul.nav{flex-direction:row}@media(max-width: 567px){ul.nav{flex-direction:column}.TabbedNavigation li{max-width:100%}.TabbedNavigation li.active{background-color:var(--background-grey, #dddde2)}.TabbedNavigation li.active:before,.TabbedNavigation li.active:after{display:none}}</style></div></div></div><div class="container"><div class="row"><div class="col-xs-12"><div class="u-displayFlex"><div class="u-flexGrow1"><div class="works"><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_28152726" data-work_id="28152726" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/28152726/Bildoperationen_Das_Problem_der_Mensch_Maschine_Interaktion_bei_bildgef%C3%BChrten_Interventionen">Bildoperationen. Das Problem der Mensch-Maschine Interaktion bei bildgeführten Interventionen</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Angesichts der zunehmenden strukturellen Verschaltung von Mensch und Maschine in der chirurgischen Praxis selbst genügt es nicht mehr, pathologische Veränderungen auf der Basis eines entsprechend theoriegeleiteten Bildwissensauf in... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_28152726" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Angesichts der zunehmenden strukturellen Verschaltung von Mensch und Maschine in der chirurgischen Praxis selbst genügt es nicht mehr, pathologische Veränderungen auf der Basis eines entsprechend theoriegeleiteten Bildwissensauf in medizinischen Visualisierung „lediglich“ zu erkennen. Bildkompetent müss ChirurgInnen inzwischen nicht mehr nur als DiagnostikerInnen sein, sondern Bilder gestalten zunehmend auch die Therapie. Visualisierungspraktiken lenken, steuern, führen und gestalten inwischen auch den Behandlungsprozess und etablieren ein verändertes Verhältnis zwischen ChirurgIn und PatientIn, zwischen Körper und Bild, zwischen Mensch und Maschine. Der Beitrag untersucht dieses Gefüge von Anschauung, Operativität und Bildlichkeit in der minimal-invasiven Chrirurgie anhand der medialen Produktionsbedingungen des roboter-assistierten Operationssystems Da Vinci. Dabei wird anhand konkreter Fallbeispiele der Architektur, Navigation und Steuerung des Systems gezeigt, dass dem Herstellerversprechen erhöhter medizinischer Effizienz und Präzision bildgeführter Operationssysteme eine praktische Kenntnis der Differenz zwischen Körper und Bild entgegenstehen muss, die nicht in Abrenzung zum Maschinellen verhandelt werden kann, sondern als Synthese von Chirurg und Operationssystem gedacht werden muss.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/28152726" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c041a2261481c24d167371382ee59609" rel="nofollow" data-download="{"attachment_id":48467951,"asset_id":28152726,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48467951/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="978005" href="https://charite-de.academia.edu/MoritzQueisner">Moritz Queisner</a><script data-card-contents-for-user="978005" type="text/json">{"id":978005,"first_name":"Moritz","last_name":"Queisner","domain_name":"charite-de","page_name":"MoritzQueisner","display_name":"Moritz Queisner","profile_url":"https://charite-de.academia.edu/MoritzQueisner?f_ri=5656","photo":"https://0.academia-photos.com/978005/16100672/16558390/s65_moritz.queisner.jpg"}</script></span></span></li><li class="js-paper-rank-work_28152726 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="28152726"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 28152726, container: ".js-paper-rank-work_28152726", }); });</script></li><li class="js-percentile-work_28152726 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 28152726; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_28152726"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_28152726 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="28152726"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 28152726; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=28152726]").text(description); $(".js-view-count-work_28152726").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_28152726").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="28152726"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">10</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="472" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_Computer_Interaction">Human Computer Interaction</a>, <script data-card-contents-for-ri="472" type="text/json">{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="647" rel="nofollow" href="https://www.academia.edu/Documents/in/Surgery">Surgery</a>, <script data-card-contents-for-ri="647" type="text/json">{"id":647,"name":"Surgery","url":"https://www.academia.edu/Documents/in/Surgery?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="928" rel="nofollow" href="https://www.academia.edu/Documents/in/Media_Studies">Media Studies</a>, <script data-card-contents-for-ri="928" type="text/json">{"id":928,"name":"Media Studies","url":"https://www.academia.edu/Documents/in/Media_Studies?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5656" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-machine_Systems">Human-machine Systems</a><script data-card-contents-for-ri="5656" type="text/json">{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=28152726]'), work: {"id":28152726,"title":"Bildoperationen. Das Problem der Mensch-Maschine Interaktion bei bildgeführten Interventionen","created_at":"2016-08-31T06:48:37.863-07:00","url":"https://www.academia.edu/28152726/Bildoperationen_Das_Problem_der_Mensch_Maschine_Interaktion_bei_bildgef%C3%BChrten_Interventionen?f_ri=5656","dom_id":"work_28152726","summary":"Angesichts der zunehmenden strukturellen Verschaltung von Mensch und Maschine in der chirurgischen Praxis selbst genügt es nicht mehr, pathologische Veränderungen auf der Basis eines entsprechend theoriegeleiteten Bildwissensauf in medizinischen Visualisierung „lediglich“ zu erkennen. Bildkompetent müss ChirurgInnen inzwischen nicht mehr nur als DiagnostikerInnen sein, sondern Bilder gestalten zunehmend auch die Therapie. Visualisierungspraktiken lenken, steuern, führen und gestalten inwischen auch den Behandlungsprozess und etablieren ein verändertes Verhältnis zwischen ChirurgIn und PatientIn, zwischen Körper und Bild, zwischen Mensch und Maschine. Der Beitrag untersucht dieses Gefüge von Anschauung, Operativität und Bildlichkeit in der minimal-invasiven Chrirurgie anhand der medialen Produktionsbedingungen des roboter-assistierten Operationssystems Da Vinci. Dabei wird anhand konkreter Fallbeispiele der Architektur, Navigation und Steuerung des Systems gezeigt, dass dem Herstellerversprechen erhöhter medizinischer Effizienz und Präzision bildgeführter Operationssysteme eine praktische Kenntnis der Differenz zwischen Körper und Bild entgegenstehen muss, die nicht in Abrenzung zum Maschinellen verhandelt werden kann, sondern als Synthese von Chirurg und Operationssystem gedacht werden muss.","downloadable_attachments":[{"id":48467951,"asset_id":28152726,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":978005,"first_name":"Moritz","last_name":"Queisner","domain_name":"charite-de","page_name":"MoritzQueisner","display_name":"Moritz Queisner","profile_url":"https://charite-de.academia.edu/MoritzQueisner?f_ri=5656","photo":"https://0.academia-photos.com/978005/16100672/16558390/s65_moritz.queisner.jpg"}],"research_interests":[{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true},{"id":647,"name":"Surgery","url":"https://www.academia.edu/Documents/in/Surgery?f_ri=5656","nofollow":true},{"id":928,"name":"Media Studies","url":"https://www.academia.edu/Documents/in/Media_Studies?f_ri=5656","nofollow":true},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true},{"id":24865,"name":"Robotic Surgery","url":"https://www.academia.edu/Documents/in/Robotic_Surgery?f_ri=5656"},{"id":37840,"name":"da Vinci Robotic Surgical System","url":"https://www.academia.edu/Documents/in/da_Vinci_Robotic_Surgical_System?f_ri=5656"},{"id":121861,"name":"Minimally Invasive Surgery","url":"https://www.academia.edu/Documents/in/Minimally_Invasive_Surgery?f_ri=5656"},{"id":127727,"name":"Medienwissenschaft","url":"https://www.academia.edu/Documents/in/Medienwissenschaft?f_ri=5656"},{"id":341072,"name":"Bildtheorie","url":"https://www.academia.edu/Documents/in/Bildtheorie?f_ri=5656"},{"id":806593,"name":"Image Guidance","url":"https://www.academia.edu/Documents/in/Image_Guidance?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_437760" data-work_id="437760" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/437760/Flexible_Turn_Taking_for_Spoken_Dialog_Systems">Flexible Turn-Taking for Spoken Dialog Systems</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Even as progress in speech technologies and task and dialog modeling has allowed the development of advanced spoken dialog systems, the low-level interaction behavior of those systems remains often rigid and inefficient. The goal of this... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_437760" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Even as progress in speech technologies and task and dialog modeling has allowed the development of advanced spoken dialog systems, the low-level interaction behavior of those systems remains often rigid and inefficient.<br /><br />The goal of this thesis, is to provide a framework and models to endow spoken dialog systems with robust and flexible turn-taking abilities. To this end, we designed a new dialog system architecture that combines a high-level Dialog Manager (DM) with a low-level Interaction Manager (IM). While the DM operates on user and system turns, the IM operates at the sub-turn level, acting as the interface between the real time information of sensors and actuators, and the symbolic information of the DM. In addition, the IM controls reactive behavior, such as interrupting a system prompt when the user barges in. We propose two approaches to control turn-taking in the IM. <br /><br />First, we designed an optimization method to dynamically set the pause duration threshold used to detect the end of user turns. Using a wide range of dialog features, this algorithm allowed us to reduce average system latency by as much as 22% over a fixed-threshold baseline, while keeping the detection error rate constant. <br /><br />Second, we proposed a general, flexible model to control the turn-taking behavior of conversational agents. This model, the Finite-State Turn-Taking Machine (FSTTM), builds on previous work on 6-state representations of the conversational floor and extends them in two ways. First, it incorporates the notion of turn-taking action (such as grabbing or releasing the floor) and of state-dependent action cost. Second, it models the uncertainty that comes from imperfect recognition of user's turn-taking intentions. Experimental results show that this approach performs significantly better than the threshold optimization method for end-of-turn detection, with latencies up to 40% shorter than a fixed-threshold baseline. We also applied the FSTTM model to the problem of interruption detection, which reduced detection latency by 11% over a strong heuristic baseline.<br /><br />The architecture as well as all the models proposed in this thesis were evaluated on the CMU Let's Go bus information system, a publicly available telephone-based dialog system that provides bus schedule information to the Pittsburgh population.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/437760" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b81289eb16caf0941aed1cd3fdb6a7f2" rel="nofollow" data-download="{"attachment_id":1983682,"asset_id":437760,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/1983682/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="328345" href="https://lenovo.academia.edu/AntoineRaux">Antoine Raux</a><script data-card-contents-for-user="328345" type="text/json">{"id":328345,"first_name":"Antoine","last_name":"Raux","domain_name":"lenovo","page_name":"AntoineRaux","display_name":"Antoine Raux","profile_url":"https://lenovo.academia.edu/AntoineRaux?f_ri=5656","photo":"https://0.academia-photos.com/328345/91953/100726/s65_antoine.raux.png"}</script></span></span></li><li class="js-paper-rank-work_437760 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="437760"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 437760, container: ".js-paper-rank-work_437760", }); });</script></li><li class="js-percentile-work_437760 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 437760; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_437760"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_437760 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="437760"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 437760; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=437760]").text(description); $(".js-view-count-work_437760").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_437760").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="437760"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="5656" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-machine_Systems">Human-machine Systems</a>, <script data-card-contents-for-ri="5656" type="text/json">{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="12059" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-Robot_Interaction">Human-Robot Interaction</a>, <script data-card-contents-for-ri="12059" type="text/json">{"id":12059,"name":"Human-Robot Interaction","url":"https://www.academia.edu/Documents/in/Human-Robot_Interaction?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="79142" rel="nofollow" href="https://www.academia.edu/Documents/in/Spoken_Dialog">Spoken Dialog</a>, <script data-card-contents-for-ri="79142" type="text/json">{"id":79142,"name":"Spoken Dialog","url":"https://www.academia.edu/Documents/in/Spoken_Dialog?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="79143" rel="nofollow" href="https://www.academia.edu/Documents/in/Spoken_Dialog_Systems">Spoken Dialog Systems</a><script data-card-contents-for-ri="79143" type="text/json">{"id":79143,"name":"Spoken Dialog Systems","url":"https://www.academia.edu/Documents/in/Spoken_Dialog_Systems?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=437760]'), work: {"id":437760,"title":"Flexible Turn-Taking for Spoken Dialog Systems","created_at":"2011-02-10T06:59:28.516-08:00","url":"https://www.academia.edu/437760/Flexible_Turn_Taking_for_Spoken_Dialog_Systems?f_ri=5656","dom_id":"work_437760","summary":"Even as progress in speech technologies and task and dialog modeling has allowed the development of advanced spoken dialog systems, the low-level interaction behavior of those systems remains often rigid and inefficient.\n\nThe goal of this thesis, is to provide a framework and models to endow spoken dialog systems with robust and flexible turn-taking abilities. To this end, we designed a new dialog system architecture that combines a high-level Dialog Manager (DM) with a low-level Interaction Manager (IM). While the DM operates on user and system turns, the IM operates at the sub-turn level, acting as the interface between the real time information of sensors and actuators, and the symbolic information of the DM. In addition, the IM controls reactive behavior, such as interrupting a system prompt when the user barges in. We propose two approaches to control turn-taking in the IM. \n\nFirst, we designed an optimization method to dynamically set the pause duration threshold used to detect the end of user turns. Using a wide range of dialog features, this algorithm allowed us to reduce average system latency by as much as 22% over a fixed-threshold baseline, while keeping the detection error rate constant. \n\nSecond, we proposed a general, flexible model to control the turn-taking behavior of conversational agents. This model, the Finite-State Turn-Taking Machine (FSTTM), builds on previous work on 6-state representations of the conversational floor and extends them in two ways. First, it incorporates the notion of turn-taking action (such as grabbing or releasing the floor) and of state-dependent action cost. Second, it models the uncertainty that comes from imperfect recognition of user's turn-taking intentions. Experimental results show that this approach performs significantly better than the threshold optimization method for end-of-turn detection, with latencies up to 40% shorter than a fixed-threshold baseline. We also applied the FSTTM model to the problem of interruption detection, which reduced detection latency by 11% over a strong heuristic baseline.\n\nThe architecture as well as all the models proposed in this thesis were evaluated on the CMU Let's Go bus information system, a publicly available telephone-based dialog system that provides bus schedule information to the Pittsburgh population.","downloadable_attachments":[{"id":1983682,"asset_id":437760,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":328345,"first_name":"Antoine","last_name":"Raux","domain_name":"lenovo","page_name":"AntoineRaux","display_name":"Antoine Raux","profile_url":"https://lenovo.academia.edu/AntoineRaux?f_ri=5656","photo":"https://0.academia-photos.com/328345/91953/100726/s65_antoine.raux.png"}],"research_interests":[{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true},{"id":12059,"name":"Human-Robot Interaction","url":"https://www.academia.edu/Documents/in/Human-Robot_Interaction?f_ri=5656","nofollow":true},{"id":79142,"name":"Spoken Dialog","url":"https://www.academia.edu/Documents/in/Spoken_Dialog?f_ri=5656","nofollow":true},{"id":79143,"name":"Spoken Dialog Systems","url":"https://www.academia.edu/Documents/in/Spoken_Dialog_Systems?f_ri=5656","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_49287601" data-work_id="49287601" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/49287601/Heading_Toward_Trusted_ATCO_AI_Systems_A_Literature_Review">Heading Toward Trusted ATCO-AI Systems: A Literature Review</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The current review addresses emerging issues that arise from the creation of safe, beneficial, and trusted artificial intelligence–air traffic controller (AI-ATCO) systems for air traffic management (ATM). These issues concern trust... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_49287601" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The current review addresses emerging issues that arise from the creation of safe, beneficial, and trusted artificial intelligence–air traffic controller (AI-ATCO) systems for air traffic management (ATM). These issues concern trust between the human user and automated or AI tools of interest, resilience, safety, and transparency. To tackle these issues, we advocate the development of practical AI-ATCO teaming frameworks by bringing together concepts and theories from neuroscience and explainable AI (XAI). By pooling together knowledge from both ATCO and AI perspectives, we seek to establish confidence in AI-enabled technologies for ATCOs. In this review, we present an overview of the extant studies that shed light on the research and development of trusted human-AI systems, and discuss the prospects of extending such works to building better trusted ATCO-AI systems. This paper contains three sections elucidating trust-related human performance, AI and explainable AI (XAI), and human-AI teaming. [COPYRIGHT CC BY-NC-ND 4.0, J. Y. ZHONG 2021, NANYANG TECHNOLOGICAL UNIVERSITY] <br /> <br />CITATION: Zhong, J. Y., Goh, S. K., & Woo, C. J. (2021, Aug). Heading toward trusted ATCO-AI systems: A literature review (Technical Report No. ATMRI-P1-ATP3_AI-NEURO), engrXiv, 1-31. Air Traffic Management Research Institute, Nanyang Technological University, Singapore. <a href="https://doi.org/10.31224/osf.io/t769b" rel="nofollow">https://doi.org/10.31224/osf.io/t769b</a></div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/49287601" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d66ff36ae7ec735f3be650f50c1fca10" rel="nofollow" data-download="{"attachment_id":68367425,"asset_id":49287601,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/68367425/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="5138595" href="https://gatech.academia.edu/JimmyZhong">Jimmy Y Zhong, PhD</a><script data-card-contents-for-user="5138595" type="text/json">{"id":5138595,"first_name":"Jimmy","last_name":"Zhong, PhD","domain_name":"gatech","page_name":"JimmyZhong","display_name":"Jimmy Y Zhong, PhD","profile_url":"https://gatech.academia.edu/JimmyZhong?f_ri=5656","photo":"https://0.academia-photos.com/5138595/2255424/35180269/s65_jimmy.zhong.jpg"}</script></span></span></li><li class="js-paper-rank-work_49287601 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="49287601"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 49287601, container: ".js-paper-rank-work_49287601", }); 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$(".js-view-count[data-work-id=49287601]").text(description); $(".js-view-count-work_49287601").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_49287601").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="49287601"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">15</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="161" rel="nofollow" href="https://www.academia.edu/Documents/in/Neuroscience">Neuroscience</a>, <script data-card-contents-for-ri="161" type="text/json">{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1613" rel="nofollow" href="https://www.academia.edu/Documents/in/Brain_Imaging">Brain Imaging</a>, <script data-card-contents-for-ri="1613" type="text/json">{"id":1613,"name":"Brain Imaging","url":"https://www.academia.edu/Documents/in/Brain_Imaging?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5656" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-machine_Systems">Human-machine Systems</a>, <script data-card-contents-for-ri="5656" type="text/json">{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="10402" rel="nofollow" href="https://www.academia.edu/Documents/in/EEG">EEG</a><script data-card-contents-for-ri="10402" type="text/json">{"id":10402,"name":"EEG","url":"https://www.academia.edu/Documents/in/EEG?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=49287601]'), work: {"id":49287601,"title":"Heading Toward Trusted ATCO-AI Systems: A Literature Review","created_at":"2021-06-18T23:46:27.239-07:00","url":"https://www.academia.edu/49287601/Heading_Toward_Trusted_ATCO_AI_Systems_A_Literature_Review?f_ri=5656","dom_id":"work_49287601","summary":"The current review addresses emerging issues that arise from the creation of safe, beneficial, and trusted artificial intelligence–air traffic controller (AI-ATCO) systems for air traffic management (ATM). These issues concern trust between the human user and automated or AI tools of interest, resilience, safety, and transparency. To tackle these issues, we advocate the development of practical AI-ATCO teaming frameworks by bringing together concepts and theories from neuroscience and explainable AI (XAI). By pooling together knowledge from both ATCO and AI perspectives, we seek to establish confidence in AI-enabled technologies for ATCOs. In this review, we present an overview of the extant studies that shed light on the research and development of trusted human-AI systems, and discuss the prospects of extending such works to building better trusted ATCO-AI systems. This paper contains three sections elucidating trust-related human performance, AI and explainable AI (XAI), and human-AI teaming. [COPYRIGHT CC BY-NC-ND 4.0, J. Y. ZHONG 2021, NANYANG TECHNOLOGICAL UNIVERSITY]\r\n\r\nCITATION: Zhong, J. Y., Goh, S. K., \u0026 Woo, C. J. (2021, Aug). Heading toward trusted ATCO-AI systems: A literature review (Technical Report No. ATMRI-P1-ATP3_AI-NEURO), engrXiv, 1-31. Air Traffic Management Research Institute, Nanyang Technological University, Singapore. https://doi.org/10.31224/osf.io/t769b","downloadable_attachments":[{"id":68367425,"asset_id":49287601,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":5138595,"first_name":"Jimmy","last_name":"Zhong, PhD","domain_name":"gatech","page_name":"JimmyZhong","display_name":"Jimmy Y Zhong, PhD","profile_url":"https://gatech.academia.edu/JimmyZhong?f_ri=5656","photo":"https://0.academia-photos.com/5138595/2255424/35180269/s65_jimmy.zhong.jpg"}],"research_interests":[{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience?f_ri=5656","nofollow":true},{"id":1613,"name":"Brain Imaging","url":"https://www.academia.edu/Documents/in/Brain_Imaging?f_ri=5656","nofollow":true},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true},{"id":10402,"name":"EEG","url":"https://www.academia.edu/Documents/in/EEG?f_ri=5656","nofollow":true},{"id":14303,"name":"Human Factors in Aviation","url":"https://www.academia.edu/Documents/in/Human_Factors_in_Aviation?f_ri=5656"},{"id":21548,"name":"Cognitive Neuroscience","url":"https://www.academia.edu/Documents/in/Cognitive_Neuroscience?f_ri=5656"},{"id":28413,"name":"Air Traffic Management","url":"https://www.academia.edu/Documents/in/Air_Traffic_Management?f_ri=5656"},{"id":29917,"name":"FMRI","url":"https://www.academia.edu/Documents/in/FMRI?f_ri=5656"},{"id":42558,"name":"Artifical Intelligence","url":"https://www.academia.edu/Documents/in/Artifical_Intelligence?f_ri=5656"},{"id":55293,"name":"Air traffic control","url":"https://www.academia.edu/Documents/in/Air_traffic_control?f_ri=5656"},{"id":61474,"name":"Brain","url":"https://www.academia.edu/Documents/in/Brain?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":113211,"name":"Ergonomics \u0026 Human Factors","url":"https://www.academia.edu/Documents/in/Ergonomics_and_Human_Factors?f_ri=5656"},{"id":2690058,"name":"Air Traffic Controllers","url":"https://www.academia.edu/Documents/in/Air_Traffic_Controllers?f_ri=5656"},{"id":2913399,"name":"XAI - Explainable Artificial Intelligence","url":"https://www.academia.edu/Documents/in/XAI_-_Explainable_Artificial_Intelligence?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_51563259" data-work_id="51563259" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/51563259/Negotiating_Intersections_with_Driverless_Cars_Evaluation_of_an_External_HMI_Concept_for_Autonomous_Vehicles">Negotiating Intersections with Driverless Cars: Evaluation of an External HMI Concept for Autonomous Vehicles</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Human Machine Interface (HMI) concepts for autonomous vehicles have thus far been oriented towards the needs of the vehicle operator. In this work, an autonomous vehicle HMI utilizing LED lights, a display, and audio was created to... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_51563259" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Human Machine Interface (HMI) concepts for autonomous vehicles have thus far been oriented towards the needs of the vehicle operator. In this work, an autonomous vehicle HMI utilizing LED lights, a display, and audio was created to communicate to others outside the vehicle. In the US, turn-taking at four-way stop sign intersections is typically negotiated via gesture or eye contact. In autonomous vehicles, there may not be an operator involved in the driving task to communicate this information. An HMI concept for this use case was built into a Wizard of Oz autonomous vehicle. Participants (N=64) interacted with the vehicle at an intersection as both a driver and as a pedestrian, after which they discussed their experiences in focus groups. HMI elements that communicate vehicle status or intentions concretely were better received than abstract indicators. Suggestions for design improvement and general implications for external HMI for autonomous vehicles are discussed.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/51563259" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="a7a23f991c7db9d6906dbf8af6c30abb" rel="nofollow" data-download="{"attachment_id":69234488,"asset_id":51563259,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/69234488/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="117037731" href="https://independent.academia.edu/KevinLiangUX">Kevin Liang</a><script data-card-contents-for-user="117037731" type="text/json">{"id":117037731,"first_name":"Kevin","last_name":"Liang","domain_name":"independent","page_name":"KevinLiangUX","display_name":"Kevin Liang","profile_url":"https://independent.academia.edu/KevinLiangUX?f_ri=5656","photo":"https://0.academia-photos.com/117037731/63747522/52058366/s65_kevin.liang.png"}</script></span></span></li><li class="js-paper-rank-work_51563259 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="51563259"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 51563259, container: ".js-paper-rank-work_51563259", }); });</script></li><li class="js-percentile-work_51563259 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 51563259; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_51563259"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_51563259 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="51563259"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 51563259; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=51563259]").text(description); $(".js-view-count-work_51563259").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_51563259").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="51563259"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">11</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="472" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_Computer_Interaction">Human Computer Interaction</a>, <script data-card-contents-for-ri="472" type="text/json">{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2875" rel="nofollow" href="https://www.academia.edu/Documents/in/User_Experience_UX_">User Experience (UX)</a>, <script data-card-contents-for-ri="2875" type="text/json">{"id":2875,"name":"User Experience (UX)","url":"https://www.academia.edu/Documents/in/User_Experience_UX_?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5266" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_Information_Interaction">Human Information Interaction</a>, <script data-card-contents-for-ri="5266" type="text/json">{"id":5266,"name":"Human Information Interaction","url":"https://www.academia.edu/Documents/in/Human_Information_Interaction?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5656" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-machine_Systems">Human-machine Systems</a><script data-card-contents-for-ri="5656" type="text/json">{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=51563259]'), work: {"id":51563259,"title":"Negotiating Intersections with Driverless Cars: Evaluation of an External HMI Concept for Autonomous Vehicles","created_at":"2021-09-09T00:02:48.913-07:00","url":"https://www.academia.edu/51563259/Negotiating_Intersections_with_Driverless_Cars_Evaluation_of_an_External_HMI_Concept_for_Autonomous_Vehicles?f_ri=5656","dom_id":"work_51563259","summary":"Human Machine Interface (HMI) concepts for autonomous vehicles have thus far been oriented towards the needs of the vehicle operator. In this work, an autonomous vehicle HMI utilizing LED lights, a display, and audio was created to communicate to others outside the vehicle. In the US, turn-taking at four-way stop sign intersections is typically negotiated via gesture or eye contact. In autonomous vehicles, there may not be an operator involved in the driving task to communicate this information. An HMI concept for this use case was built into a Wizard of Oz autonomous vehicle. Participants (N=64) interacted with the vehicle at an intersection as both a driver and as a pedestrian, after which they discussed their experiences in focus groups. HMI elements that communicate vehicle status or intentions concretely were better received than abstract indicators. Suggestions for design improvement and general implications for external HMI for autonomous vehicles are discussed.","downloadable_attachments":[{"id":69234488,"asset_id":51563259,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":117037731,"first_name":"Kevin","last_name":"Liang","domain_name":"independent","page_name":"KevinLiangUX","display_name":"Kevin Liang","profile_url":"https://independent.academia.edu/KevinLiangUX?f_ri=5656","photo":"https://0.academia-photos.com/117037731/63747522/52058366/s65_kevin.liang.png"}],"research_interests":[{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true},{"id":2875,"name":"User Experience (UX)","url":"https://www.academia.edu/Documents/in/User_Experience_UX_?f_ri=5656","nofollow":true},{"id":5266,"name":"Human Information Interaction","url":"https://www.academia.edu/Documents/in/Human_Information_Interaction?f_ri=5656","nofollow":true},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":84688,"name":"Autonomous Vehicles","url":"https://www.academia.edu/Documents/in/Autonomous_Vehicles?f_ri=5656"},{"id":97585,"name":"User interfaces","url":"https://www.academia.edu/Documents/in/User_interfaces?f_ri=5656"},{"id":113211,"name":"Ergonomics \u0026 Human Factors","url":"https://www.academia.edu/Documents/in/Ergonomics_and_Human_Factors?f_ri=5656"},{"id":142317,"name":"SITUATIONAL AWARENESS","url":"https://www.academia.edu/Documents/in/SITUATIONAL_AWARENESS?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":258385,"name":"Automotive Technology","url":"https://www.academia.edu/Documents/in/Automotive_Technology?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_44675547" data-work_id="44675547" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/44675547/Human_Machine_System_Design_for_Autonomous_Distributed_Satellite_Operations">Human-Machine System Design for Autonomous Distributed Satellite Operations</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Distributed Satellite Systems (DSS) provide a promising solution in increasing the sustainability of both the space and terrestrial environment through responsive Earth Observation (EO) and Space Domain Awareness (SDA) operations. To... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_44675547" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Distributed Satellite Systems (DSS) provide a promising solution in increasing the sustainability of both the space and terrestrial environment through responsive Earth Observation (EO) and Space Domain Awareness (SDA) operations. To exploit the advantages of DSS mission architectures, a technical evolution is required from the deliberative methodologies of traditional ground station operations to approaches that are more suited to autonomous, reactive space mission architectures. At its core, this transition is directly reflected in the design, and development of new, more autonomous Mission Planning Systems that adopt the Adaptive Multi-Agent System (AMAS) framework. With a view towards trusted autonomy, this paper explores the required evolution towards a more supervisory role of future ground station operations. In doing so, this paper provides an initial analysis of a conceptual goal-based distributed space-based SDA application within the Observe Orient Decide and Act (OODA) decision loop framework.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/44675547" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="12d78c6ef60978c5c674c00054eb9550" rel="nofollow" data-download="{"attachment_id":65148513,"asset_id":44675547,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/65148513/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9093041" rel="nofollow" href="https://khalifa.academia.edu/RobertoSabatini">Roberto Sabatini</a><script data-card-contents-for-user="9093041" type="text/json">{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}</script></span></span></li><li class="js-paper-rank-work_44675547 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="44675547"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 44675547, container: ".js-paper-rank-work_44675547", }); 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$(".js-view-count[data-work-id=44675547]").text(description); $(".js-view-count-work_44675547").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_44675547").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="44675547"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">14</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="88" rel="nofollow" href="https://www.academia.edu/Documents/in/Aerospace_Engineering">Aerospace Engineering</a>, <script data-card-contents-for-ri="88" type="text/json">{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="472" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_Computer_Interaction">Human Computer Interaction</a>, <script data-card-contents-for-ri="472" type="text/json">{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="700" rel="nofollow" href="https://www.academia.edu/Documents/in/Space_Sciences">Space Sciences</a>, <script data-card-contents-for-ri="700" type="text/json">{"id":700,"name":"Space Sciences","url":"https://www.academia.edu/Documents/in/Space_Sciences?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1649" rel="nofollow" href="https://www.academia.edu/Documents/in/Ergonomics">Ergonomics</a><script data-card-contents-for-ri="1649" type="text/json">{"id":1649,"name":"Ergonomics","url":"https://www.academia.edu/Documents/in/Ergonomics?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=44675547]'), work: {"id":44675547,"title":"Human-Machine System Design for Autonomous Distributed Satellite Operations","created_at":"2020-12-10T06:38:23.577-08:00","url":"https://www.academia.edu/44675547/Human_Machine_System_Design_for_Autonomous_Distributed_Satellite_Operations?f_ri=5656","dom_id":"work_44675547","summary":"Distributed Satellite Systems (DSS) provide a promising solution in increasing the sustainability of both the space and terrestrial environment through responsive Earth Observation (EO) and Space Domain Awareness (SDA) operations. To exploit the advantages of DSS mission architectures, a technical evolution is required from the deliberative methodologies of traditional ground station operations to approaches that are more suited to autonomous, reactive space mission architectures. At its core, this transition is directly reflected in the design, and development of new, more autonomous Mission Planning Systems that adopt the Adaptive Multi-Agent System (AMAS) framework. With a view towards trusted autonomy, this paper explores the required evolution towards a more supervisory role of future ground station operations. In doing so, this paper provides an initial analysis of a conceptual goal-based distributed space-based SDA application within the Observe Orient Decide and Act (OODA) decision loop framework.","downloadable_attachments":[{"id":65148513,"asset_id":44675547,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}],"research_interests":[{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true},{"id":700,"name":"Space Sciences","url":"https://www.academia.edu/Documents/in/Space_Sciences?f_ri=5656","nofollow":true},{"id":1649,"name":"Ergonomics","url":"https://www.academia.edu/Documents/in/Ergonomics?f_ri=5656","nofollow":true},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":9011,"name":"Spacecraft Engineering","url":"https://www.academia.edu/Documents/in/Spacecraft_Engineering?f_ri=5656"},{"id":11569,"name":"Satellite Communications","url":"https://www.academia.edu/Documents/in/Satellite_Communications?f_ri=5656"},{"id":12105,"name":"Aeronautics and Aerospace Operations","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Aerospace_Operations?f_ri=5656"},{"id":14668,"name":"Aerospace","url":"https://www.academia.edu/Documents/in/Aerospace?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":216281,"name":"Aeronautics and aerospace","url":"https://www.academia.edu/Documents/in/Aeronautics_and_aerospace?f_ri=5656"},{"id":643218,"name":"Satellite System Engineering","url":"https://www.academia.edu/Documents/in/Satellite_System_Engineering?f_ri=5656"},{"id":931932,"name":"Distributed Information Systems","url":"https://www.academia.edu/Documents/in/Distributed_Information_Systems?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_44675586" data-work_id="44675586" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/44675586/Human_Machine_Interactions_in_Very_Low_Level_UAS_Operations_and_Traffic_Management">Human-Machine Interactions in Very-Low-Level UAS Operations and Traffic Management</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">With the proliferation of Unmanned Aircraft Systems (UAS) in low-altitude airspace and a growing interest in new Urban Air Mobility (UAM) solutions, the Air Traffic Controller (ATCo)'s responsibility to ensure safety and efficiency of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_44675586" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">With the proliferation of Unmanned Aircraft Systems (UAS) in low-altitude airspace and a growing interest in new Urban Air Mobility (UAM) solutions, the Air Traffic Controller (ATCo)'s responsibility to ensure safety and efficiency of operations can no longer be fulfilled with the conventional air traffic control paradigm. Hence, a new increasingly autonomous Decision Support System (DSS) specifically designed for integrated manned/UAS Traffic Management (UTM) is of paramount importance. This DSS makes use of advanced traffic flow and airspace management concepts, but to ensure effective teaming between the human and the system in challenging situations, the nature of their roles and responsibilities is to be analysed in depth and reflected in the design of suitable Human-Machine Interfaces and Interactions (HMI 2). The task analysis presented in this paper assessed the interdependencies between the human and the machine following the Observe-Orient-Decide-Act (OODA) framework. The paper focuses on the management of urban airspace, which is partitioned based on navigation performance. The human-machine workflow is presented and discussed, highlighting the proposed interactions in each subtask. To support closed-loop interactions and enhance system integrity, the UTM DSS makes use of the Cognitive HMI 2 concept, which is also briefly outlined in this paper.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/44675586" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="954881a97b317cdfa57c565f0165c701" rel="nofollow" data-download="{"attachment_id":65148569,"asset_id":44675586,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/65148569/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9093041" rel="nofollow" href="https://khalifa.academia.edu/RobertoSabatini">Roberto Sabatini</a><script data-card-contents-for-user="9093041" type="text/json">{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}</script></span></span></li><li class="js-paper-rank-work_44675586 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="44675586"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 44675586, container: ".js-paper-rank-work_44675586", }); 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$(".js-view-count[data-work-id=44675586]").text(description); $(".js-view-count-work_44675586").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_44675586").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="44675586"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">18</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="77" rel="nofollow" href="https://www.academia.edu/Documents/in/Robotics">Robotics</a>, <script data-card-contents-for-ri="77" type="text/json">{"id":77,"name":"Robotics","url":"https://www.academia.edu/Documents/in/Robotics?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="88" rel="nofollow" href="https://www.academia.edu/Documents/in/Aerospace_Engineering">Aerospace Engineering</a>, <script data-card-contents-for-ri="88" type="text/json">{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2043" rel="nofollow" href="https://www.academia.edu/Documents/in/Mobile_Robotics">Mobile Robotics</a>, <script data-card-contents-for-ri="2043" type="text/json">{"id":2043,"name":"Mobile Robotics","url":"https://www.academia.edu/Documents/in/Mobile_Robotics?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3762" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_Factors">Human Factors</a><script data-card-contents-for-ri="3762" type="text/json">{"id":3762,"name":"Human Factors","url":"https://www.academia.edu/Documents/in/Human_Factors?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=44675586]'), work: {"id":44675586,"title":"Human-Machine Interactions in Very-Low-Level UAS Operations and Traffic Management","created_at":"2020-12-10T06:44:39.154-08:00","url":"https://www.academia.edu/44675586/Human_Machine_Interactions_in_Very_Low_Level_UAS_Operations_and_Traffic_Management?f_ri=5656","dom_id":"work_44675586","summary":"With the proliferation of Unmanned Aircraft Systems (UAS) in low-altitude airspace and a growing interest in new Urban Air Mobility (UAM) solutions, the Air Traffic Controller (ATCo)'s responsibility to ensure safety and efficiency of operations can no longer be fulfilled with the conventional air traffic control paradigm. Hence, a new increasingly autonomous Decision Support System (DSS) specifically designed for integrated manned/UAS Traffic Management (UTM) is of paramount importance. This DSS makes use of advanced traffic flow and airspace management concepts, but to ensure effective teaming between the human and the system in challenging situations, the nature of their roles and responsibilities is to be analysed in depth and reflected in the design of suitable Human-Machine Interfaces and Interactions (HMI 2). The task analysis presented in this paper assessed the interdependencies between the human and the machine following the Observe-Orient-Decide-Act (OODA) framework. The paper focuses on the management of urban airspace, which is partitioned based on navigation performance. The human-machine workflow is presented and discussed, highlighting the proposed interactions in each subtask. To support closed-loop interactions and enhance system integrity, the UTM DSS makes use of the Cognitive HMI 2 concept, which is also briefly outlined in this paper.","downloadable_attachments":[{"id":65148569,"asset_id":44675586,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}],"research_interests":[{"id":77,"name":"Robotics","url":"https://www.academia.edu/Documents/in/Robotics?f_ri=5656","nofollow":true},{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true},{"id":2043,"name":"Mobile Robotics","url":"https://www.academia.edu/Documents/in/Mobile_Robotics?f_ri=5656","nofollow":true},{"id":3762,"name":"Human Factors","url":"https://www.academia.edu/Documents/in/Human_Factors?f_ri=5656","nofollow":true},{"id":4892,"name":"Autonomous Robotics","url":"https://www.academia.edu/Documents/in/Autonomous_Robotics?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":6416,"name":"Human Resource Management","url":"https://www.academia.edu/Documents/in/Human_Resource_Management?f_ri=5656"},{"id":9586,"name":"Unmanned Aircraft Systems","url":"https://www.academia.edu/Documents/in/Unmanned_Aircraft_Systems?f_ri=5656"},{"id":12105,"name":"Aeronautics and Aerospace Operations","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Aerospace_Operations?f_ri=5656"},{"id":14668,"name":"Aerospace","url":"https://www.academia.edu/Documents/in/Aerospace?f_ri=5656"},{"id":25418,"name":"Human Factors Engineering","url":"https://www.academia.edu/Documents/in/Human_Factors_Engineering?f_ri=5656"},{"id":28413,"name":"Air Traffic Management","url":"https://www.academia.edu/Documents/in/Air_Traffic_Management?f_ri=5656"},{"id":44890,"name":"Unmanned Aerial Vehicles","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicles?f_ri=5656"},{"id":55293,"name":"Air traffic control","url":"https://www.academia.edu/Documents/in/Air_traffic_control?f_ri=5656"},{"id":62386,"name":"Avionics","url":"https://www.academia.edu/Documents/in/Avionics?f_ri=5656"},{"id":133350,"name":"Avionics Engineering","url":"https://www.academia.edu/Documents/in/Avionics_Engineering?f_ri=5656"},{"id":189027,"name":"Unmanned Aerial Vehicle (UAV)","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicle_UAV_?f_ri=5656"},{"id":3018434,"name":"Urban Air Mobility","url":"https://www.academia.edu/Documents/in/Urban_Air_Mobility?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_28649317" data-work_id="28649317" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/28649317/Blue_Brain_The_Magic_of_Man">Blue Brain - The Magic of Man</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">What is it that differentiates man and puts him on the throne of the entire animal kingdom? Yes, it's the human brain, and not the human, which is the most valuable creation of God. But the brain, all its knowledge and power are destroyed... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_28649317" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">What is it that differentiates man and puts him on the throne of the entire animal kingdom? Yes, it's the human brain, and not the human, which is the most valuable creation of God. But the brain, all its knowledge and power are destroyed after the death of man. Is it possible to model a brain and upload the contents of the real natural brain into it thereby propagating life even after death? Yes, indeed. Today, organ donation is giving a new lease of life to many ailing patients; however can brain be added to the list of organs that can be donated? Imagine the marvels that would be back into existence if we could replicate and restore the brains of geniuses like Sir Albert Einstein or Newton or even our great leaders of the past like Mahatma Gandhi. This paper presents a literature survey on the Blue Brain technology that promptly answers all these sparkling questions. Scientists today are in research to take artificial intelligence to a level beyond everything, to create a virtual brain that could think, react, make decisions and also keep everything in some form of memory to do everything that a normal human brain can. To achieve this, the main approach is to upload an actual brain in a virtual brain. So that even after death the person's conscience would be able to function exactly as a normal brain in the form of a machine. IBM along with scientists at BMI (Brain and Mind Institute) École Polytechnique Fédérale de Lausanne (EPFL) Research University in Switzerland are simulating the brain's biological systems into a 3D model, which would recreate the electrochemical interactions that take place inside the brain. If this simulation results in a success, the modeling would extend to different parts of the brain and make it function with all the abilities of a natural brain, thereby eliminating the chances of any brain malfunctions such as psychiatric disorders like depression and autism, which are possible in the normal brain. IBM names this project as the 'Blue Brain' project.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/28649317" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="78d20e60b5edb26fc7a6373eecd61531" rel="nofollow" data-download="{"attachment_id":49021084,"asset_id":28649317,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49021084/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="53783504" href="https://mu.academia.edu/MEETGIDWANI">Meet Gidwani</a><script data-card-contents-for-user="53783504" type="text/json">{"id":53783504,"first_name":"Meet","last_name":"Gidwani","domain_name":"mu","page_name":"MEETGIDWANI","display_name":"Meet Gidwani","profile_url":"https://mu.academia.edu/MEETGIDWANI?f_ri=5656","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_28649317 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="28649317"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 28649317, container: ".js-paper-rank-work_28649317", }); });</script></li><li class="js-percentile-work_28649317 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 28649317; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_28649317"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_28649317 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="28649317"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 28649317; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=28649317]").text(description); $(".js-view-count-work_28649317").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_28649317").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="28649317"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">13</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="237" rel="nofollow" href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a>, <script data-card-contents-for-ri="237" type="text/json">{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="465" rel="nofollow" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a>, <script data-card-contents-for-ri="465" type="text/json">{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="472" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_Computer_Interaction">Human Computer Interaction</a>, <script data-card-contents-for-ri="472" type="text/json">{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1613" rel="nofollow" href="https://www.academia.edu/Documents/in/Brain_Imaging">Brain Imaging</a><script data-card-contents-for-ri="1613" type="text/json">{"id":1613,"name":"Brain Imaging","url":"https://www.academia.edu/Documents/in/Brain_Imaging?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=28649317]'), work: {"id":28649317,"title":"Blue Brain - The Magic of Man","created_at":"2016-09-21T14:24:03.261-07:00","url":"https://www.academia.edu/28649317/Blue_Brain_The_Magic_of_Man?f_ri=5656","dom_id":"work_28649317","summary":"What is it that differentiates man and puts him on the throne of the entire animal kingdom? Yes, it's the human brain, and not the human, which is the most valuable creation of God. But the brain, all its knowledge and power are destroyed after the death of man. Is it possible to model a brain and upload the contents of the real natural brain into it thereby propagating life even after death? Yes, indeed. Today, organ donation is giving a new lease of life to many ailing patients; however can brain be added to the list of organs that can be donated? Imagine the marvels that would be back into existence if we could replicate and restore the brains of geniuses like Sir Albert Einstein or Newton or even our great leaders of the past like Mahatma Gandhi. This paper presents a literature survey on the Blue Brain technology that promptly answers all these sparkling questions. Scientists today are in research to take artificial intelligence to a level beyond everything, to create a virtual brain that could think, react, make decisions and also keep everything in some form of memory to do everything that a normal human brain can. To achieve this, the main approach is to upload an actual brain in a virtual brain. So that even after death the person's conscience would be able to function exactly as a normal brain in the form of a machine. IBM along with scientists at BMI (Brain and Mind Institute) École Polytechnique Fédérale de Lausanne (EPFL) Research University in Switzerland are simulating the brain's biological systems into a 3D model, which would recreate the electrochemical interactions that take place inside the brain. If this simulation results in a success, the modeling would extend to different parts of the brain and make it function with all the abilities of a natural brain, thereby eliminating the chances of any brain malfunctions such as psychiatric disorders like depression and autism, which are possible in the normal brain. IBM names this project as the 'Blue Brain' project.","downloadable_attachments":[{"id":49021084,"asset_id":28649317,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":53783504,"first_name":"Meet","last_name":"Gidwani","domain_name":"mu","page_name":"MEETGIDWANI","display_name":"Meet Gidwani","profile_url":"https://mu.academia.edu/MEETGIDWANI?f_ri=5656","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=5656","nofollow":true},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true},{"id":1613,"name":"Brain Imaging","url":"https://www.academia.edu/Documents/in/Brain_Imaging?f_ri=5656","nofollow":true},{"id":2583,"name":"Deep Brain Stimulation","url":"https://www.academia.edu/Documents/in/Deep_Brain_Stimulation?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":11880,"name":"Brain Computer Interface","url":"https://www.academia.edu/Documents/in/Brain_Computer_Interface?f_ri=5656"},{"id":14277,"name":"Brain and Cognitive Development","url":"https://www.academia.edu/Documents/in/Brain_and_Cognitive_Development?f_ri=5656"},{"id":21548,"name":"Cognitive Neuroscience","url":"https://www.academia.edu/Documents/in/Cognitive_Neuroscience?f_ri=5656"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping?f_ri=5656"},{"id":81182,"name":"Deep Learning","url":"https://www.academia.edu/Documents/in/Deep_Learning?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":219466,"name":"Nanobots","url":"https://www.academia.edu/Documents/in/Nanobots?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_39335117" data-work_id="39335117" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/39335117/Experimental_Characterisation_of_Eye_Tracking_Sensors_for_Adaptive_Human_Machine_Systems">Experimental Characterisation of Eye-Tracking Sensors for Adaptive Human-Machine Systems</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Adaptive Human-Machine Interfaces and Interactions (HMI2) are closed-loop cyber-physical systems comprising a network of sensors for measuring human, environmental and mission parameters, in conjunction with suitable software for adapting... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_39335117" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Adaptive Human-Machine Interfaces and Interactions (HMI2) are closed-loop cyber-physical systems comprising a network of sensors for measuring human, environmental and mission parameters, in conjunction with suitable software for adapting the HMI2 (command, control and display functions) in response to these real-time measurements. Cognitive HMI2 are a particular subclass of these systems, which support dynamic HMI2 adaptations based on the user's cognitive states. These states are estimated in real-time based on various neuro-physiological parameters from gaze, cardiorespiratory and brain activity measurements, which can be fused using suitable models. However, these measurements are affected by a variety of environmental factors and therefore their accuracy and precision need to be accurately characterised prior to operational use. This paper describes the characterisation activities performed on two types of eye tracking devices being used to support the development of cognitive human-machine systems. To classify the user's cognitive states, eye-tracking features are processed by a machine learning classifier based on fuzzy logic. This paper describes how the uncertainty associated with the classified outputs is quantified by propagating the uncertainty of the input features, through the classifier. This process is detailed in the paper due to its growing relevance because machine learning classifiers are now in common use.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/39335117" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c5af4eb9cda9f895d3a03a962fcf4196" rel="nofollow" data-download="{"attachment_id":59475284,"asset_id":39335117,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/59475284/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9093041" rel="nofollow" href="https://khalifa.academia.edu/RobertoSabatini">Roberto Sabatini</a><script data-card-contents-for-user="9093041" type="text/json">{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}</script></span></span></li><li class="js-paper-rank-work_39335117 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="39335117"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 39335117, container: ".js-paper-rank-work_39335117", }); 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$(".js-view-count[data-work-id=39335117]").text(description); $(".js-view-count-work_39335117").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_39335117").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="39335117"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="49" rel="nofollow" href="https://www.academia.edu/Documents/in/Electrical_Engineering">Electrical Engineering</a>, <script data-card-contents-for-ri="49" type="text/json">{"id":49,"name":"Electrical Engineering","url":"https://www.academia.edu/Documents/in/Electrical_Engineering?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="88" rel="nofollow" href="https://www.academia.edu/Documents/in/Aerospace_Engineering">Aerospace Engineering</a>, <script data-card-contents-for-ri="88" type="text/json">{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="161" rel="nofollow" href="https://www.academia.edu/Documents/in/Neuroscience">Neuroscience</a>, <script data-card-contents-for-ri="161" type="text/json">{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="465" rel="nofollow" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a><script data-card-contents-for-ri="465" type="text/json">{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=39335117]'), work: {"id":39335117,"title":"Experimental Characterisation of Eye-Tracking Sensors for Adaptive Human-Machine Systems","created_at":"2019-06-01T02:22:23.181-07:00","url":"https://www.academia.edu/39335117/Experimental_Characterisation_of_Eye_Tracking_Sensors_for_Adaptive_Human_Machine_Systems?f_ri=5656","dom_id":"work_39335117","summary":"Adaptive Human-Machine Interfaces and Interactions (HMI2) are closed-loop cyber-physical systems comprising a network of sensors for measuring human, environmental and mission parameters, in conjunction with suitable software for adapting the HMI2 (command, control and display functions) in response to these real-time measurements. Cognitive HMI2 are a particular subclass of these systems, which support dynamic HMI2 adaptations based on the user's cognitive states. These states are estimated in real-time based on various neuro-physiological parameters from gaze, cardiorespiratory and brain activity measurements, which can be fused using suitable models. However, these measurements are affected by a variety of environmental factors and therefore their accuracy and precision need to be accurately characterised prior to operational use. This paper describes the characterisation activities performed on two types of eye tracking devices being used to support the development of cognitive human-machine systems. To classify the user's cognitive states, eye-tracking features are processed by a machine learning classifier based on fuzzy logic. This paper describes how the uncertainty associated with the classified outputs is quantified by propagating the uncertainty of the input features, through the classifier. This process is detailed in the paper due to its growing relevance because machine learning classifiers are now in common use.","downloadable_attachments":[{"id":59475284,"asset_id":39335117,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}],"research_interests":[{"id":49,"name":"Electrical Engineering","url":"https://www.academia.edu/Documents/in/Electrical_Engineering?f_ri=5656","nofollow":true},{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true},{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience?f_ri=5656","nofollow":true},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true},{"id":1526,"name":"Sensors and Sensing","url":"https://www.academia.edu/Documents/in/Sensors_and_Sensing?f_ri=5656"},{"id":1755,"name":"Eye tracking","url":"https://www.academia.edu/Documents/in/Eye_tracking?f_ri=5656"},{"id":3762,"name":"Human Factors","url":"https://www.academia.edu/Documents/in/Human_Factors?f_ri=5656"},{"id":4165,"name":"Fuzzy Logic","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic?f_ri=5656"},{"id":4735,"name":"Sensor","url":"https://www.academia.edu/Documents/in/Sensor?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":9136,"name":"Wireless Sensor Networks","url":"https://www.academia.edu/Documents/in/Wireless_Sensor_Networks?f_ri=5656"},{"id":14668,"name":"Aerospace","url":"https://www.academia.edu/Documents/in/Aerospace?f_ri=5656"},{"id":21548,"name":"Cognitive Neuroscience","url":"https://www.academia.edu/Documents/in/Cognitive_Neuroscience?f_ri=5656"},{"id":54123,"name":"Artificial Neural Networks","url":"https://www.academia.edu/Documents/in/Artificial_Neural_Networks?f_ri=5656"},{"id":62386,"name":"Avionics","url":"https://www.academia.edu/Documents/in/Avionics?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":170496,"name":"Multi Sensor Data Fusion","url":"https://www.academia.edu/Documents/in/Multi_Sensor_Data_Fusion?f_ri=5656"},{"id":204424,"name":"Gaze and Representation","url":"https://www.academia.edu/Documents/in/Gaze_and_Representation?f_ri=5656"},{"id":976383,"name":"Eye and Gaze Tracking","url":"https://www.academia.edu/Documents/in/Eye_and_Gaze_Tracking?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_43758157" data-work_id="43758157" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/43758157/UAS_Human_Factors_and_Human_Machine_Interface_Design">UAS Human Factors and Human-Machine Interface Design</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The human-machine interface (HMI) is a crucial yet often overlooked aspect in the design of Unmanned Aircraft Systems (UASs). A properly designed HMI enhances situational awareness and reduces the workload of the ground pilot, thereby... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_43758157" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The human-machine interface (HMI) is a crucial yet often overlooked aspect in the design of Unmanned Aircraft Systems (UASs). A properly designed HMI enhances situational awareness and reduces the workload of the ground pilot, thereby contributing to improving the overall mission performance. Typically, a Human Factors Engineering (HFE) program provides a methodological process to support good design. The program comprises three iterative stages: requirements analysis and capture, design and evaluation. A number of approaches can be adopted in the HFE program but given the wide range of applications and missions that are being undertaken by different types of UAS, it is advantageous to adopt a functional approach towards HMI design, where the HMI is designed around specific functions to be performed by either the human user or the system. The typical UAS functions include mission planning, sensor operation, data analysis and sense-and-avoid (SAA), and can also extend to multi-platform coordination and collaborative decision-making. The human factors considerations and the associated HMI elements supporting these functionalities are discussed.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/43758157" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4da2de54cfca3b7bd181a1c0c3f865e5" rel="nofollow" data-download="{"attachment_id":64958379,"asset_id":43758157,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/64958379/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9093041" rel="nofollow" href="https://khalifa.academia.edu/RobertoSabatini">Roberto Sabatini</a><script data-card-contents-for-user="9093041" type="text/json">{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}</script></span></span></li><li class="js-paper-rank-work_43758157 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="43758157"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 43758157, container: ".js-paper-rank-work_43758157", }); 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A properly designed HMI enhances situational awareness and reduces the workload of the ground pilot, thereby contributing to improving the overall mission performance. Typically, a Human Factors Engineering (HFE) program provides a methodological process to support good design. The program comprises three iterative stages: requirements analysis and capture, design and evaluation. A number of approaches can be adopted in the HFE program but given the wide range of applications and missions that are being undertaken by different types of UAS, it is advantageous to adopt a functional approach towards HMI design, where the HMI is designed around specific functions to be performed by either the human user or the system. The typical UAS functions include mission planning, sensor operation, data analysis and sense-and-avoid (SAA), and can also extend to multi-platform coordination and collaborative decision-making. The human factors considerations and the associated HMI elements supporting these functionalities are discussed.","downloadable_attachments":[{"id":64958379,"asset_id":43758157,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}],"research_interests":[{"id":77,"name":"Robotics","url":"https://www.academia.edu/Documents/in/Robotics?f_ri=5656","nofollow":true},{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true},{"id":1649,"name":"Ergonomics","url":"https://www.academia.edu/Documents/in/Ergonomics?f_ri=5656","nofollow":true},{"id":3641,"name":"Aeronautical Engineering","url":"https://www.academia.edu/Documents/in/Aeronautical_Engineering?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":9586,"name":"Unmanned Aircraft Systems","url":"https://www.academia.edu/Documents/in/Unmanned_Aircraft_Systems?f_ri=5656"},{"id":12059,"name":"Human-Robot Interaction","url":"https://www.academia.edu/Documents/in/Human-Robot_Interaction?f_ri=5656"},{"id":12105,"name":"Aeronautics and Aerospace Operations","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Aerospace_Operations?f_ri=5656"},{"id":14668,"name":"Aerospace","url":"https://www.academia.edu/Documents/in/Aerospace?f_ri=5656"},{"id":44890,"name":"Unmanned Aerial Vehicles","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicles?f_ri=5656"},{"id":62386,"name":"Avionics","url":"https://www.academia.edu/Documents/in/Avionics?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":128454,"name":"Human Robot Interaction","url":"https://www.academia.edu/Documents/in/Human_Robot_Interaction?f_ri=5656"},{"id":133350,"name":"Avionics Engineering","url":"https://www.academia.edu/Documents/in/Avionics_Engineering?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":181995,"name":"Aeronautics","url":"https://www.academia.edu/Documents/in/Aeronautics?f_ri=5656"},{"id":189027,"name":"Unmanned Aerial Vehicle (UAV)","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicle_UAV_?f_ri=5656"},{"id":238499,"name":"Aeronautics and Astronautics","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Astronautics?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_42225008" data-work_id="42225008" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/42225008/Code_of_Practice_for_the_Design_and_Evaluation_of_ADAS_Advanced_Driver_Assistance_Systems_">Code of Practice for the Design and Evaluation of ADAS (Advanced Driver Assistance Systems)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The Code of Practice (CoP) comprises a suitable ADAS (Advanced Driver Assistance System) description concept including ADAS specific requirements for system development. It summarises best practices and proposes... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_42225008" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The  Code  of  Practice  (CoP)  comprises  a  suitable ADAS  (Advanced  Driver  Assistance  System) description  concept  including ADAS  specific requirements  for  system  development. It  summarises best  practices  and  proposes  methods  for  risk assessment and controllability evaluation. The Code of Practice has been pro-duced  by  a  group  of  experts within  the  RESPONSE  3  project,  a subproject  of  the integrated  project  PReVENT,  a  European  automotive industry  activity,  co-funded  by  the  European Commission, to contribute to road safety by developing and demonstrating pre-ventive safety applications and technologies.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/42225008" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3804a0cf93df01c2675e64cedb8b5193" rel="nofollow" data-download="{"attachment_id":62374317,"asset_id":42225008,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/62374317/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="149645851" href="https://turn-de.academia.edu/ThomasWinkle">Prof. Dr.-Ing. MBA Thomas Winkle</a><script data-card-contents-for-user="149645851" type="text/json">{"id":149645851,"first_name":"Prof. Dr.-Ing. MBA Thomas","last_name":"Winkle","domain_name":"turn-de","page_name":"ThomasWinkle","display_name":"Prof. Dr.-Ing. 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It summarises best practices and proposes methods for risk assessment and controllability evaluation. The Code of Practice has been pro-duced by a group of experts within the RESPONSE 3 project, a subproject of the integrated project PReVENT, a European automotive industry activity, co-funded by the European Commission, to contribute to road safety by developing and demonstrating pre-ventive safety applications and technologies. ","downloadable_attachments":[{"id":62374317,"asset_id":42225008,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":149645851,"first_name":"Prof. Dr.-Ing. MBA Thomas","last_name":"Winkle","domain_name":"turn-de","page_name":"ThomasWinkle","display_name":"Prof. Dr.-Ing. MBA Thomas Winkle","profile_url":"https://turn-de.academia.edu/ThomasWinkle?f_ri=5656","photo":"https://0.academia-photos.com/149645851/41375549/33556935/s65_thomas.winkle.png"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=5656","nofollow":true},{"id":89,"name":"Automotive Systems Engineering","url":"https://www.academia.edu/Documents/in/Automotive_Systems_Engineering?f_ri=5656","nofollow":true},{"id":3762,"name":"Human Factors","url":"https://www.academia.edu/Documents/in/Human_Factors?f_ri=5656","nofollow":true},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true},{"id":12061,"name":"Risk Management","url":"https://www.academia.edu/Documents/in/Risk_Management?f_ri=5656"},{"id":45676,"name":"Failure Analysis","url":"https://www.academia.edu/Documents/in/Failure_Analysis?f_ri=5656"},{"id":47297,"name":"Automotive Engineering","url":"https://www.academia.edu/Documents/in/Automotive_Engineering?f_ri=5656"},{"id":51181,"name":"Controllability","url":"https://www.academia.edu/Documents/in/Controllability?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":195615,"name":"Production Monitoring","url":"https://www.academia.edu/Documents/in/Production_Monitoring?f_ri=5656"},{"id":413661,"name":"Vehicle HMI Design","url":"https://www.academia.edu/Documents/in/Vehicle_HMI_Design?f_ri=5656"},{"id":516035,"name":"Automated driving","url":"https://www.academia.edu/Documents/in/Automated_driving?f_ri=5656"},{"id":575546,"name":"Safety integrity levels","url":"https://www.academia.edu/Documents/in/Safety_integrity_levels?f_ri=5656"},{"id":736368,"name":"Functional Safety","url":"https://www.academia.edu/Documents/in/Functional_Safety?f_ri=5656"},{"id":1110235,"name":"Advanced Driver Assistance Systems","url":"https://www.academia.edu/Documents/in/Advanced_Driver_Assistance_Systems?f_ri=5656"},{"id":1649044,"name":"Levels of Automation","url":"https://www.academia.edu/Documents/in/Levels_of_Automation?f_ri=5656"},{"id":1655510,"name":"Advanced Driver Assistance System","url":"https://www.academia.edu/Documents/in/Advanced_Driver_Assistance_System?f_ri=5656"},{"id":2818786,"name":"ISO 26262","url":"https://www.academia.edu/Documents/in/ISO_26262?f_ri=5656"},{"id":2951422,"name":"Advanced driver assistance systems (ADASs)","url":"https://www.academia.edu/Documents/in/Advanced_driver_assistance_systems_ADASs_?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_64899586" data-work_id="64899586" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/64899586/Human_Machine_Collaborative_Decision_making_in_Organizations_Examining_the_Impact_of_Algorithm_Prediction_Bias_on_Decision_Bias_and_Perceived_Fairness">Human-Machine Collaborative Decision-making in Organizations: Examining the Impact of Algorithm Prediction Bias on Decision Bias and Perceived Fairness</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">Slides for our talk given at Workshop on Information Systems and Economics (WISE) 2021, December 16, Austin, TX</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/64899586" 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class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="99615439" href="https://warwick.academia.edu/AnhLuong">Anh Luong</a><script data-card-contents-for-user="99615439" type="text/json">{"id":99615439,"first_name":"Anh","last_name":"Luong","domain_name":"warwick","page_name":"AnhLuong","display_name":"Anh Luong","profile_url":"https://warwick.academia.edu/AnhLuong?f_ri=5656","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_64899586 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="64899586"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 64899586, container: ".js-paper-rank-work_64899586", }); });</script></li><li class="js-percentile-work_64899586 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class="InlineList-item-text" data-has-card-for-ri="465" rel="nofollow" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a>, <script data-card-contents-for-ri="465" type="text/json">{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="732" rel="nofollow" href="https://www.academia.edu/Documents/in/Experimental_Economics">Experimental Economics</a>, <script data-card-contents-for-ri="732" type="text/json">{"id":732,"name":"Experimental Economics","url":"https://www.academia.edu/Documents/in/Experimental_Economics?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5656" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-machine_Systems">Human-machine Systems</a><script data-card-contents-for-ri="5656" 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TX","downloadable_attachments":[{"id":76718811,"asset_id":64899586,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":99615439,"first_name":"Anh","last_name":"Luong","domain_name":"warwick","page_name":"AnhLuong","display_name":"Anh Luong","profile_url":"https://warwick.academia.edu/AnhLuong?f_ri=5656","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=5656","nofollow":true},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true},{"id":732,"name":"Experimental Economics","url":"https://www.academia.edu/Documents/in/Experimental_Economics?f_ri=5656","nofollow":true},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true},{"id":11721,"name":"Equality","url":"https://www.academia.edu/Documents/in/Equality?f_ri=5656"},{"id":22254,"name":"Cognitive Bias","url":"https://www.academia.edu/Documents/in/Cognitive_Bias?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":66379,"name":"Automation","url":"https://www.academia.edu/Documents/in/Automation?f_ri=5656"},{"id":111320,"name":"Fairness","url":"https://www.academia.edu/Documents/in/Fairness?f_ri=5656"},{"id":116537,"name":"Heuristics and Biases","url":"https://www.academia.edu/Documents/in/Heuristics_and_Biases?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":2751562,"name":"Algorithmic Bias","url":"https://www.academia.edu/Documents/in/Algorithmic_Bias?f_ri=5656"},{"id":3891258,"name":"human-machine collaboration","url":"https://www.academia.edu/Documents/in/human_machine_collaboration?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_37464831" data-work_id="37464831" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/37464831/Analog_Photography_in_a_Digital_World_The_Phenomenology_and_Contemporary_Status_of_the_Single_Lens_Reflex_Camera_pdf">Analog Photography in a Digital World: The Phenomenology and Contemporary Status of the Single Lens Reflex Camera.pdf</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Digital photography has eclipsed its analog form, yet films cameras such as the Single Lens Reflex camera remain in use. This essay interrogates the status of the SLR camera in contemporary culture through a phenomenological lens to... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_37464831" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Digital photography has eclipsed its analog form, yet films cameras such as the Single Lens Reflex camera remain in use. This essay interrogates the status of the SLR camera in contemporary culture through a phenomenological lens to interrogate how, as a tool, it alters the user's relationship to the world. It then situates the SLR camera in the broader historical narrative of photographic technology and explores the contemporary relationship of the SLR camera to digital infrastructure. The essay proposes the notion of the " equipment-context " to refer to the broader cultural and institutional infrastructure that sustains SLR technology in the present environment. It contends that present interest in SLR cameras arises in context with an interest in film photography as a marginalized technology and aesthetic fetishization of the limited flexibility of older photographic cameras, and that the resuscitation of the SLR camera in contemporary culture brings it into dialogue with digital devices resulting in a hybrid of analog and digital.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37464831" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="06f1da020cb2d77f2d8489c267558017" rel="nofollow" data-download="{"attachment_id":57433353,"asset_id":37464831,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/57433353/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="56402328" href="https://independent.academia.edu/AngjelinHila">Angjelin Hila</a><script data-card-contents-for-user="56402328" type="text/json">{"id":56402328,"first_name":"Angjelin","last_name":"Hila","domain_name":"independent","page_name":"AngjelinHila","display_name":"Angjelin Hila","profile_url":"https://independent.academia.edu/AngjelinHila?f_ri=5656","photo":"https://0.academia-photos.com/56402328/19192431/36403869/s65_angjelin.hila.jpg"}</script></span></span></li><li class="js-paper-rank-work_37464831 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="37464831"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 37464831, container: ".js-paper-rank-work_37464831", }); 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This essay interrogates the status of the SLR camera in contemporary culture through a phenomenological lens to interrogate how, as a tool, it alters the user's relationship to the world. It then situates the SLR camera in the broader historical narrative of photographic technology and explores the contemporary relationship of the SLR camera to digital infrastructure. The essay proposes the notion of the \" equipment-context \" to refer to the broader cultural and institutional infrastructure that sustains SLR technology in the present environment. It contends that present interest in SLR cameras arises in context with an interest in film photography as a marginalized technology and aesthetic fetishization of the limited flexibility of older photographic cameras, and that the resuscitation of the SLR camera in contemporary culture brings it into dialogue with digital devices resulting in a hybrid of analog and digital. ","downloadable_attachments":[{"id":57433353,"asset_id":37464831,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":56402328,"first_name":"Angjelin","last_name":"Hila","domain_name":"independent","page_name":"AngjelinHila","display_name":"Angjelin Hila","profile_url":"https://independent.academia.edu/AngjelinHila?f_ri=5656","photo":"https://0.academia-photos.com/56402328/19192431/36403869/s65_angjelin.hila.jpg"}],"research_interests":[{"id":128,"name":"History","url":"https://www.academia.edu/Documents/in/History?f_ri=5656","nofollow":true},{"id":803,"name":"Philosophy","url":"https://www.academia.edu/Documents/in/Philosophy?f_ri=5656","nofollow":true},{"id":808,"name":"Aesthetics","url":"https://www.academia.edu/Documents/in/Aesthetics?f_ri=5656","nofollow":true},{"id":1589,"name":"Photography","url":"https://www.academia.edu/Documents/in/Photography?f_ri=5656","nofollow":true},{"id":2869,"name":"Digital Media","url":"https://www.academia.edu/Documents/in/Digital_Media?f_ri=5656"},{"id":4004,"name":"Contextualism","url":"https://www.academia.edu/Documents/in/Contextualism?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":8436,"name":"Edmund Husserl","url":"https://www.academia.edu/Documents/in/Edmund_Husserl?f_ri=5656"},{"id":8437,"name":"Martin Heidegger","url":"https://www.academia.edu/Documents/in/Martin_Heidegger?f_ri=5656"},{"id":42042,"name":"Nostalgia","url":"https://www.academia.edu/Documents/in/Nostalgia?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":448445,"name":"Phenomenlogy","url":"https://www.academia.edu/Documents/in/Phenomenlogy?f_ri=5656"},{"id":665813,"name":"Analogue Vs. Digital","url":"https://www.academia.edu/Documents/in/Analogue_Vs._Digital?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_40898219" data-work_id="40898219" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/40898219/Psychrometrics_presentation">Psychrometrics presentation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Abstract Psychrometry is concerned with the behavior of humid air and the prediction of its properties. More strictly it covers the behavior of any vapor (not just water vapor) when mixed with a gas (not just air). However, because the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_40898219" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Abstract<br />Psychrometry is concerned with the behavior of humid air and the prediction of its properties. More strictly it covers the behavior of any vapor (not just water vapor) when mixed with a gas (not just air). However, because the air/water system is of huge importance, not least to thermodynamic processes, and is the most commonly encountered gas/vapor mixture, the terminology employed often appears to be specific to air and water. Prediction of the properties of moist air, for example, humidity, maximum possible humidity, temperature, density and so on, is especially important in drying operations. The psychrometric chart is a simple graphical method of presenting this information, and the principles behind the chart are explained in chapter 1. The outcome of a drying process can often be followed more easily by monitoring the condition of the air with the aid of a psychrometric chart than by directly measuring the moisture content of the substance being dried.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/40898219" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="19e93a608fe3dbeccee770a8e91832f2" rel="nofollow" data-download="{"attachment_id":61185975,"asset_id":40898219,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/61185975/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="30453862" href="https://independent.academia.edu/BenjaminBright">Bright Benjamin</a><script data-card-contents-for-user="30453862" type="text/json">{"id":30453862,"first_name":"Bright","last_name":"Benjamin","domain_name":"independent","page_name":"BenjaminBright","display_name":"Bright Benjamin","profile_url":"https://independent.academia.edu/BenjaminBright?f_ri=5656","photo":"https://0.academia-photos.com/30453862/8842648/9871675/s65_bright.benjamin.jpg_oh_c8d4d4b96c1b343b851402817b482af4_oe_559e4451___gda___1440572440_f69d708762d9569615aefa1c2520672a"}</script></span></span></li><li class="js-paper-rank-work_40898219 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="40898219"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 40898219, container: ".js-paper-rank-work_40898219", }); 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More strictly it covers the behavior of any vapor (not just water vapor) when mixed with a gas (not just air). However, because the air/water system is of huge importance, not least to thermodynamic processes, and is the most commonly encountered gas/vapor mixture, the terminology employed often appears to be specific to air and water. Prediction of the properties of moist air, for example, humidity, maximum possible humidity, temperature, density and so on, is especially important in drying operations. The psychrometric chart is a simple graphical method of presenting this information, and the principles behind the chart are explained in chapter 1. The outcome of a drying process can often be followed more easily by monitoring the condition of the air with the aid of a psychrometric chart than by directly measuring the moisture content of the substance being dried. ","downloadable_attachments":[{"id":61185975,"asset_id":40898219,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":30453862,"first_name":"Bright","last_name":"Benjamin","domain_name":"independent","page_name":"BenjaminBright","display_name":"Bright Benjamin","profile_url":"https://independent.academia.edu/BenjaminBright?f_ri=5656","photo":"https://0.academia-photos.com/30453862/8842648/9871675/s65_bright.benjamin.jpg_oh_c8d4d4b96c1b343b851402817b482af4_oe_559e4451___gda___1440572440_f69d708762d9569615aefa1c2520672a"}],"research_interests":[{"id":55,"name":"Environmental Engineering","url":"https://www.academia.edu/Documents/in/Environmental_Engineering?f_ri=5656","nofollow":true},{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true},{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science?f_ri=5656","nofollow":true},{"id":2435,"name":"Fluid Mechanics","url":"https://www.academia.edu/Documents/in/Fluid_Mechanics?f_ri=5656","nofollow":true},{"id":3641,"name":"Aeronautical Engineering","url":"https://www.academia.edu/Documents/in/Aeronautical_Engineering?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":12947,"name":"Deformation and strain","url":"https://www.academia.edu/Documents/in/Deformation_and_strain?f_ri=5656"},{"id":113047,"name":"Mechanical Engineering Design","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering_Design?f_ri=5656"},{"id":426896,"name":"PSYCHROMETRY","url":"https://www.academia.edu/Documents/in/PSYCHROMETRY?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_30757714" data-work_id="30757714" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/30757714/Risk_management_sociotechnological_risks_and_disasters">Risk management: sociotechnological risks and disasters</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This chapter is about managing sociotechnological risks. It is in the 70s that the notion of ‘high-risk’ (or ‘safety critical’) systems started to be distinguished and grouped into an independent category including industries such as the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_30757714" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This chapter is about managing sociotechnological risks. It is in the 70s that the notion of ‘high-risk’ (or ‘safety critical’) systems started to be distinguished and grouped into an independent category including industries such as the nuclear, aviation, marine, petrochemical or the railways. Any attempt such as this one to introduce this background in a few pages is necessarily restrictive, partly unfair but also a simplified account. And, there are of course many different strategies to do so. One option is to consider the field through the scientific disciplines involved, say sociology, engineering, psychology, ergonomics, management, etc. A second one, quite related to the first, is to introduce pioneers who, from different disciplinary backgrounds, produced seminal contributions used as shared references among various research communities interested in the safety of complex sociotechnological systems. A third one is to look into industry (aviation, nuclear or petrochemical) in order to illustrate and to differentiate the diversity of problems related to sociotechnological risks and how they materialise. Another option is to identify core concepts that sometimes cut across a range of disciplines, authors and industry which offers also good insights into the issues involved with sociotechnological risks. In any case, it is a very challenging task. The intention in this chapter is to combine a bit of these strategies in order to offer the reader a broad vision, and to follow editors’ guidelines specifying the following structure: first, key concepts, second, major debates and third open questions/perspectives.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/30757714" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b056001716032c81b494facbdda73d04" rel="nofollow" data-download="{"attachment_id":51196354,"asset_id":30757714,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51196354/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="5366712" href="https://ineris.academia.edu/jeanchristophelecoze">jean-christophe le coze</a><script data-card-contents-for-user="5366712" type="text/json">{"id":5366712,"first_name":"jean-christophe","last_name":"le coze","domain_name":"ineris","page_name":"jeanchristophelecoze","display_name":"jean-christophe le coze","profile_url":"https://ineris.academia.edu/jeanchristophelecoze?f_ri=5656","photo":"https://0.academia-photos.com/5366712/2752682/25648411/s65_jean-christophe.le_coze.png"}</script></span></span></li><li class="js-paper-rank-work_30757714 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="30757714"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 30757714, container: ".js-paper-rank-work_30757714", }); 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It is in the 70s that the notion of ‘high-risk’ (or ‘safety critical’) systems started to be distinguished and grouped into an independent category including industries such as the nuclear, aviation, marine, petrochemical or the railways. Any attempt such as this one to introduce this background in a few pages is necessarily restrictive, partly unfair but also a simplified account. And, there are of course many different strategies to do so. One option is to consider the field through the scientific disciplines involved, say sociology, engineering, psychology, ergonomics, management, etc. A second one, quite related to the first, is to introduce pioneers who, from different disciplinary backgrounds, produced seminal contributions used as shared references among various research communities interested in the safety of complex sociotechnological systems. A third one is to look into industry (aviation, nuclear or petrochemical) in order to illustrate and to differentiate the diversity of problems related to sociotechnological risks and how they materialise. Another option is to identify core concepts that sometimes cut across a range of disciplines, authors and industry which offers also good insights into the issues involved with sociotechnological risks. In any case, it is a very challenging task. The intention in this chapter is to combine a bit of these strategies in order to offer the reader a broad vision, and to follow editors’ guidelines specifying the following structure: first, key concepts, second, major debates and third open questions/perspectives. 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href="https://www.academia.edu/28311772/Cognitive_Pilot_Aircraft_Interface_for_Single_Pilot_Operations">Cognitive Pilot-Aircraft Interface for Single-Pilot Operations</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Considering the foreseen expansion of the air transportation system within the next two decades and the opportunities offered by higher levels of automation, Single-Pilot Operations (SPO) are regarded as viable alternatives to... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_28311772" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Considering the foreseen expansion of the air transportation system within the next two decades and the opportunities offered by higher levels of automation, Single-Pilot Operations (SPO) are regarded as viable alternatives to conventional two-pilot operations for commercial transport aircraft. In comparison with current operations, SPO require high cognitive efforts, which potentially result in increased human error rates. This article proposes a novel Cognitive Pilot-Aircraft Interface (CPAI) concept, which introduces adaptive knowledge-based system functionalities to assist single pilots in the accomplishment of mission-essential and safety-critical tasks in modern commercial transport aircraft. The proposed CPAI system implementation is based on real-time detection of the pilot physiological and cognitive states, allowing the avoidance of pilot errors and supporting enhanced synergies between the human and the avionics systems.  These synergies yield significant improvements in the overall performance and safety levels. A CPAI working process consisting of sensing, estimation and reconfiguration steps is developed to support the assessment of physiological and external conditions, a dynamic allocation of tasks and adaptive alerting. Suitable mathematical models are introduced to estimate the mental demand associated to each piloting task and to assess the pilot cognitive states. Suitably implemented decision logics allow a continuous and optimal adjustment of the automation levels as a function of the estimated cognitive states. Representative numerical simulation test cases provide a preliminary validation of the CPAI concept. In particular, the continuous adaptation of the flight deck’s automation successfully maintains the pilot’s task load within an optimal range, mitigating the onset of hazardous fatigue levels. It is anticipated that by including suitably designed Psychophysiological-Based Integrity Augmentation (PBIA) functionalities the CPAI will allow to fulfill the evolving aircraft certification requirements and hence support the implementation of SPO in commercial transport aircraft.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/28311772" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d4cd3024ac12a4fa4b2f6b1abda87a1c" rel="nofollow" data-download="{"attachment_id":48642594,"asset_id":28311772,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48642594/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9093041" rel="nofollow" href="https://khalifa.academia.edu/RobertoSabatini">Roberto Sabatini</a><script data-card-contents-for-user="9093041" type="text/json">{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-28311772">+2</span><div class="hidden js-additional-users-28311772"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://khalifa.academia.edu/AlessandroGardi">Alessandro Gardi</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://rmit.academia.edu/SubramanianRamasamy">Subramanian Ramasamy</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-28311772'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-28311772').html(); 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In comparison with current operations, SPO require high cognitive efforts, which potentially result in increased human error rates. This article proposes a novel Cognitive Pilot-Aircraft Interface (CPAI) concept, which introduces adaptive knowledge-based system functionalities to assist single pilots in the accomplishment of mission-essential and safety-critical tasks in modern commercial transport aircraft. The proposed CPAI system implementation is based on real-time detection of the pilot physiological and cognitive states, allowing the avoidance of pilot errors and supporting enhanced synergies between the human and the avionics systems. These synergies yield significant improvements in the overall performance and safety levels. A CPAI working process consisting of sensing, estimation and reconfiguration steps is developed to support the assessment of physiological and external conditions, a dynamic allocation of tasks and adaptive alerting. Suitable mathematical models are introduced to estimate the mental demand associated to each piloting task and to assess the pilot cognitive states. Suitably implemented decision logics allow a continuous and optimal adjustment of the automation levels as a function of the estimated cognitive states. Representative numerical simulation test cases provide a preliminary validation of the CPAI concept. In particular, the continuous adaptation of the flight deck’s automation successfully maintains the pilot’s task load within an optimal range, mitigating the onset of hazardous fatigue levels. 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Descartes' Philosophie in der Kontroverse</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Indem man die Maschine als in sich geschlossenes Gebilde konzipierte, wurde sie in einen unversöhnlichen Gegensatz zum “Menschlichen” gebracht. In diesem Text lege ich dar, dass ein Zusammendenken von Mensch und Maschine bereits vor über... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_46850928" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Indem man die Maschine als in sich geschlossenes Gebilde konzipierte, wurde sie in einen unversöhnlichen Gegensatz zum “Menschlichen” gebracht. In diesem Text lege ich dar, dass ein Zusammendenken von Mensch und Maschine bereits vor über 350 Jahren dazu führte, dass das menschliche Selbstverständnis grundlegend infrage gestellt werden musste. Mit anderen Worten versuche ich nachzuvollziehen, was es bedeutet, sich den eigenen Körper als Maschine vorzustellen. Damit werfe ich einen neuen Blick auf den philosophiehistorischen Dualismus von Geist und Körper, der hier nicht hinsichtlich der Aufteilung von Vermögen wie Denken, Einbilden und Wahrnehmen befragt wird, sondern als ein Gebilde der Einbildungskraft und der philosophischen Methode verstanden werden kann, das sich in der Figur der beseelten Maschine konkretisiert.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/46850928" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="0b1a0d00414e2528dc08d97511d13553" rel="nofollow" data-download="{"attachment_id":66263153,"asset_id":46850928,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/66263153/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="25586226" href="https://uni-graz.academia.edu/DanielNeumann">Daniel Neumann</a><script data-card-contents-for-user="25586226" type="text/json">{"id":25586226,"first_name":"Daniel","last_name":"Neumann","domain_name":"uni-graz","page_name":"DanielNeumann","display_name":"Daniel Neumann","profile_url":"https://uni-graz.academia.edu/DanielNeumann?f_ri=5656","photo":"https://0.academia-photos.com/25586226/18200584/18181672/s65_daniel.neumann.jpg"}</script></span></span></li><li class="js-paper-rank-work_46850928 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="46850928"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 46850928, container: ".js-paper-rank-work_46850928", }); 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$(".js-view-count[data-work-id=46850928]").text(description); $(".js-view-count-work_46850928").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_46850928").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="46850928"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="5656" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-machine_Systems">Human-machine Systems</a>, <script data-card-contents-for-ri="5656" type="text/json">{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="18187" rel="nofollow" href="https://www.academia.edu/Documents/in/Rationalism">Rationalism</a>, <script data-card-contents-for-ri="18187" type="text/json">{"id":18187,"name":"Rationalism","url":"https://www.academia.edu/Documents/in/Rationalism?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="31353" rel="nofollow" href="https://www.academia.edu/Documents/in/Descartes">Descartes</a><script data-card-contents-for-ri="31353" type="text/json">{"id":31353,"name":"Descartes","url":"https://www.academia.edu/Documents/in/Descartes?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=46850928]'), work: {"id":46850928,"title":"Der Mensch als zwecklose Maschine? Descartes' Philosophie in der Kontroverse","created_at":"2021-04-14T01:14:40.848-07:00","url":"https://www.academia.edu/46850928/Der_Mensch_als_zwecklose_Maschine_Descartes_Philosophie_in_der_Kontroverse?f_ri=5656","dom_id":"work_46850928","summary":"Indem man die Maschine als in sich geschlossenes Gebilde konzipierte, wurde sie in einen unversöhnlichen Gegensatz zum “Menschlichen” gebracht. In diesem Text lege ich dar, dass ein Zusammendenken von Mensch und Maschine bereits vor über 350 Jahren dazu führte, dass das menschliche Selbstverständnis grundlegend infrage gestellt werden musste. Mit anderen Worten versuche ich nachzuvollziehen, was es bedeutet, sich den eigenen Körper als Maschine vorzustellen. Damit werfe ich einen neuen Blick auf den philosophiehistorischen Dualismus von Geist und Körper, der hier nicht hinsichtlich der Aufteilung von Vermögen wie Denken, Einbilden und Wahrnehmen befragt wird, sondern als ein Gebilde der Einbildungskraft und der philosophischen Methode verstanden werden kann, das sich in der Figur der beseelten Maschine konkretisiert.","downloadable_attachments":[{"id":66263153,"asset_id":46850928,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":25586226,"first_name":"Daniel","last_name":"Neumann","domain_name":"uni-graz","page_name":"DanielNeumann","display_name":"Daniel Neumann","profile_url":"https://uni-graz.academia.edu/DanielNeumann?f_ri=5656","photo":"https://0.academia-photos.com/25586226/18200584/18181672/s65_daniel.neumann.jpg"}],"research_interests":[{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true},{"id":18187,"name":"Rationalism","url":"https://www.academia.edu/Documents/in/Rationalism?f_ri=5656","nofollow":true},{"id":31353,"name":"Descartes","url":"https://www.academia.edu/Documents/in/Descartes?f_ri=5656","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_37224611 coauthored" data-work_id="37224611" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/37224611/Avionics_Human_Machine_Interfaces_and_Interactions_for_Manned_and_Unmanned_Aircraft">Avionics Human-Machine Interfaces and Interactions for Manned and Unmanned Aircraft</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Technological advances in avionics systems and components have facilitated the introduction of progressively more integrated and automated Human-Machine Interfaces and Interactions (HMI2) on-board civil and military aircraft. A detailed... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_37224611" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Technological advances in avionics systems and components have facilitated the introduction of progressively more integrated and automated Human-Machine Interfaces and Interactions (HMI2) on-board civil and military aircraft. A detailed review of these HMI2 evolutions is presented, addressing both manned aircraft (fixed and rotary wing) and Remotely Piloted Aircraft System (RPAS) specificities for the most fundamental flight tasks: aviate, navigate, communicate and manage. Due to the large variability in mission requirements, greater emphasis is given to safety-critical displays, command and control functions as well as associated technology developments. Additionally, a top-level definition of RPAS mission-essential functionalities is provided, addressing planning and real-time decision support for single and multi-aircraft operations. While current displays are able to integrate and fuse information from several sources to perform a range of different functions, these displays have limited adaptability. Further development to increase HMI2 adaptiveness has significant potential to enhance the human operator’s effectiveness, thereby contributing to safer and more efficient operations. The adaptive HMI2 concepts in the literature contain three common elements. These elements comprise the ability to assess the system and environmental states; the ability to assess the operator states; and the ability to adapt the HMI2 according to the first two elements. While still an emerging area of research, HMI2 adaptation driven by human performance and cognition has the potential to greatly enhance human-machine teaming through varying the system support according to the user’s needs. However, one of the outstanding challenges in the design of such adaptive systems is the development of suitable models and algorithms to describe human performance and cognitive states based on real-time sensor measurements. After reviewing the state-of-research in human performance assessment and adaptation techniques, detailed recommendations are provided to support the integration of such techniques in the HMI2 of future Communications, Navigations, Surveillance (CNS), Air Traffic Management (CNS/ATM) and Avionics (CNS+A) systems.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37224611" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="935f3a0a23a1a49129b8894fd1de1f02" rel="nofollow" data-download="{"attachment_id":57175799,"asset_id":37224611,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/57175799/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9093041" rel="nofollow" href="https://khalifa.academia.edu/RobertoSabatini">Roberto Sabatini</a><script data-card-contents-for-user="9093041" type="text/json">{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-37224611">+1</span><div class="hidden js-additional-users-37224611"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://khalifa.academia.edu/AlessandroGardi">Alessandro Gardi</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-37224611'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-37224611').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_37224611 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="37224611"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 37224611, container: ".js-paper-rank-work_37224611", }); });</script></li><li class="js-percentile-work_37224611 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 37224611; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_37224611"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_37224611 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="37224611"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 37224611; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=37224611]").text(description); $(".js-view-count-work_37224611").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_37224611").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="37224611"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="50" rel="nofollow" href="https://www.academia.edu/Documents/in/Electronic_Engineering">Electronic Engineering</a>, <script data-card-contents-for-ri="50" type="text/json">{"id":50,"name":"Electronic Engineering","url":"https://www.academia.edu/Documents/in/Electronic_Engineering?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="88" rel="nofollow" href="https://www.academia.edu/Documents/in/Aerospace_Engineering">Aerospace Engineering</a>, <script data-card-contents-for-ri="88" type="text/json">{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="472" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_Computer_Interaction">Human Computer Interaction</a><script data-card-contents-for-ri="472" type="text/json">{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=37224611]'), work: {"id":37224611,"title":"Avionics Human-Machine Interfaces and Interactions for Manned and Unmanned Aircraft","created_at":"2018-08-12T21:29:16.714-07:00","url":"https://www.academia.edu/37224611/Avionics_Human_Machine_Interfaces_and_Interactions_for_Manned_and_Unmanned_Aircraft?f_ri=5656","dom_id":"work_37224611","summary":"Technological advances in avionics systems and components have facilitated the introduction of progressively more integrated and automated Human-Machine Interfaces and Interactions (HMI2) on-board civil and military aircraft. A detailed review of these HMI2 evolutions is presented, addressing both manned aircraft (fixed and rotary wing) and Remotely Piloted Aircraft System (RPAS) specificities for the most fundamental flight tasks: aviate, navigate, communicate and manage. Due to the large variability in mission requirements, greater emphasis is given to safety-critical displays, command and control functions as well as associated technology developments. Additionally, a top-level definition of RPAS mission-essential functionalities is provided, addressing planning and real-time decision support for single and multi-aircraft operations. While current displays are able to integrate and fuse information from several sources to perform a range of different functions, these displays have limited adaptability. Further development to increase HMI2 adaptiveness has significant potential to enhance the human operator’s effectiveness, thereby contributing to safer and more efficient operations. The adaptive HMI2 concepts in the literature contain three common elements. These elements comprise the ability to assess the system and environmental states; the ability to assess the operator states; and the ability to adapt the HMI2 according to the first two elements. While still an emerging area of research, HMI2 adaptation driven by human performance and cognition has the potential to greatly enhance human-machine teaming through varying the system support according to the user’s needs. However, one of the outstanding challenges in the design of such adaptive systems is the development of suitable models and algorithms to describe human performance and cognitive states based on real-time sensor measurements. After reviewing the state-of-research in human performance assessment and adaptation techniques, detailed recommendations are provided to support the integration of such techniques in the HMI2 of future Communications, Navigations, Surveillance (CNS), Air Traffic Management (CNS/ATM) and Avionics (CNS+A) systems.","downloadable_attachments":[{"id":57175799,"asset_id":37224611,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"},{"id":32392907,"first_name":"Alessandro","last_name":"Gardi","domain_name":"khalifa","page_name":"AlessandroGardi","display_name":"Alessandro Gardi","profile_url":"https://khalifa.academia.edu/AlessandroGardi?f_ri=5656","photo":"https://0.academia-photos.com/32392907/40923811/33345526/s65_alessandro.gardi.jpg"}],"research_interests":[{"id":50,"name":"Electronic Engineering","url":"https://www.academia.edu/Documents/in/Electronic_Engineering?f_ri=5656","nofollow":true},{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=5656","nofollow":true},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true},{"id":3641,"name":"Aeronautical Engineering","url":"https://www.academia.edu/Documents/in/Aeronautical_Engineering?f_ri=5656"},{"id":4892,"name":"Autonomous Robotics","url":"https://www.academia.edu/Documents/in/Autonomous_Robotics?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":9586,"name":"Unmanned Aircraft Systems","url":"https://www.academia.edu/Documents/in/Unmanned_Aircraft_Systems?f_ri=5656"},{"id":9589,"name":"Intelligent Transportation Systems","url":"https://www.academia.edu/Documents/in/Intelligent_Transportation_Systems?f_ri=5656"},{"id":10977,"name":"Intelligent Systems","url":"https://www.academia.edu/Documents/in/Intelligent_Systems?f_ri=5656"},{"id":12100,"name":"Aviation","url":"https://www.academia.edu/Documents/in/Aviation?f_ri=5656"},{"id":14668,"name":"Aerospace","url":"https://www.academia.edu/Documents/in/Aerospace?f_ri=5656"},{"id":44890,"name":"Unmanned Aerial Vehicles","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicles?f_ri=5656"},{"id":62386,"name":"Avionics","url":"https://www.academia.edu/Documents/in/Avionics?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":133350,"name":"Avionics Engineering","url":"https://www.academia.edu/Documents/in/Avionics_Engineering?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":159894,"name":"Autonomous Systems","url":"https://www.academia.edu/Documents/in/Autonomous_Systems?f_ri=5656"},{"id":181995,"name":"Aeronautics","url":"https://www.academia.edu/Documents/in/Aeronautics?f_ri=5656"},{"id":238499,"name":"Aeronautics and Astronautics","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Astronautics?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_34837119 coauthored" data-work_id="34837119" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/34837119/Commercial_Airline_Single_Pilot_Operations_System_Design_and_Pathways_to_Certification">Commercial Airline Single-Pilot Operations: System Design and Pathways to Certification</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">For over a decade, the international aviation community has been considering the concept of Single-Pilot Operations (SPO) as a viable solution to the rising costs associated with commercial air transport. Recent advances in... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_34837119" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">For over a decade, the international aviation community has been considering the concept of Single-Pilot Operations (SPO) as a viable solution to the rising costs associated with commercial air transport. Recent advances in Communications, Navigation, Surveillance/Air Traffic Management and Avionics (CNS+A) technologies have allowed higher levels of automation, creating an opportunity for commercial airliners to transit to SPO. By leveraging CNS+A developments, the elevated workload of a single pilot can be mitigated through air-ground collaborative decision making in a number of ways: by expanding the role of ground operators; enhanced support in the strategic (flight planning), tactical (rerouting) and emergency (e.g., during pilot incapacitation) flight phases; as well as higher levels of decision support for the execution of complex tasks including separation assurance, collision avoidance, systems monitoring and landing. In the event of pilot incapacitation, on-board and ground CNS+A systems allow the aircraft to be operated as a Remotely Piloted Aircraft System (RPAS). Psychophysiological sensing and adaptive interfaces are introduced to enable the detection of pilot incapacitation while facilitating operations at higher levels of automation. The concept of a Virtual Pilot Assistant (VPA) system is presented as a possible technology solution introducing higher levels of autonomy and adaptive Human-Machine Interface and Interaction (HMI2) features. While technically possible, the transition to SPO requires an evolution of the current operational and pilot regulatory framework.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/34837119" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e35f93676148a592940d31e3a870f865" rel="nofollow" data-download="{"attachment_id":54695559,"asset_id":34837119,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/54695559/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9093041" rel="nofollow" href="https://khalifa.academia.edu/RobertoSabatini">Roberto Sabatini</a><script data-card-contents-for-user="9093041" type="text/json">{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-34837119">+1</span><div class="hidden js-additional-users-34837119"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://rmit.academia.edu/SubramanianRamasamy">Subramanian Ramasamy</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-34837119'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-34837119').html(); 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Recent advances in Communications, Navigation, Surveillance/Air Traffic Management and Avionics (CNS+A) technologies have allowed higher levels of automation, creating an opportunity for commercial airliners to transit to SPO. By leveraging CNS+A developments, the elevated workload of a single pilot can be mitigated through air-ground collaborative decision making in a number of ways: by expanding the role of ground operators; enhanced support in the strategic (flight planning), tactical (rerouting) and emergency (e.g., during pilot incapacitation) flight phases; as well as higher levels of decision support for the execution of complex tasks including separation assurance, collision avoidance, systems monitoring and landing. In the event of pilot incapacitation, on-board and ground CNS+A systems allow the aircraft to be operated as a Remotely Piloted Aircraft System (RPAS). Psychophysiological sensing and adaptive interfaces are introduced to enable the detection of pilot incapacitation while facilitating operations at higher levels of automation. The concept of a Virtual Pilot Assistant (VPA) system is presented as a possible technology solution introducing higher levels of autonomy and adaptive Human-Machine Interface and Interaction (HMI2) features. While technically possible, the transition to SPO requires an evolution of the current operational and pilot regulatory framework.","downloadable_attachments":[{"id":54695559,"asset_id":34837119,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"},{"id":25106050,"first_name":"Subramanian","last_name":"Ramasamy","domain_name":"rmit","page_name":"SubramanianRamasamy","display_name":"Subramanian Ramasamy","profile_url":"https://rmit.academia.edu/SubramanianRamasamy?f_ri=5656","photo":"https://0.academia-photos.com/25106050/9794378/10912904/s65_subramanian.ramasamy.jpg"}],"research_interests":[{"id":88,"name":"Aerospace 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Operations","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Aerospace_Operations?f_ri=5656"},{"id":14668,"name":"Aerospace","url":"https://www.academia.edu/Documents/in/Aerospace?f_ri=5656"},{"id":16478,"name":"Aircraft Design","url":"https://www.academia.edu/Documents/in/Aircraft_Design?f_ri=5656"},{"id":28413,"name":"Air Traffic Management","url":"https://www.academia.edu/Documents/in/Air_Traffic_Management?f_ri=5656"},{"id":44890,"name":"Unmanned Aerial Vehicles","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicles?f_ri=5656"},{"id":55293,"name":"Air traffic control","url":"https://www.academia.edu/Documents/in/Air_traffic_control?f_ri=5656"},{"id":62386,"name":"Avionics","url":"https://www.academia.edu/Documents/in/Avionics?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":133350,"name":"Avionics Engineering","url":"https://www.academia.edu/Documents/in/Avionics_Engineering?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":159894,"name":"Autonomous Systems","url":"https://www.academia.edu/Documents/in/Autonomous_Systems?f_ri=5656"},{"id":181995,"name":"Aeronautics","url":"https://www.academia.edu/Documents/in/Aeronautics?f_ri=5656"},{"id":189027,"name":"Unmanned Aerial Vehicle (UAV)","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicle_UAV_?f_ri=5656"},{"id":216281,"name":"Aeronautics and aerospace","url":"https://www.academia.edu/Documents/in/Aeronautics_and_aerospace?f_ri=5656"},{"id":238499,"name":"Aeronautics and Astronautics","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Astronautics?f_ri=5656"},{"id":569885,"name":"Aviation management","url":"https://www.academia.edu/Documents/in/Aviation_management?f_ri=5656"},{"id":614521,"name":"Engenharia 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u-linkUnstyled" data-container=".work_8572457" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Connecting the dots between discoveries in neuroscience (neuroplasticity), psychoneuroimmunology(the brain-immune loop) and user experience (gadget rub-off) indicate the nature of our time spent with gadgets is a vector in human health - mentally, socially and physically. The positive design of our interactions with devices therefore can have a positive impact on economy, civilization and society. Likewise, the absence of design that encourages positive interaction may encourage undesirable behaviors. Much like the architecture of physical spaces and buildings, the consequences of the architecture of the 21stcentury conversation between man and machine may last generations. AI and the Internet of Things are primary vectors for positive and negative impacts of technology.  We describe a growing body of co-discoveries occurring across a variety of disciplines that support the argument for human sciences in technology design.    The paper brings the rigors of science to bear on the humanities and makes the case for its relevance at this juncture in time to the design of technology involved in conversation and behaviors between humans and machines .</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/8572457" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="80ce1209e908be52d0af37c83da73703" rel="nofollow" data-download="{"attachment_id":34942877,"asset_id":8572457,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/34942877/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="12724274" href="https://montallen.academia.edu/cindymason">cindy mason</a><script data-card-contents-for-user="12724274" type="text/json">{"id":12724274,"first_name":"cindy","last_name":"mason","domain_name":"montallen","page_name":"cindymason","display_name":"cindy mason","profile_url":"https://montallen.academia.edu/cindymason?f_ri=5656","photo":"https://0.academia-photos.com/12724274/3627825/36513449/s65_cindy.mason.jpg"}</script></span></span></li><li class="js-paper-rank-work_8572457 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="8572457"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 8572457, container: ".js-paper-rank-work_8572457", }); 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The positive design of our interactions with devices therefore can have a positive impact on economy, civilization and society. Likewise, the absence of design that encourages positive interaction may encourage undesirable behaviors. Much like the architecture of physical spaces and buildings, the consequences of the architecture of the 21stcentury conversation between man and machine may last generations. AI and the Internet of Things are primary vectors for positive and negative impacts of technology. We describe a growing body of co-discoveries occurring across a variety of disciplines that support the argument for human sciences in technology design. The paper brings the rigors of science to bear on the humanities and makes the case for its relevance at this juncture in time to the design of technology involved in conversation and behaviors between humans and machines .","downloadable_attachments":[{"id":34942877,"asset_id":8572457,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":12724274,"first_name":"cindy","last_name":"mason","domain_name":"montallen","page_name":"cindymason","display_name":"cindy mason","profile_url":"https://montallen.academia.edu/cindymason?f_ri=5656","photo":"https://0.academia-photos.com/12724274/3627825/36513449/s65_cindy.mason.jpg"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=5656","nofollow":true},{"id":236,"name":"Cognitive Psychology","url":"https://www.academia.edu/Documents/in/Cognitive_Psychology?f_ri=5656","nofollow":true},{"id":237,"name":"Cognitive 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robots","url":"https://www.academia.edu/Documents/in/Humanoid_robots?f_ri=5656"},{"id":89919,"name":"Robots","url":"https://www.academia.edu/Documents/in/Robots?f_ri=5656"},{"id":102880,"name":"Wearable Technology","url":"https://www.academia.edu/Documents/in/Wearable_Technology?f_ri=5656"},{"id":106399,"name":"Compassion Fatigue","url":"https://www.academia.edu/Documents/in/Compassion_Fatigue?f_ri=5656"},{"id":133761,"name":"Psychoneuroendocrinology","url":"https://www.academia.edu/Documents/in/Psychoneuroendocrinology?f_ri=5656"},{"id":251903,"name":"Artificial Intelligence And Techniques","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence_And_Techniques?f_ri=5656"},{"id":259867,"name":"Medical Ethics, Bioethics, Philosophy of Medicine","url":"https://www.academia.edu/Documents/in/Medical_Ethics_Bioethics_Philosophy_of_Medicine?f_ri=5656"},{"id":306573,"name":"Neurocomputing","url":"https://www.academia.edu/Documents/in/Neurocomputing?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_36404479" data-work_id="36404479" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/36404479/A_Review_of_Situation_Awareness_Assessment_Approaches_in_Aviation_Environments">A Review of Situation Awareness Assessment Approaches in Aviation Environments</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Situation awareness (SA) is an important constituent in human information processing and essential in pilots' decision-making processes. Acquiring and maintaining appropriate levels of SA is critical in aviation environments as it affects... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_36404479" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Situation awareness (SA) is an important constituent in human information processing and essential in pilots' decision-making processes. Acquiring and maintaining appropriate levels of SA is critical in aviation environments as it affects all decisions and actions taking place in flights and air traffic control. This paper provides an overview of recent measurement models and approaches to establishing and enhancing SA in aviation environments. Many aspects of SA are examined including the classification of SA techniques into six categories, and different theoretical SA models from individual, to shared or team, and to distributed or system levels. Quantitative and qualitative perspectives pertaining to SA methods and issues of SA for unmanned vehicles are also addressed. Furthermore, future research directions regarding SA assessment approaches are raised to deal with shortcomings of the existing state-of-the-art methods in the literature.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/36404479" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5783c3ef2baef3b3a2cac573fd599518" rel="nofollow" data-download="{"attachment_id":59749568,"asset_id":36404479,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/59749568/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="75974097" href="https://monash.academia.edu/ThanhThiNguyen">Thanh Thi Nguyen</a><script data-card-contents-for-user="75974097" type="text/json">{"id":75974097,"first_name":"Thanh Thi","last_name":"Nguyen","domain_name":"monash","page_name":"ThanhThiNguyen","display_name":"Thanh Thi Nguyen","profile_url":"https://monash.academia.edu/ThanhThiNguyen?f_ri=5656","photo":"https://0.academia-photos.com/75974097/18971013/73084984/s65_thanh_thi.nguyen.png"}</script></span></span></li><li class="js-paper-rank-work_36404479 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="36404479"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 36404479, container: ".js-paper-rank-work_36404479", }); 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Acquiring and maintaining appropriate levels of SA is critical in aviation environments as it affects all decisions and actions taking place in flights and air traffic control. This paper provides an overview of recent measurement models and approaches to establishing and enhancing SA in aviation environments. Many aspects of SA are examined including the classification of SA techniques into six categories, and different theoretical SA models from individual, to shared or team, and to distributed or system levels. Quantitative and qualitative perspectives pertaining to SA methods and issues of SA for unmanned vehicles are also addressed. 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By considering a novel cognitive human–machine interface (HMI), configured via machine learning, we examined the requirements for such techniques to be deployed operationally in an ATM system, exploring aspects of vendor verification, regulatory certification, and end-user acceptance. We conclude that research into related fields such as explainable AI (XAI) and computer-aided verification needs to keep pace with applied AI research in order to close the research gaps that could inder operational deployment. Furthermore, we postulate that the increasing levels of automation and autonomy introduced by AI techniques will eventually subject ATM systems to certification requirements, and we propose a means by which ground-based ATM systems can be accommodated into the existing certification framework for aviation systems.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37571016" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d52f8d04dd20737b35831219d6bd20d7" rel="nofollow" data-download="{"attachment_id":57548495,"asset_id":37571016,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/57548495/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9093041" rel="nofollow" href="https://khalifa.academia.edu/RobertoSabatini">Roberto Sabatini</a><script data-card-contents-for-user="9093041" type="text/json">{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}</script></span></span></li><li class="js-paper-rank-work_37571016 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="37571016"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 37571016, container: ".js-paper-rank-work_37571016", }); 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$(".js-view-count[data-work-id=37571016]").text(description); $(".js-view-count-work_37571016").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_37571016").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="37571016"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="88" rel="nofollow" href="https://www.academia.edu/Documents/in/Aerospace_Engineering">Aerospace Engineering</a>, <script data-card-contents-for-ri="88" type="text/json">{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="465" rel="nofollow" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a>, <script data-card-contents-for-ri="465" type="text/json">{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1649" rel="nofollow" href="https://www.academia.edu/Documents/in/Ergonomics">Ergonomics</a>, <script data-card-contents-for-ri="1649" type="text/json">{"id":1649,"name":"Ergonomics","url":"https://www.academia.edu/Documents/in/Ergonomics?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2008" rel="nofollow" href="https://www.academia.edu/Documents/in/Machine_Learning">Machine Learning</a><script data-card-contents-for-ri="2008" type="text/json">{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=37571016]'), work: {"id":37571016,"title":"Machine Learning and Cognitive Ergonomics in Air Traffic Management: Recent Developments and Considerations for Certification","created_at":"2018-10-11T20:50:20.177-07:00","url":"https://www.academia.edu/37571016/Machine_Learning_and_Cognitive_Ergonomics_in_Air_Traffic_Management_Recent_Developments_and_Considerations_for_Certification?f_ri=5656","dom_id":"work_37571016","summary":"Resurgent interest in artificial intelligence (AI) techniques focused research attention\non their application in aviation systems including air traffic management (ATM), air traffic flow management (ATFM), and unmanned aerial systems traffic management (UTM). By considering a novel cognitive human–machine interface (HMI), configured via machine learning, we examined the requirements for such techniques to be deployed operationally in an ATM system, exploring aspects of vendor verification, regulatory certification, and end-user acceptance. We conclude that research into related fields such as explainable AI (XAI) and computer-aided verification needs to keep pace with applied AI research in order to close the research gaps that could inder operational deployment. Furthermore, we postulate that the increasing levels of automation and autonomy introduced by AI techniques will eventually subject ATM systems to certification requirements, and we propose a means by which ground-based ATM systems can be accommodated into the existing certification framework for aviation systems.","downloadable_attachments":[{"id":57548495,"asset_id":37571016,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}],"research_interests":[{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true},{"id":1649,"name":"Ergonomics","url":"https://www.academia.edu/Documents/in/Ergonomics?f_ri=5656","nofollow":true},{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=5656","nofollow":true},{"id":3762,"name":"Human Factors","url":"https://www.academia.edu/Documents/in/Human_Factors?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":9586,"name":"Unmanned Aircraft Systems","url":"https://www.academia.edu/Documents/in/Unmanned_Aircraft_Systems?f_ri=5656"},{"id":9589,"name":"Intelligent Transportation Systems","url":"https://www.academia.edu/Documents/in/Intelligent_Transportation_Systems?f_ri=5656"},{"id":10977,"name":"Intelligent Systems","url":"https://www.academia.edu/Documents/in/Intelligent_Systems?f_ri=5656"},{"id":12100,"name":"Aviation","url":"https://www.academia.edu/Documents/in/Aviation?f_ri=5656"},{"id":14303,"name":"Human Factors in Aviation","url":"https://www.academia.edu/Documents/in/Human_Factors_in_Aviation?f_ri=5656"},{"id":14668,"name":"Aerospace","url":"https://www.academia.edu/Documents/in/Aerospace?f_ri=5656"},{"id":25418,"name":"Human Factors Engineering","url":"https://www.academia.edu/Documents/in/Human_Factors_Engineering?f_ri=5656"},{"id":28413,"name":"Air Traffic Management","url":"https://www.academia.edu/Documents/in/Air_Traffic_Management?f_ri=5656"},{"id":44890,"name":"Unmanned Aerial Vehicles","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicles?f_ri=5656"},{"id":55293,"name":"Air traffic control","url":"https://www.academia.edu/Documents/in/Air_traffic_control?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":113211,"name":"Ergonomics \u0026 Human Factors","url":"https://www.academia.edu/Documents/in/Ergonomics_and_Human_Factors?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":189027,"name":"Unmanned Aerial Vehicle (UAV)","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicle_UAV_?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_34466076 coauthored" data-work_id="34466076" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/34466076/A_Virtual_Pilot_Assistant_System_for_Single_Pilot_Operations_of_Commercial_Transport_Aircraft">A Virtual Pilot Assistant System for Single Pilot Operations of Commercial Transport Aircraft</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper presents the conceptual design of a Virtual Pilot Assistant (VPA) for single-pilot operations of commercial transport aircraft. In particular, a thorough requirement analysis was performed by taking into account existing... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_34466076" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper presents the conceptual design of a Virtual Pilot Assistant (VPA) for single-pilot operations of commercial transport aircraft. In particular, a thorough requirement analysis was performed by taking into account existing literature on single pilot operations from general aviation and military standards. The analysis also considers relevant human factors engineering and system design aspects of conventional two-pilot aircraft and Remotely-Piloted Aircraft Systems (RPAS). The VPA performs a real-time assessment of the single-pilot's cognitive states and provides useful and timely alerts based on predictions on the performance levels of the pilot. In case of pilot incapacitation, the VPA enables the single-pilot aircraft to be operated as an RPAS, allowing ground operators to take over as necessary and make an emergency landing at a safe and suitable location.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/34466076" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="2bf8abfd3af591100df15373898a86de" rel="nofollow" data-download="{"attachment_id":54338615,"asset_id":34466076,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/54338615/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9093041" rel="nofollow" href="https://khalifa.academia.edu/RobertoSabatini">Roberto Sabatini</a><script data-card-contents-for-user="9093041" type="text/json">{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-34466076">+1</span><div class="hidden js-additional-users-34466076"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://rmit.academia.edu/SubramanianRamasamy">Subramanian Ramasamy</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-34466076'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-34466076').html(); 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container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_34466076 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="34466076"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34466076; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34466076]").text(description); $(".js-view-count-work_34466076").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_34466076").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="34466076"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">28</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="88" rel="nofollow" href="https://www.academia.edu/Documents/in/Aerospace_Engineering">Aerospace Engineering</a>, <script data-card-contents-for-ri="88" type="text/json">{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3641" rel="nofollow" href="https://www.academia.edu/Documents/in/Aeronautical_Engineering">Aeronautical Engineering</a>, <script data-card-contents-for-ri="3641" type="text/json">{"id":3641,"name":"Aeronautical Engineering","url":"https://www.academia.edu/Documents/in/Aeronautical_Engineering?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4882" rel="nofollow" href="https://www.academia.edu/Documents/in/Airworthiness_and_Aircraft_Accident_Investigation">Airworthiness and Aircraft Accident Investigation</a>, <script data-card-contents-for-ri="4882" type="text/json">{"id":4882,"name":"Airworthiness and Aircraft Accident Investigation","url":"https://www.academia.edu/Documents/in/Airworthiness_and_Aircraft_Accident_Investigation?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5656" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-machine_Systems">Human-machine Systems</a><script data-card-contents-for-ri="5656" type="text/json">{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=34466076]'), work: {"id":34466076,"title":"A Virtual Pilot Assistant System for Single Pilot Operations of Commercial Transport Aircraft","created_at":"2017-09-04T20:53:17.669-07:00","url":"https://www.academia.edu/34466076/A_Virtual_Pilot_Assistant_System_for_Single_Pilot_Operations_of_Commercial_Transport_Aircraft?f_ri=5656","dom_id":"work_34466076","summary":"This paper presents the conceptual design of a Virtual Pilot Assistant (VPA) for single-pilot operations of commercial transport aircraft. In particular, a thorough requirement analysis was performed by taking into account existing literature on single pilot operations from general aviation and military standards. The analysis also considers relevant human factors engineering and system design aspects of conventional two-pilot aircraft and Remotely-Piloted Aircraft Systems (RPAS). The VPA performs a real-time assessment of the single-pilot's cognitive states and provides useful and timely alerts based on predictions on the performance levels of the pilot. In case of pilot incapacitation, the VPA enables the single-pilot aircraft to be operated as an RPAS, allowing ground operators to take over as necessary and make an emergency landing at a safe and suitable location.","downloadable_attachments":[{"id":54338615,"asset_id":34466076,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"},{"id":25106050,"first_name":"Subramanian","last_name":"Ramasamy","domain_name":"rmit","page_name":"SubramanianRamasamy","display_name":"Subramanian Ramasamy","profile_url":"https://rmit.academia.edu/SubramanianRamasamy?f_ri=5656","photo":"https://0.academia-photos.com/25106050/9794378/10912904/s65_subramanian.ramasamy.jpg"}],"research_interests":[{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true},{"id":3641,"name":"Aeronautical Engineering","url":"https://www.academia.edu/Documents/in/Aeronautical_Engineering?f_ri=5656","nofollow":true},{"id":4882,"name":"Airworthiness and Aircraft Accident Investigation","url":"https://www.academia.edu/Documents/in/Airworthiness_and_Aircraft_Accident_Investigation?f_ri=5656","nofollow":true},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true},{"id":9586,"name":"Unmanned Aircraft Systems","url":"https://www.academia.edu/Documents/in/Unmanned_Aircraft_Systems?f_ri=5656"},{"id":12059,"name":"Human-Robot Interaction","url":"https://www.academia.edu/Documents/in/Human-Robot_Interaction?f_ri=5656"},{"id":12100,"name":"Aviation","url":"https://www.academia.edu/Documents/in/Aviation?f_ri=5656"},{"id":12105,"name":"Aeronautics and Aerospace Operations","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Aerospace_Operations?f_ri=5656"},{"id":14668,"name":"Aerospace","url":"https://www.academia.edu/Documents/in/Aerospace?f_ri=5656"},{"id":16478,"name":"Aircraft Design","url":"https://www.academia.edu/Documents/in/Aircraft_Design?f_ri=5656"},{"id":44890,"name":"Unmanned Aerial Vehicles","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicles?f_ri=5656"},{"id":45039,"name":"Aerospace Engineering and Control System Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering_and_Control_System_Engineering?f_ri=5656"},{"id":62386,"name":"Avionics","url":"https://www.academia.edu/Documents/in/Avionics?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":133350,"name":"Avionics Engineering","url":"https://www.academia.edu/Documents/in/Avionics_Engineering?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":181995,"name":"Aeronautics","url":"https://www.academia.edu/Documents/in/Aeronautics?f_ri=5656"},{"id":189027,"name":"Unmanned Aerial Vehicle (UAV)","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicle_UAV_?f_ri=5656"},{"id":216281,"name":"Aeronautics and aerospace","url":"https://www.academia.edu/Documents/in/Aeronautics_and_aerospace?f_ri=5656"},{"id":216376,"name":"HMI","url":"https://www.academia.edu/Documents/in/HMI?f_ri=5656"},{"id":238499,"name":"Aeronautics and Astronautics","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Astronautics?f_ri=5656"},{"id":271648,"name":"Aeronautical","url":"https://www.academia.edu/Documents/in/Aeronautical?f_ri=5656"},{"id":413661,"name":"Vehicle HMI Design","url":"https://www.academia.edu/Documents/in/Vehicle_HMI_Design?f_ri=5656"},{"id":461750,"name":"Aircraft","url":"https://www.academia.edu/Documents/in/Aircraft?f_ri=5656"},{"id":614521,"name":"Engenharia Aeroespacial","url":"https://www.academia.edu/Documents/in/Engenharia_Aeroespacial?f_ri=5656"},{"id":627051,"name":"Aicraft Design","url":"https://www.academia.edu/Documents/in/Aicraft_Design?f_ri=5656"},{"id":729454,"name":"Avionics Navigation Systems","url":"https://www.academia.edu/Documents/in/Avionics_Navigation_Systems?f_ri=5656"},{"id":1851077,"name":"Aircraft Instrument","url":"https://www.academia.edu/Documents/in/Aircraft_Instrument?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_40103328 coauthored" data-work_id="40103328" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/40103328/Sensor_Networks_for_Aerospace_Human_Machine_Systems">Sensor Networks for Aerospace Human-Machine Systems</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Intelligent automation and trusted autonomy are being introduced in aerospace cyber-physical systems to support diverse tasks including data processing, decision-making, information sharing and mission execution. Due to the increasing... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_40103328" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Intelligent automation and trusted autonomy are being introduced in aerospace cyber-physical systems to support diverse tasks including data processing, decision-making, information sharing and mission execution. Due to the increasing level of integration/collaboration between humans and automation in these tasks, the operational performance of closed-loop human-machine systems can be enhanced when the machine monitors the operator’s cognitive states and adapts to them in order to maximise the effectiveness of the Human-Machine Interfaces and Interactions (HMI2). Technological developments have led to neurophysiological observations becoming a reliable methodology to evaluate the human operator’s states using a variety of wearable and remote sensors. The adoption of sensor networks can be seen as an evolution of this approach, as there are notable advantages if these sensors collect and exchange data in real-time, while their operation is controlled remotely and synchronised. This paper discusses recent advances in sensor networks for aerospace cyber-physical systems, focusing on Cognitive HMI2 (CHMI2) implementations. The key neurophysiological measurements used in this context and their relationship with the operator’s cognitive states are discussed. Suitable data analysis techniques based on machine learning and statistical inference are also presented, as these techniques allow processing both neurophysiological and operational data to obtain accurate cognitive state estimations. Lastly, to support the development of sensor networks for CHMI2 applications, the paper addresses the performance characterisation of various state-of-the-art sensors and the propagation of measurement uncertainties through a machine learning-based inference engine. Results show that a proper sensor selection and integration can support the implementation of effective human-machine systems for various challenging aerospace applications, including Air Traffic Management (ATM), commercial airliner Single-Pilot Operations (SIPO), one-to-many Unmanned Aircraft Systems (UAS), and space operations management.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/40103328" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5731ea8afd4c3ead9a7a87ff21f91fce" rel="nofollow" data-download="{"attachment_id":60314021,"asset_id":40103328,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/60314021/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9093041" rel="nofollow" href="https://khalifa.academia.edu/RobertoSabatini">Roberto Sabatini</a><script data-card-contents-for-user="9093041" type="text/json">{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-40103328">+1</span><div class="hidden js-additional-users-40103328"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://rmit.academia.edu/LarsPlanke">Lars Planke</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-40103328'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-40103328').html(); 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Due to the increasing level of integration/collaboration between humans and automation in these tasks, the operational performance of closed-loop human-machine systems can be enhanced when the machine monitors the operator’s cognitive states and adapts to them in order to maximise the effectiveness of the Human-Machine Interfaces and Interactions (HMI2). Technological developments have led to neurophysiological observations becoming a reliable methodology to evaluate the human operator’s states using a variety of wearable and remote sensors. The adoption of sensor networks can be seen as an evolution of this approach, as there are notable advantages if these sensors collect and exchange data in real-time, while their operation is controlled remotely and synchronised. This paper discusses recent advances in sensor networks for aerospace cyber-physical systems, focusing on Cognitive HMI2 (CHMI2) implementations. The key neurophysiological measurements used in this context and their relationship with the operator’s cognitive states are discussed. Suitable data analysis techniques based on machine learning and statistical inference are also presented, as these techniques allow processing both neurophysiological and operational data to obtain accurate cognitive state estimations. Lastly, to support the development of sensor networks for CHMI2 applications, the paper addresses the performance characterisation of various state-of-the-art sensors and the propagation of measurement uncertainties through a machine learning-based inference engine. Results show that a proper sensor selection and integration can support the implementation of effective human-machine systems for various challenging aerospace applications, including Air Traffic Management (ATM), commercial airliner Single-Pilot Operations (SIPO), one-to-many Unmanned Aircraft Systems (UAS), and space operations management.","downloadable_attachments":[{"id":60314021,"asset_id":40103328,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"},{"id":107043191,"first_name":"Lars","last_name":"Planke","domain_name":"rmit","page_name":"LarsPlanke","display_name":"Lars Planke","profile_url":"https://rmit.academia.edu/LarsPlanke?f_ri=5656","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true},{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience?f_ri=5656","nofollow":true},{"id":700,"name":"Space Sciences","url":"https://www.academia.edu/Documents/in/Space_Sciences?f_ri=5656","nofollow":true},{"id":1526,"name":"Sensors and Sensing","url":"https://www.academia.edu/Documents/in/Sensors_and_Sensing?f_ri=5656","nofollow":true},{"id":3762,"name":"Human Factors","url":"https://www.academia.edu/Documents/in/Human_Factors?f_ri=5656"},{"id":4735,"name":"Sensor","url":"https://www.academia.edu/Documents/in/Sensor?f_ri=5656"},{"id":5476,"name":"Cyber-Physical Systems","url":"https://www.academia.edu/Documents/in/Cyber-Physical_Systems?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":9586,"name":"Unmanned Aircraft Systems","url":"https://www.academia.edu/Documents/in/Unmanned_Aircraft_Systems?f_ri=5656"},{"id":12100,"name":"Aviation","url":"https://www.academia.edu/Documents/in/Aviation?f_ri=5656"},{"id":14668,"name":"Aerospace","url":"https://www.academia.edu/Documents/in/Aerospace?f_ri=5656"},{"id":62386,"name":"Avionics","url":"https://www.academia.edu/Documents/in/Avionics?f_ri=5656"},{"id":65430,"name":"Cyber Physical Systems","url":"https://www.academia.edu/Documents/in/Cyber_Physical_Systems?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":80473,"name":"Sensor networks","url":"https://www.academia.edu/Documents/in/Sensor_networks?f_ri=5656"},{"id":133350,"name":"Avionics Engineering","url":"https://www.academia.edu/Documents/in/Avionics_Engineering?f_ri=5656"},{"id":159894,"name":"Autonomous Systems","url":"https://www.academia.edu/Documents/in/Autonomous_Systems?f_ri=5656"},{"id":181995,"name":"Aeronautics","url":"https://www.academia.edu/Documents/in/Aeronautics?f_ri=5656"},{"id":189027,"name":"Unmanned Aerial Vehicle (UAV)","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicle_UAV_?f_ri=5656"},{"id":238499,"name":"Aeronautics and Astronautics","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Astronautics?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_37853972" data-work_id="37853972" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/37853972/Solovyeva_Anzhelika_and_Hynek_Nik_2018_Going_Beyond_the_Killer_Robots_Debate_Six_Dilemmas_Autonomous_Weapons_Systems_Raise_Central_European_Journal_of_International_and_Security_Studies_Vo_11_No_3_pp_166_208_ISSN_1802_548x">Solovyeva, Anzhelika and Hynek, Nik (2018): “Going Beyond the ‘Killer Robots’ Debate: Six Dilemmas Autonomous Weapons Systems Raise”. Central European Journal of International and Security Studies, Vo. 11, No. 3, pp. 166-208 ISSN 1802-548x.</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The debate on and around “killer robots” has been firmly established at the crossroads of ethical, legal, political, strategic, and scientific discourses. Flourishing at the two opposite poles, with a few contributors caught in the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_37853972" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The debate on and around “killer robots” has been firmly established<br />at the crossroads of ethical, legal, political, strategic, and scientific discourses.<br />Flourishing at the two opposite poles, with a few contributors<br />caught in the middle, the polemic still falls short of a detailed, balanced,<br />and systematic analysis. It is for these reasons that we focus on<br />the nitty-gritties, multiple pros and cons, and implications of autonomous<br />weapon systems (AWS) for the prospects of the international<br />order. Moreover, a nuanced discussion needs to feature the considerations<br />of their technological continuity vs. novelty. The analysis begins<br />with properly delimiting the AWS category as fully autonomous<br />(lethal) weapon systems, capable of operating without human control<br />or supervision, including in dynamic and unstructured environments,<br />and capable of engaging in independent (lethal) decision-making,<br />targeting, and firing, including in an offensive manner. As its primary<br />goal, the article aims to move the existing debate to the level of a<br />first-order structure and offers its comprehensive operationalisation.<br />We propose an original framework based on a thorough analysis of<br />six specific dilemmas, and detailing the pro/con argument for each of<br />those: (1) (un)predictability of AWS performance; (2) dehumanization<br />of lethal decision-making; (3) depersonalisation of enemy (non-)combatant;<br />(4) human-machine nexus in coordinated operations; (5) strategic considerations; (6) AWS operation in law(less) zone. What follows are concluding remarks.<br /><br />Keywords: autonomous weapon systems, killer robots, lethal decisionmaking,<br />military ethics, artificial intelligence, security regulation,<br />humanitarian law, revolution in military affairs, military strategy</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37853972" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="28dd8eca662f9308a346e79472456876" rel="nofollow" data-download="{"attachment_id":57858485,"asset_id":37853972,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/57858485/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1596630" href="https://seznam.academia.edu/NikHynek">Nik Hynek</a><script data-card-contents-for-user="1596630" type="text/json">{"id":1596630,"first_name":"Nik","last_name":"Hynek","domain_name":"seznam","page_name":"NikHynek","display_name":"Nik Hynek","profile_url":"https://seznam.academia.edu/NikHynek?f_ri=5656","photo":"https://0.academia-photos.com/1596630/558942/20785654/s65_nik.hynek.jpg"}</script></span></span></li><li class="js-paper-rank-work_37853972 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="37853972"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 37853972, container: ".js-paper-rank-work_37853972", }); 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Central European Journal of International and Security Studies, Vo. 11, No. 3, pp. 166-208 ISSN 1802-548x.","created_at":"2018-11-26T08:37:07.462-08:00","url":"https://www.academia.edu/37853972/Solovyeva_Anzhelika_and_Hynek_Nik_2018_Going_Beyond_the_Killer_Robots_Debate_Six_Dilemmas_Autonomous_Weapons_Systems_Raise_Central_European_Journal_of_International_and_Security_Studies_Vo_11_No_3_pp_166_208_ISSN_1802_548x?f_ri=5656","dom_id":"work_37853972","summary":"The debate on and around “killer robots” has been firmly established\nat the crossroads of ethical, legal, political, strategic, and scientific discourses.\nFlourishing at the two opposite poles, with a few contributors\ncaught in the middle, the polemic still falls short of a detailed, balanced,\nand systematic analysis. It is for these reasons that we focus on\nthe nitty-gritties, multiple pros and cons, and implications of autonomous\nweapon systems (AWS) for the prospects of the international\norder. Moreover, a nuanced discussion needs to feature the considerations\nof their technological continuity vs. novelty. The analysis begins\nwith properly delimiting the AWS category as fully autonomous\n(lethal) weapon systems, capable of operating without human control\nor supervision, including in dynamic and unstructured environments,\nand capable of engaging in independent (lethal) decision-making,\ntargeting, and firing, including in an offensive manner. As its primary\ngoal, the article aims to move the existing debate to the level of a\nfirst-order structure and offers its comprehensive operationalisation.\nWe propose an original framework based on a thorough analysis of\nsix specific dilemmas, and detailing the pro/con argument for each of\nthose: (1) (un)predictability of AWS performance; (2) dehumanization\nof lethal decision-making; (3) depersonalisation of enemy (non-)combatant;\n(4) human-machine nexus in coordinated operations; (5) strategic considerations; (6) AWS operation in law(less) zone. What follows are concluding remarks.\n\nKeywords: autonomous weapon systems, killer robots, lethal decisionmaking,\nmilitary ethics, artificial intelligence, security regulation,\nhumanitarian law, revolution in military affairs, military strategy","downloadable_attachments":[{"id":57858485,"asset_id":37853972,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1596630,"first_name":"Nik","last_name":"Hynek","domain_name":"seznam","page_name":"NikHynek","display_name":"Nik Hynek","profile_url":"https://seznam.academia.edu/NikHynek?f_ri=5656","photo":"https://0.academia-photos.com/1596630/558942/20785654/s65_nik.hynek.jpg"}],"research_interests":[{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true},{"id":3705,"name":"International Security","url":"https://www.academia.edu/Documents/in/International_Security?f_ri=5656","nofollow":true},{"id":3873,"name":"Strategic Studies","url":"https://www.academia.edu/Documents/in/Strategic_Studies?f_ri=5656","nofollow":true},{"id":4892,"name":"Autonomous Robotics","url":"https://www.academia.edu/Documents/in/Autonomous_Robotics?f_ri=5656","nofollow":true},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":184185,"name":"Arms Control and Disarmament","url":"https://www.academia.edu/Documents/in/Arms_Control_and_Disarmament?f_ri=5656"},{"id":458790,"name":"International Security and Strategic affairs","url":"https://www.academia.edu/Documents/in/International_Security_and_Strategic_affairs?f_ri=5656"},{"id":917904,"name":"Lethal Autonomous Weapons","url":"https://www.academia.edu/Documents/in/Lethal_Autonomous_Weapons?f_ri=5656"},{"id":1892445,"name":"Autonomous Weapons Systems","url":"https://www.academia.edu/Documents/in/Autonomous_Weapons_Systems?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_37805493 coauthored" data-work_id="37805493" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/37805493/Human_Machine_Interfaces_and_Interactions_for_Multi_UAS_Operations">Human-Machine Interfaces and Interactions for Multi UAS Operations</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Unmanned Aircraft Systems (UAS) offer many opportunities in a wide range of industries to support remote sensing and surveillance. While platform autonomy and intelligence have seen large advances in recent decades, a key challenge is the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_37805493" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Unmanned Aircraft Systems (UAS) offer many opportunities in a wide range of industries to support remote sensing and surveillance. While platform autonomy and intelligence have seen large advances in recent decades, a key challenge is the operation of multiple Unmanned Aerial Vehicles (UAV) by a single operator in 'one-to-many' operations. To support one-to-many operations, higher levels of human-autonomy teaming are required, where human operators collaborate with autonomous agents through the use of adaptive Human-Machine Interfaces and Interactions (HMI2). In this paper, the one-to-many concept is applied to a bushfire-fighting scenario. The paper presents the UAV avionics systems design along with the Ground Control Station (GCS) design, which features a number of emerging HMI2 concepts.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37805493" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="39ff98de85a767063a5553cf73968913" rel="nofollow" data-download="{"attachment_id":57803999,"asset_id":37805493,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/57803999/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9093041" rel="nofollow" href="https://khalifa.academia.edu/RobertoSabatini">Roberto Sabatini</a><script data-card-contents-for-user="9093041" type="text/json">{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-37805493">+1</span><div class="hidden js-additional-users-37805493"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://khalifa.academia.edu/AlessandroGardi">Alessandro Gardi</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-37805493'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-37805493').html(); 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While platform autonomy and intelligence have seen large advances in recent decades, a key challenge is the operation of multiple Unmanned Aerial Vehicles (UAV) by a single operator in 'one-to-many' operations. To support one-to-many operations, higher levels of human-autonomy teaming are required, where human operators collaborate with autonomous agents through the use of adaptive Human-Machine Interfaces and Interactions (HMI2). In this paper, the one-to-many concept is applied to a bushfire-fighting scenario. The paper presents the UAV avionics systems design along with the Ground Control Station (GCS) design, which features a number of emerging HMI2 concepts.","downloadable_attachments":[{"id":57803999,"asset_id":37805493,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"},{"id":32392907,"first_name":"Alessandro","last_name":"Gardi","domain_name":"khalifa","page_name":"AlessandroGardi","display_name":"Alessandro Gardi","profile_url":"https://khalifa.academia.edu/AlessandroGardi?f_ri=5656","photo":"https://0.academia-photos.com/32392907/40923811/33345526/s65_alessandro.gardi.jpg"}],"research_interests":[{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true},{"id":1649,"name":"Ergonomics","url":"https://www.academia.edu/Documents/in/Ergonomics?f_ri=5656","nofollow":true},{"id":3641,"name":"Aeronautical Engineering","url":"https://www.academia.edu/Documents/in/Aeronautical_Engineering?f_ri=5656","nofollow":true},{"id":5476,"name":"Cyber-Physical Systems","url":"https://www.academia.edu/Documents/in/Cyber-Physical_Systems?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":9586,"name":"Unmanned Aircraft Systems","url":"https://www.academia.edu/Documents/in/Unmanned_Aircraft_Systems?f_ri=5656"},{"id":12100,"name":"Aviation","url":"https://www.academia.edu/Documents/in/Aviation?f_ri=5656"},{"id":12105,"name":"Aeronautics and Aerospace Operations","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Aerospace_Operations?f_ri=5656"},{"id":14668,"name":"Aerospace","url":"https://www.academia.edu/Documents/in/Aerospace?f_ri=5656"},{"id":16478,"name":"Aircraft Design","url":"https://www.academia.edu/Documents/in/Aircraft_Design?f_ri=5656"},{"id":44890,"name":"Unmanned Aerial Vehicles","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicles?f_ri=5656"},{"id":62386,"name":"Avionics","url":"https://www.academia.edu/Documents/in/Avionics?f_ri=5656"},{"id":65430,"name":"Cyber Physical Systems","url":"https://www.academia.edu/Documents/in/Cyber_Physical_Systems?f_ri=5656"},{"id":181995,"name":"Aeronautics","url":"https://www.academia.edu/Documents/in/Aeronautics?f_ri=5656"},{"id":189027,"name":"Unmanned Aerial Vehicle (UAV)","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicle_UAV_?f_ri=5656"},{"id":238499,"name":"Aeronautics and Astronautics","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Astronautics?f_ri=5656"},{"id":271648,"name":"Aeronautical","url":"https://www.academia.edu/Documents/in/Aeronautical?f_ri=5656"},{"id":614521,"name":"Engenharia Aeroespacial","url":"https://www.academia.edu/Documents/in/Engenharia_Aeroespacial?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_4567909" data-work_id="4567909" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/4567909/Das_neue_Fleisch_Der_groteske_K%C3%B6rper_im_Kino_David_Cronenbergs">Das neue Fleisch: Der groteske Körper im Kino David Cronenbergs</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Die Idee des »neuen Fleischs« durchkreuzt herkömmliche Grenzziehungen, welche die Domänen Natur und Technik klar voneinander unterscheiden. Was sagen uns die gleichermaßen verstörenden wieverführerischen Körperbilder in den Filmen David... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_4567909" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Die Idee des »neuen Fleischs« durchkreuzt herkömmliche Grenzziehungen, welche die Domänen Natur und Technik klar voneinander unterscheiden. Was sagen uns die gleichermaßen verstörenden wieverführerischen Körperbilder in den Filmen David Cronenbergs über die Bewertung vonKulturtechnologien?Bettina Papenburg fokussiert in diesem Buch auf den grotesken Körperund eröffnet darüber einen frischen Blick auf Cronenbergs geladeneVisualisierungen von Körpermetaphern. Im Mittelpunkt der close readingsausgewählter Sequenzen aus den Filmen »The Brood«, »Crimes of theFuture«, »Videodrome«, »eXistenZ« und »Crash« stehen Darstellungen vonFragmentierung, Heterogenität und Exzess, sowie von Unschärfen undÜbergängen innerhalb unseres Kategoriensystems.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/4567909" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b417b8910e7de6ac5b327ce4c9f8e00c" rel="nofollow" data-download="{"attachment_id":46045712,"asset_id":4567909,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/46045712/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="5718522" href="https://fu-berlin.academia.edu/BettinaPapenburg">Bettina Papenburg</a><script data-card-contents-for-user="5718522" type="text/json">{"id":5718522,"first_name":"Bettina","last_name":"Papenburg","domain_name":"fu-berlin","page_name":"BettinaPapenburg","display_name":"Bettina Papenburg","profile_url":"https://fu-berlin.academia.edu/BettinaPapenburg?f_ri=5656","photo":"https://0.academia-photos.com/5718522/2477143/2877800/s65_bettina.papenburg.jpg"}</script></span></span></li><li class="js-paper-rank-work_4567909 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="4567909"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 4567909, container: ".js-paper-rank-work_4567909", }); 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$(".js-view-count[data-work-id=4567909]").text(description); $(".js-view-count-work_4567909").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_4567909").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="4567909"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">34</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="1032" rel="nofollow" href="https://www.academia.edu/Documents/in/Cyborg_Theory">Cyborg Theory</a>, <script data-card-contents-for-ri="1032" type="text/json">{"id":1032,"name":"Cyborg Theory","url":"https://www.academia.edu/Documents/in/Cyborg_Theory?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1568" rel="nofollow" href="https://www.academia.edu/Documents/in/Film_Theory">Film Theory</a>, <script data-card-contents-for-ri="1568" type="text/json">{"id":1568,"name":"Film Theory","url":"https://www.academia.edu/Documents/in/Film_Theory?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3142" rel="nofollow" href="https://www.academia.edu/Documents/in/Synaesthesia">Synaesthesia</a>, <script data-card-contents-for-ri="3142" type="text/json">{"id":3142,"name":"Synaesthesia","url":"https://www.academia.edu/Documents/in/Synaesthesia?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3301" rel="nofollow" href="https://www.academia.edu/Documents/in/Film_Analysis">Film Analysis</a><script data-card-contents-for-ri="3301" type="text/json">{"id":3301,"name":"Film Analysis","url":"https://www.academia.edu/Documents/in/Film_Analysis?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=4567909]'), work: {"id":4567909,"title":"Das neue Fleisch: Der groteske Körper im Kino David Cronenbergs","created_at":"2013-09-23T20:58:26.908-07:00","url":"https://www.academia.edu/4567909/Das_neue_Fleisch_Der_groteske_K%C3%B6rper_im_Kino_David_Cronenbergs?f_ri=5656","dom_id":"work_4567909","summary":"Die Idee des »neuen Fleischs« durchkreuzt herkömmliche Grenzziehungen, welche die Domänen Natur und Technik klar voneinander unterscheiden. Was sagen uns die gleichermaßen verstörenden wieverführerischen Körperbilder in den Filmen David Cronenbergs über die Bewertung vonKulturtechnologien?Bettina Papenburg fokussiert in diesem Buch auf den grotesken Körperund eröffnet darüber einen frischen Blick auf Cronenbergs geladeneVisualisierungen von Körpermetaphern. Im Mittelpunkt der close readingsausgewählter Sequenzen aus den Filmen »The Brood«, »Crimes of theFuture«, »Videodrome«, »eXistenZ« und »Crash« stehen Darstellungen vonFragmentierung, Heterogenität und Exzess, sowie von Unschärfen undÜbergängen innerhalb unseres Kategoriensystems.","downloadable_attachments":[{"id":46045712,"asset_id":4567909,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":5718522,"first_name":"Bettina","last_name":"Papenburg","domain_name":"fu-berlin","page_name":"BettinaPapenburg","display_name":"Bettina Papenburg","profile_url":"https://fu-berlin.academia.edu/BettinaPapenburg?f_ri=5656","photo":"https://0.academia-photos.com/5718522/2477143/2877800/s65_bettina.papenburg.jpg"}],"research_interests":[{"id":1032,"name":"Cyborg Theory","url":"https://www.academia.edu/Documents/in/Cyborg_Theory?f_ri=5656","nofollow":true},{"id":1568,"name":"Film Theory","url":"https://www.academia.edu/Documents/in/Film_Theory?f_ri=5656","nofollow":true},{"id":3142,"name":"Synaesthesia","url":"https://www.academia.edu/Documents/in/Synaesthesia?f_ri=5656","nofollow":true},{"id":3301,"name":"Film Analysis","url":"https://www.academia.edu/Documents/in/Film_Analysis?f_ri=5656","nofollow":true},{"id":3657,"name":"Anthropology of the Body","url":"https://www.academia.edu/Documents/in/Anthropology_of_the_Body?f_ri=5656"},{"id":4162,"name":"Bricolage","url":"https://www.academia.edu/Documents/in/Bricolage?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":7216,"name":"The Body","url":"https://www.academia.edu/Documents/in/The_Body?f_ri=5656"},{"id":7220,"name":"The Grotesque Body","url":"https://www.academia.edu/Documents/in/The_Grotesque_Body?f_ri=5656"},{"id":8694,"name":"Science Fiction","url":"https://www.academia.edu/Documents/in/Science_Fiction?f_ri=5656"},{"id":9539,"name":"Materialism","url":"https://www.academia.edu/Documents/in/Materialism?f_ri=5656"},{"id":11100,"name":"Science Fiction Film","url":"https://www.academia.edu/Documents/in/Science_Fiction_Film?f_ri=5656"},{"id":11712,"name":"Metaphor","url":"https://www.academia.edu/Documents/in/Metaphor?f_ri=5656"},{"id":12679,"name":"Eroticism","url":"https://www.academia.edu/Documents/in/Eroticism?f_ri=5656"},{"id":14157,"name":"The Carnivalesque","url":"https://www.academia.edu/Documents/in/The_Carnivalesque?f_ri=5656"},{"id":15482,"name":"Structuralism/Post-Structuralism","url":"https://www.academia.edu/Documents/in/Structuralism_Post-Structuralism?f_ri=5656"},{"id":20624,"name":"Dystopian Fiction","url":"https://www.academia.edu/Documents/in/Dystopian_Fiction?f_ri=5656"},{"id":27903,"name":"Affect (Cultural Theory)","url":"https://www.academia.edu/Documents/in/Affect_Cultural_Theory_?f_ri=5656"},{"id":29128,"name":"Cybercultures","url":"https://www.academia.edu/Documents/in/Cybercultures?f_ri=5656"},{"id":31688,"name":"Rabelais","url":"https://www.academia.edu/Documents/in/Rabelais?f_ri=5656"},{"id":42298,"name":"Film and Media Studies","url":"https://www.academia.edu/Documents/in/Film_and_Media_Studies?f_ri=5656"},{"id":45647,"name":"David Cronenberg","url":"https://www.academia.edu/Documents/in/David_Cronenberg?f_ri=5656"},{"id":49650,"name":"Male body image","url":"https://www.academia.edu/Documents/in/Male_body_image?f_ri=5656"},{"id":52095,"name":"Bakhtin carnival and the grotesque body","url":"https://www.academia.edu/Documents/in/Bakhtin_carnival_and_the_grotesque_body?f_ri=5656"},{"id":60599,"name":"Disgust","url":"https://www.academia.edu/Documents/in/Disgust?f_ri=5656"},{"id":81588,"name":"Science Fiction Studies","url":"https://www.academia.edu/Documents/in/Science_Fiction_Studies?f_ri=5656"},{"id":111356,"name":"Carnival","url":"https://www.academia.edu/Documents/in/Carnival?f_ri=5656"},{"id":168614,"name":"Cyborgs","url":"https://www.academia.edu/Documents/in/Cyborgs?f_ri=5656"},{"id":310308,"name":"The Senses","url":"https://www.academia.edu/Documents/in/The_Senses?f_ri=5656"},{"id":354782,"name":"Monsters and the Monstrous","url":"https://www.academia.edu/Documents/in/Monsters_and_the_Monstrous?f_ri=5656"},{"id":408670,"name":"Female Monstrosity","url":"https://www.academia.edu/Documents/in/Female_Monstrosity?f_ri=5656"},{"id":447352,"name":"Carnival and Culture","url":"https://www.academia.edu/Documents/in/Carnival_and_Culture?f_ri=5656"},{"id":592917,"name":"Female body","url":"https://www.academia.edu/Documents/in/Female_body?f_ri=5656"},{"id":959336,"name":"Technoscience and Culture","url":"https://www.academia.edu/Documents/in/Technoscience_and_Culture?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_7132974" data-work_id="7132974" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/7132974/Voice_Activated_Home_Automation_System">Voice Activated Home Automation System</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In recent years, Home Automation systems have seen rapid changes due to the introduction of various wireless technologies. Zigbee is targeted at applications that require low data rate, long battery life, and... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_7132974" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In  recent  years,  Home  Automation  systems  have seen rapid  changes  due  to  the  introduction of various  wireless technologies.  Zigbee is targeted  at  applications  that  require low data  rate,  long  battery  life,  and  secure  networking  and  has a  maximum  rate  of  250  kbits/s,  well  suited  for  periodic  or intermittent data  or  a single signal  transmission from  a sensor or input  device. This paper  discusses the design of a system that allows the user to interact  with it via his or her  voice in natural language  and  maps  user  utterances to  predefined  instructions, including  the  switching  of a  light  or  electrical  appliance.  The system is intended  to control  all lights and  electrical  appliances in a home or office using natural language. Having a comfortable learning  curve and being hands free by design, the system intends to make  home control  easier  and  more  convenient.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/7132974" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b34f1b318c1ca76013f2271cc01f0562" rel="nofollow" data-download="{"attachment_id":33771065,"asset_id":7132974,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/33771065/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="5570475" href="https://asdf.academia.edu/AdminASDF">Admin ASDF</a><script data-card-contents-for-user="5570475" type="text/json">{"id":5570475,"first_name":"Admin","last_name":"ASDF","domain_name":"asdf","page_name":"AdminASDF","display_name":"Admin ASDF","profile_url":"https://asdf.academia.edu/AdminASDF?f_ri=5656","photo":"https://0.academia-photos.com/5570475/2464622/3284981/s65_admin.asdf.jpg"}</script></span></span></li><li class="js-paper-rank-work_7132974 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="7132974"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 7132974, container: ".js-paper-rank-work_7132974", }); 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$(".js-view-count[data-work-id=7132974]").text(description); $(".js-view-count-work_7132974").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_7132974").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="7132974"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="5656" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-machine_Systems">Human-machine Systems</a>, <script data-card-contents-for-ri="5656" type="text/json">{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="66003" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-Machine_Interaction">Human-Machine Interaction</a>, <script data-card-contents-for-ri="66003" type="text/json">{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="777452" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_machine">Human machine</a><script data-card-contents-for-ri="777452" type="text/json">{"id":777452,"name":"Human machine","url":"https://www.academia.edu/Documents/in/Human_machine?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=7132974]'), work: {"id":7132974,"title":"Voice Activated Home Automation System","created_at":"2014-05-22T22:24:19.596-07:00","url":"https://www.academia.edu/7132974/Voice_Activated_Home_Automation_System?f_ri=5656","dom_id":"work_7132974","summary":"In recent years, Home Automation systems have seen rapid changes due to the introduction of various wireless technologies. Zigbee is targeted at applications that require low data rate, long battery life, and secure networking and has a maximum rate of 250 kbits/s, well suited for periodic or intermittent data or a single signal transmission from a sensor or input device. This paper discusses the design of a system that allows the user to interact with it via his or her voice in natural language and maps user utterances to predefined instructions, including the switching of a light or electrical appliance. The system is intended to control all lights and electrical appliances in a home or office using natural language. Having a comfortable learning curve and being hands free by design, the system intends to make home control easier and more convenient.","downloadable_attachments":[{"id":33771065,"asset_id":7132974,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":5570475,"first_name":"Admin","last_name":"ASDF","domain_name":"asdf","page_name":"AdminASDF","display_name":"Admin ASDF","profile_url":"https://asdf.academia.edu/AdminASDF?f_ri=5656","photo":"https://0.academia-photos.com/5570475/2464622/3284981/s65_admin.asdf.jpg"}],"research_interests":[{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656","nofollow":true},{"id":777452,"name":"Human machine","url":"https://www.academia.edu/Documents/in/Human_machine?f_ri=5656","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_40805816" data-work_id="40805816" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/40805816/Optimal_energy_based_4D_guidance_and_control_for_terminal_descent_operations">Optimal energy-based 4D guidance and control for terminal descent operations</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper presents an energy-optimal guidance and control strategy for 4-dimensional (4D) Trajectory-Based Operations (TBO) in the descent phase, supporting the development of 4D Human-Machine Interface (HMI) formats. The vertical... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_40805816" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper presents an energy-optimal guidance and control strategy for 4-dimensional (4D) Trajectory-Based Operations (TBO) in the descent phase, supporting the development of 4D Human-Machine Interface (HMI) formats. The vertical guidance strategy uses multi-phase optimal control techniques based on point-mass aircraft dynamics to determine an energy-optimal descent profile fulfilling prescribed time constraints, additionally generating a set of control inputs which can be passed to the control module. The control strategy is decomposed into attitude and time-and-energy (T&E) components. The attitude control module corrects for cross-track deviations from the nominal profile previously calculated by the guidance algorithm, while the T&E control module corrects for the along-track distance and total energy deviations from the nominal profile. A virtual energy term is introduced which allows the control module to compensate for time deviations from the 4D trajectory. The proposed T&E guidance and control modules are verified through a number of representative case studies, showing that the proposed guidance and control modules allow the aircraft to follow a T&E-optimal 4D trajectory and to recover from deviations in the initial energy states. A prototype HMI is subsequently introduced to present the recommended control inputs to the pilot, also supporting assisted energy management in 4D descent operations.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/40805816" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="167eb197913df6d053c12c2033f9ce01" rel="nofollow" data-download="{"attachment_id":61089422,"asset_id":40805816,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/61089422/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9093041" rel="nofollow" href="https://khalifa.academia.edu/RobertoSabatini">Roberto Sabatini</a><script data-card-contents-for-user="9093041" type="text/json">{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}</script></span></span></li><li class="js-paper-rank-work_40805816 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="40805816"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 40805816, container: ".js-paper-rank-work_40805816", }); 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$(".js-view-count[data-work-id=40805816]").text(description); $(".js-view-count-work_40805816").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_40805816").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="40805816"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">18</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="78" rel="nofollow" href="https://www.academia.edu/Documents/in/Control_Systems_Engineering">Control Systems Engineering</a>, <script data-card-contents-for-ri="78" type="text/json">{"id":78,"name":"Control Systems Engineering","url":"https://www.academia.edu/Documents/in/Control_Systems_Engineering?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="88" rel="nofollow" href="https://www.academia.edu/Documents/in/Aerospace_Engineering">Aerospace Engineering</a>, <script data-card-contents-for-ri="88" type="text/json">{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2200" rel="nofollow" href="https://www.academia.edu/Documents/in/Optimal_Control">Optimal Control</a>, <script data-card-contents-for-ri="2200" type="text/json">{"id":2200,"name":"Optimal Control","url":"https://www.academia.edu/Documents/in/Optimal_Control?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5656" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-machine_Systems">Human-machine Systems</a><script data-card-contents-for-ri="5656" type="text/json">{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=40805816]'), work: {"id":40805816,"title":"Optimal energy-based 4D guidance and control for terminal descent operations","created_at":"2019-11-01T04:04:12.277-07:00","url":"https://www.academia.edu/40805816/Optimal_energy_based_4D_guidance_and_control_for_terminal_descent_operations?f_ri=5656","dom_id":"work_40805816","summary":"This paper presents an energy-optimal guidance and control strategy for 4-dimensional (4D) Trajectory-Based Operations (TBO) in the descent phase, supporting the development of 4D Human-Machine Interface (HMI) formats. The vertical guidance strategy uses multi-phase optimal control techniques based on point-mass aircraft dynamics to determine an energy-optimal descent profile fulfilling prescribed time constraints, additionally generating a set of control inputs which can be passed to the control module. The control strategy is decomposed into attitude and time-and-energy (T\u0026E) components. The attitude control module corrects for cross-track deviations from the nominal profile previously calculated by the guidance algorithm, while the T\u0026E control module corrects for the along-track distance and total energy deviations from the nominal profile. A virtual energy term is introduced which allows the control module to compensate for time deviations from the 4D trajectory. The proposed T\u0026E guidance and control modules are verified through a number of representative case studies, showing that the proposed guidance and control modules allow the aircraft to follow a T\u0026E-optimal 4D trajectory and to recover from deviations in the initial energy states. A prototype HMI is subsequently introduced to present the recommended control inputs to the pilot, also supporting assisted energy management in 4D descent operations.","downloadable_attachments":[{"id":61089422,"asset_id":40805816,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}],"research_interests":[{"id":78,"name":"Control Systems Engineering","url":"https://www.academia.edu/Documents/in/Control_Systems_Engineering?f_ri=5656","nofollow":true},{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true},{"id":2200,"name":"Optimal Control","url":"https://www.academia.edu/Documents/in/Optimal_Control?f_ri=5656","nofollow":true},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true},{"id":8730,"name":"Flight Mechanics","url":"https://www.academia.edu/Documents/in/Flight_Mechanics?f_ri=5656"},{"id":12100,"name":"Aviation","url":"https://www.academia.edu/Documents/in/Aviation?f_ri=5656"},{"id":12105,"name":"Aeronautics and Aerospace Operations","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Aerospace_Operations?f_ri=5656"},{"id":14668,"name":"Aerospace","url":"https://www.academia.edu/Documents/in/Aerospace?f_ri=5656"},{"id":16478,"name":"Aircraft Design","url":"https://www.academia.edu/Documents/in/Aircraft_Design?f_ri=5656"},{"id":26047,"name":"Flight Dynamics and Control","url":"https://www.academia.edu/Documents/in/Flight_Dynamics_and_Control?f_ri=5656"},{"id":30596,"name":"Control Systems","url":"https://www.academia.edu/Documents/in/Control_Systems?f_ri=5656"},{"id":32706,"name":"Automatic Flight Control Systems","url":"https://www.academia.edu/Documents/in/Automatic_Flight_Control_Systems?f_ri=5656"},{"id":59695,"name":"Navigation","url":"https://www.academia.edu/Documents/in/Navigation?f_ri=5656"},{"id":62386,"name":"Avionics","url":"https://www.academia.edu/Documents/in/Avionics?f_ri=5656"},{"id":133350,"name":"Avionics Engineering","url":"https://www.academia.edu/Documents/in/Avionics_Engineering?f_ri=5656"},{"id":167207,"name":"Flight mechanics and control","url":"https://www.academia.edu/Documents/in/Flight_mechanics_and_control?f_ri=5656"},{"id":216281,"name":"Aeronautics and aerospace","url":"https://www.academia.edu/Documents/in/Aeronautics_and_aerospace?f_ri=5656"},{"id":238499,"name":"Aeronautics and Astronautics","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Astronautics?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_7105833" data-work_id="7105833" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/7105833/Solar_PV_Based_Wireless_Remote_Airfield_Lighting_System">Solar PV Based Wireless Remote Airfield Lighting System</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Many remote airfields requires power for the lighting of airfield runway lights because power grid are not connected to the runway lights. It is challenging and necessary requirement to provide the adequate lighting facility. The findings... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_7105833" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Many remote airfields requires power for the lighting of airfield runway lights because power grid are not connected to the runway lights. It is challenging and necessary requirement to provide the adequate lighting facility. The findings of a Remote Airfield Lighting System research Centre gives a light with low power consumption and a color/intensity is obtained for identification of airfield and landing. This paper has added a new function along with the lights for the operational test with automatic switching of lights and batteries smart charging using solar panels with microcontroller and low cost pilot controlled lighting. The improvement is that RALS can be conveniently used at a low cost.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/7105833" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c68781627bdf3fb516cc1b34b6cb3eec" rel="nofollow" data-download="{"attachment_id":33748536,"asset_id":7105833,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/33748536/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="5570475" href="https://asdf.academia.edu/AdminASDF">Admin ASDF</a><script data-card-contents-for-user="5570475" type="text/json">{"id":5570475,"first_name":"Admin","last_name":"ASDF","domain_name":"asdf","page_name":"AdminASDF","display_name":"Admin ASDF","profile_url":"https://asdf.academia.edu/AdminASDF?f_ri=5656","photo":"https://0.academia-photos.com/5570475/2464622/3284981/s65_admin.asdf.jpg"}</script></span></span></li><li class="js-paper-rank-work_7105833 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="7105833"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 7105833, container: ".js-paper-rank-work_7105833", }); 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It is challenging and necessary requirement to provide the adequate lighting facility. The findings of a Remote Airfield Lighting System research Centre gives a light with low power consumption and a color/intensity is obtained for identification of airfield and landing. This paper has added a new function along with the lights for the operational test with automatic switching of lights and batteries smart charging using solar panels with microcontroller and low cost pilot controlled lighting. The improvement is that RALS can be conveniently used at a low cost.","downloadable_attachments":[{"id":33748536,"asset_id":7105833,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":5570475,"first_name":"Admin","last_name":"ASDF","domain_name":"asdf","page_name":"AdminASDF","display_name":"Admin ASDF","profile_url":"https://asdf.academia.edu/AdminASDF?f_ri=5656","photo":"https://0.academia-photos.com/5570475/2464622/3284981/s65_admin.asdf.jpg"}],"research_interests":[{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656","nofollow":true},{"id":777452,"name":"Human machine","url":"https://www.academia.edu/Documents/in/Human_machine?f_ri=5656","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_61035035" data-work_id="61035035" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/61035035/April_Issue_Call_for_papers_International_Journal_of_Computer_Aided_technologies_IJCAx_">April Issue Call for papers - International Journal of Computer-Aided technologies (IJCAx)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Computer-aided technologies (CAx) mean the use of computer technology to aid in the design, analysis and manufacture various products. International Journal of Computer-Aided technologies (IJCAx) is an open access, peer-reviewed journal... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_61035035" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Computer-aided technologies (CAx) mean the use of computer technology to aid in the design, analysis and manufacture various products. International Journal of Computer-Aided technologies (IJCAx) is an open access, peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Aided technologies such as CAD, CAM, CAIM,CAR, CARD, CASE etc. The journal focuses on all technical and practical aspects of Computer Aided technologies. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced CAx tools and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in all Computer Aided technologies</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/61035035" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="a9a77163c42bfa34a4ab855651143b17" rel="nofollow" data-download="{"attachment_id":83185701,"asset_id":61035035,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/83185701/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="86974900" href="https://independent.academia.edu/InternationalJournalofComputerAidedtechnologiesIJCAx">International Journal of Computer-Aided technologies (IJCAx)</a><script data-card-contents-for-user="86974900" type="text/json">{"id":86974900,"first_name":"International Journal of Computer-Aided technologies","last_name":"(IJCAx)","domain_name":"independent","page_name":"InternationalJournalofComputerAidedtechnologiesIJCAx","display_name":"International Journal of Computer-Aided technologies (IJCAx)","profile_url":"https://independent.academia.edu/InternationalJournalofComputerAidedtechnologiesIJCAx?f_ri=5656","photo":"https://0.academia-photos.com/86974900/20109798/74507170/s65_international_journal_of_computer-aided_technologies._ijcax_.jpg"}</script></span></span></li><li class="js-paper-rank-work_61035035 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="61035035"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 61035035, container: ".js-paper-rank-work_61035035", }); 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International Journal of Computer-Aided technologies (IJCAx) is an open access, peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Aided technologies such as CAD, CAM, CAIM,CAR, CARD, CASE etc. The journal focuses on all technical and practical aspects of Computer Aided technologies. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced CAx tools and establishing new collaborations in these areas. 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A fruitful research from Music Information Retrieval, Neural Networks and Deep... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_44861501" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">A highly controversial entrance of Artificial Intelligence (AI) music generators in the world of music composition and performance is currently advancing. A fruitful research from Music Information Retrieval, Neural Networks and Deep Learning, among other areas, are shaping this future. Embodied and non-embodied AI systems have stepped into the world of jazz in order to co-create idiomatic music improvisations. But how musical these improvisations are? This dissertation looks at the resulted melodic improvisations produced by OMax, ImproteK and Djazz (OID) AI generators through the lens of the elements of music and it does so from a performer’s point of view. The analysis is based mainly on the evaluation of already published results as well as on a case study I carried out during the completion of this essay which includes performance, listening and evaluation of generated improvisations of OMax. The essay also reflects upon philosophical issues, cognitive foundations of emotion and meaning and provides a comprehensive analysis of the functionality of OID.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/44861501" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e609768e6b042413adadbcfc48594af0" rel="nofollow" data-download="{"attachment_id":65371502,"asset_id":44861501,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/65371502/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="15268437" href="https://uoa.academia.edu/DimitriSmailis">Dimitri Smailis</a><script data-card-contents-for-user="15268437" type="text/json">{"id":15268437,"first_name":"Dimitri","last_name":"Smailis","domain_name":"uoa","page_name":"DimitriSmailis","display_name":"Dimitri Smailis","profile_url":"https://uoa.academia.edu/DimitriSmailis?f_ri=5656","photo":"https://0.academia-photos.com/15268437/117022006/106321351/s65_dimitri.smailis.jpeg"}</script></span></span></li><li class="js-paper-rank-work_44861501 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="44861501"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 44861501, container: ".js-paper-rank-work_44861501", }); 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A fruitful research from Music Information Retrieval, Neural Networks and Deep Learning, among other areas, are shaping this future. Embodied and non-embodied AI systems have stepped into the world of jazz in order to co-create idiomatic music improvisations. But how musical these improvisations are? This dissertation looks at the resulted melodic improvisations produced by OMax, ImproteK and Djazz (OID) AI generators through the lens of the elements of music and it does so from a performer’s point of view. The analysis is based mainly on the evaluation of already published results as well as on a case study I carried out during the completion of this essay which includes performance, listening and evaluation of generated improvisations of OMax. 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Art","url":"https://www.academia.edu/Documents/in/Performance_live_Art?f_ri=5656"},{"id":1679412,"name":"Human-Machine Communication","url":"https://www.academia.edu/Documents/in/Human-Machine_Communication?f_ri=5656"},{"id":1896002,"name":"Performance and Interactive Media arts","url":"https://www.academia.edu/Documents/in/Performance_and_Interactive_Media_arts?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1654229" data-work_id="1654229" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1654229/Evolving_Physical_Intelligence_physiology_robotics_and_computational_biology">Evolving "Physical" Intelligence: physiology, robotics, and computational biology</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1654229" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="387ab1b78d6dece6e2a9a040ce2eacdf" rel="nofollow" data-download="{"attachment_id":93294,"asset_id":1654229,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/93294/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="6366" href="https://independent.academia.edu/BradlyAlicea">Bradly Alicea</a><script data-card-contents-for-user="6366" type="text/json">{"id":6366,"first_name":"Bradly","last_name":"Alicea","domain_name":"independent","page_name":"BradlyAlicea","display_name":"Bradly Alicea","profile_url":"https://independent.academia.edu/BradlyAlicea?f_ri=5656","photo":"https://0.academia-photos.com/6366/2462/13164692/s65_bradly.alicea.jpg"}</script></span></span></li><li class="js-paper-rank-work_1654229 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1654229"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1654229, container: ".js-paper-rank-work_1654229", }); });</script></li><li class="js-percentile-work_1654229 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1654229; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_1654229"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_1654229 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="1654229"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1654229; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1654229]").text(description); $(".js-view-count-work_1654229").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1654229").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="1654229"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="77" rel="nofollow" href="https://www.academia.edu/Documents/in/Robotics">Robotics</a>, <script data-card-contents-for-ri="77" type="text/json">{"id":77,"name":"Robotics","url":"https://www.academia.edu/Documents/in/Robotics?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="465" rel="nofollow" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a>, <script data-card-contents-for-ri="465" type="text/json">{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4233" rel="nofollow" href="https://www.academia.edu/Documents/in/Computational_Biology">Computational Biology</a>, <script data-card-contents-for-ri="4233" type="text/json">{"id":4233,"name":"Computational Biology","url":"https://www.academia.edu/Documents/in/Computational_Biology?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5656" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-machine_Systems">Human-machine Systems</a><script data-card-contents-for-ri="5656" type="text/json">{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=1654229]'), work: {"id":1654229,"title":"Evolving \"Physical\" Intelligence: physiology, robotics, and computational biology","created_at":"2008-12-26T16:05:31.920-08:00","url":"https://www.academia.edu/1654229/Evolving_Physical_Intelligence_physiology_robotics_and_computational_biology?f_ri=5656","dom_id":"work_1654229","summary":null,"downloadable_attachments":[{"id":93294,"asset_id":1654229,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":6366,"first_name":"Bradly","last_name":"Alicea","domain_name":"independent","page_name":"BradlyAlicea","display_name":"Bradly Alicea","profile_url":"https://independent.academia.edu/BradlyAlicea?f_ri=5656","photo":"https://0.academia-photos.com/6366/2462/13164692/s65_bradly.alicea.jpg"}],"research_interests":[{"id":77,"name":"Robotics","url":"https://www.academia.edu/Documents/in/Robotics?f_ri=5656","nofollow":true},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true},{"id":4233,"name":"Computational Biology","url":"https://www.academia.edu/Documents/in/Computational_Biology?f_ri=5656","nofollow":true},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5819754" data-work_id="5819754" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5819754/%CE%86%CE%BD%CE%B8%CF%81%CF%89%CF%80%CE%BF%CF%82_%CE%BA%CE%B1%CE%B9_%CE%BC%CE%B7%CF%87%CE%B1%CE%BD%CE%AE_%CE%AE_%CE%A3%CE%BA%CE%AD%CF%88%CE%B7_%CE%BA%CE%B1%CE%B9_%CE%B4%CE%B9%CE%B1%CE%B4%CE%B9%CE%BA%CE%B1%CF%83%CE%AF%CE%B1_">Άνθρωπος και μηχανή (ή Σκέψη και διαδικασία;)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Κάνοντας τούτη τη δουλειά, νοιώθω σαν κάποιος που πασχίζει µάταια να θυµηθεί κάποιο όνοµα. Λέµε συνήθως σε τέτοιες περιπτώσεις: «Σκέψου κάτι άλλο, κι ύστερα θα σούρθει από µόνο του». Ετσι κι εγώ αναγκαζόµουν συνεχώς να σκέφτοµαι άλλα... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5819754" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Κάνοντας τούτη τη δουλειά, νοιώθω σαν κάποιος που πασχίζει µάταια να θυµηθεί κάποιο όνοµα. Λέµε συνήθως σε τέτοιες περιπτώσεις: «Σκέψου κάτι άλλο, κι ύστερα θα σούρθει από µόνο του». Ετσι κι εγώ αναγκαζόµουν συνεχώς να σκέφτοµαι άλλα πράγµατα, για να µπορέσει να µούρθει στο νου εκείνο που για καιρό αναζητούσα.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5819754" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b5d6b4e8d575469e1aef4cdbc7483549" rel="nofollow" data-download="{"attachment_id":32830106,"asset_id":5819754,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/32830106/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="3348313" href="https://eap.academia.edu/CharalamposKokkinos">Charalampos Kokkinos</a><script data-card-contents-for-user="3348313" type="text/json">{"id":3348313,"first_name":"Charalampos","last_name":"Kokkinos","domain_name":"eap","page_name":"CharalamposKokkinos","display_name":"Charalampos Kokkinos","profile_url":"https://eap.academia.edu/CharalamposKokkinos?f_ri=5656","photo":"https://0.academia-photos.com/3348313/1131055/53227708/s65_charalampos.kokkinos.jpg"}</script></span></span></li><li class="js-paper-rank-work_5819754 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5819754"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5819754, container: ".js-paper-rank-work_5819754", }); });</script></li><li class="js-percentile-work_5819754 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5819754; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_5819754"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_5819754 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="5819754"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5819754; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5819754]").text(description); $(".js-view-count-work_5819754").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5819754").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5819754"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">11</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="37" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Systems">Information Systems</a>, <script data-card-contents-for-ri="37" type="text/json">{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="48" rel="nofollow" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a>, <script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="184" rel="nofollow" href="https://www.academia.edu/Documents/in/Sociology">Sociology</a>, <script data-card-contents-for-ri="184" type="text/json">{"id":184,"name":"Sociology","url":"https://www.academia.edu/Documents/in/Sociology?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="491" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Technology">Information Technology</a><script data-card-contents-for-ri="491" type="text/json">{"id":491,"name":"Information Technology","url":"https://www.academia.edu/Documents/in/Information_Technology?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5819754]'), work: {"id":5819754,"title":"Άνθρωπος και μηχανή (ή Σκέψη και διαδικασία;)","created_at":"2014-01-23T18:25:19.818-08:00","url":"https://www.academia.edu/5819754/%CE%86%CE%BD%CE%B8%CF%81%CF%89%CF%80%CE%BF%CF%82_%CE%BA%CE%B1%CE%B9_%CE%BC%CE%B7%CF%87%CE%B1%CE%BD%CE%AE_%CE%AE_%CE%A3%CE%BA%CE%AD%CF%88%CE%B7_%CE%BA%CE%B1%CE%B9_%CE%B4%CE%B9%CE%B1%CE%B4%CE%B9%CE%BA%CE%B1%CF%83%CE%AF%CE%B1_?f_ri=5656","dom_id":"work_5819754","summary":"Κάνοντας τούτη τη δουλειά, νοιώθω σαν κάποιος που πασχίζει µάταια να θυµηθεί κάποιο όνοµα. Λέµε συνήθως σε τέτοιες περιπτώσεις: «Σκέψου κάτι άλλο, κι ύστερα θα σούρθει από µόνο του». Ετσι κι εγώ αναγκαζόµουν συνεχώς να σκέφτοµαι άλλα πράγµατα, για να µπορέσει να µούρθει στο νου εκείνο που για καιρό αναζητούσα.","downloadable_attachments":[{"id":32830106,"asset_id":5819754,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":3348313,"first_name":"Charalampos","last_name":"Kokkinos","domain_name":"eap","page_name":"CharalamposKokkinos","display_name":"Charalampos Kokkinos","profile_url":"https://eap.academia.edu/CharalamposKokkinos?f_ri=5656","photo":"https://0.academia-photos.com/3348313/1131055/53227708/s65_charalampos.kokkinos.jpg"}],"research_interests":[{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=5656","nofollow":true},{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=5656","nofollow":true},{"id":184,"name":"Sociology","url":"https://www.academia.edu/Documents/in/Sociology?f_ri=5656","nofollow":true},{"id":491,"name":"Information Technology","url":"https://www.academia.edu/Documents/in/Information_Technology?f_ri=5656","nofollow":true},{"id":803,"name":"Philosophy","url":"https://www.academia.edu/Documents/in/Philosophy?f_ri=5656"},{"id":855,"name":"Philosophy of Technology","url":"https://www.academia.edu/Documents/in/Philosophy_of_Technology?f_ri=5656"},{"id":923,"name":"Technology","url":"https://www.academia.edu/Documents/in/Technology?f_ri=5656"},{"id":951,"name":"Humanities","url":"https://www.academia.edu/Documents/in/Humanities?f_ri=5656"},{"id":1237,"name":"Social Sciences","url":"https://www.academia.edu/Documents/in/Social_Sciences?f_ri=5656"},{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_31075493" data-work_id="31075493" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/31075493/ALGORITHMIC_REFLECTIONS_ON_CHOREOGRAPHY">ALGORITHMIC REFLECTIONS ON CHOREOGRAPHY</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In 1996, Pablo Ventura turned his attention to the choreography software Life Forms to find out whether the then-revolutionary new tool could lead to new possibilities of expression in contemporary dance. During the next 2 decades, he... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_31075493" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In 1996, Pablo Ventura turned his attention to the choreography software Life Forms to find out whether the then-revolutionary new tool could lead to new possibilities of expression in contemporary dance. During the next 2 decades, he devised choreographic techniques and custom software to create dance works that highlight the operational logic of computers, accompanied by computer-generated dance and media elements. This article provides a firsthand account of how Ventura's engagement with algorithmic concepts guided and transformed his choreographic practice. The text describes the methods that were developed to create computer-aided dance choreographies. Furthermore, the text illustrates how choreography techniques can be applied to correlate formal and aesthetic aspects of movement, music, and video. Finally, the text emphasizes how Ventura's interest in the wider conceptual context has led him to explore with choreographic means fundamental issues concerning the characteristics of humans and machines and their increasingly profound interdependencies. Keywords: computer-aided choreography, breaking of aesthetic and bodily habits, human– machine relationships, computer-generated and interactive media.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/31075493" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="604279f9492d85ceba62dba26ab62ae5" rel="nofollow" data-download="{"attachment_id":51509694,"asset_id":31075493,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51509694/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="13236902" href="https://independent.academia.edu/PabloVentura">Pablo Ventura</a><script data-card-contents-for-user="13236902" type="text/json">{"id":13236902,"first_name":"Pablo","last_name":"Ventura","domain_name":"independent","page_name":"PabloVentura","display_name":"Pablo Ventura","profile_url":"https://independent.academia.edu/PabloVentura?f_ri=5656","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_31075493 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="31075493"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 31075493, container: ".js-paper-rank-work_31075493", }); });</script></li><li class="js-percentile-work_31075493 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31075493; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_31075493"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_31075493 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="31075493"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31075493; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31075493]").text(description); $(".js-view-count-work_31075493").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_31075493").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="31075493"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="5656" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-machine_Systems">Human-machine Systems</a>, <script data-card-contents-for-ri="5656" type="text/json">{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5676" rel="nofollow" href="https://www.academia.edu/Documents/in/Choreography">Choreography</a>, <script data-card-contents-for-ri="5676" type="text/json">{"id":5676,"name":"Choreography","url":"https://www.academia.edu/Documents/in/Choreography?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="12006" rel="nofollow" href="https://www.academia.edu/Documents/in/Interactive_Media">Interactive Media</a>, <script data-card-contents-for-ri="12006" type="text/json">{"id":12006,"name":"Interactive Media","url":"https://www.academia.edu/Documents/in/Interactive_Media?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="78667" rel="nofollow" href="https://www.academia.edu/Documents/in/Dance_and_Media">Dance and Media</a><script data-card-contents-for-ri="78667" type="text/json">{"id":78667,"name":"Dance and Media","url":"https://www.academia.edu/Documents/in/Dance_and_Media?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=31075493]'), work: {"id":31075493,"title":"ALGORITHMIC REFLECTIONS ON CHOREOGRAPHY","created_at":"2017-01-25T11:24:34.824-08:00","url":"https://www.academia.edu/31075493/ALGORITHMIC_REFLECTIONS_ON_CHOREOGRAPHY?f_ri=5656","dom_id":"work_31075493","summary":"In 1996, Pablo Ventura turned his attention to the choreography software Life Forms to find out whether the then-revolutionary new tool could lead to new possibilities of expression in contemporary dance. During the next 2 decades, he devised choreographic techniques and custom software to create dance works that highlight the operational logic of computers, accompanied by computer-generated dance and media elements. This article provides a firsthand account of how Ventura's engagement with algorithmic concepts guided and transformed his choreographic practice. The text describes the methods that were developed to create computer-aided dance choreographies. Furthermore, the text illustrates how choreography techniques can be applied to correlate formal and aesthetic aspects of movement, music, and video. Finally, the text emphasizes how Ventura's interest in the wider conceptual context has led him to explore with choreographic means fundamental issues concerning the characteristics of humans and machines and their increasingly profound interdependencies. Keywords: computer-aided choreography, breaking of aesthetic and bodily habits, human– machine relationships, computer-generated and interactive media.","downloadable_attachments":[{"id":51509694,"asset_id":31075493,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":13236902,"first_name":"Pablo","last_name":"Ventura","domain_name":"independent","page_name":"PabloVentura","display_name":"Pablo Ventura","profile_url":"https://independent.academia.edu/PabloVentura?f_ri=5656","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true},{"id":5676,"name":"Choreography","url":"https://www.academia.edu/Documents/in/Choreography?f_ri=5656","nofollow":true},{"id":12006,"name":"Interactive Media","url":"https://www.academia.edu/Documents/in/Interactive_Media?f_ri=5656","nofollow":true},{"id":78667,"name":"Dance and Media","url":"https://www.academia.edu/Documents/in/Dance_and_Media?f_ri=5656","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1486778 coauthored" data-work_id="1486778" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1486778/Regenerative_Nanomedicine_Ethical_Legal_and_Social_Issues">Regenerative Nanomedicine: Ethical, Legal, and Social Issues</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Advances in regenerative nanomedicine raise a host of ethical, legal, and social questions that healthcare providers and scientists will need to consider. These questions and concerns include definitions, appropriate applications, dual... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1486778" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Advances in regenerative nanomedicine raise a host of ethical, legal, and social questions that healthcare providers and scientists will need to consider. These questions and concerns include definitions, appropriate applications, dual use, potential risks, regulations, and access. In this chapter, we provide an overview of the questions and concerns and recommend proactive consideration and solutions.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1486778" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="25d0375e26fb6441d0ef1fbf5ad026db" rel="nofollow" data-download="{"attachment_id":11608924,"asset_id":1486778,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/11608924/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="42072221" href="https://independent.academia.edu/JeanannBoyce">Jeanann Boyce</a><script data-card-contents-for-user="42072221" type="text/json">{"id":42072221,"first_name":"Jeanann","last_name":"Boyce","domain_name":"independent","page_name":"JeanannBoyce","display_name":"Jeanann Boyce","profile_url":"https://independent.academia.edu/JeanannBoyce?f_ri=5656","photo":"/images/s65_no_pic.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-1486778">+1</span><div class="hidden js-additional-users-1486778"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://ucsc.academia.edu/LindaMacDonaldGlenn">Linda MacDonald Glenn</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-1486778'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-1486778').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_1486778 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1486778"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1486778, container: ".js-paper-rank-work_1486778", }); });</script></li><li class="js-percentile-work_1486778 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1486778; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_1486778"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_1486778 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="1486778"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1486778; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1486778]").text(description); $(".js-view-count-work_1486778").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1486778").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="1486778"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">25</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="465" rel="nofollow" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a>, <script data-card-contents-for-ri="465" type="text/json">{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1131" rel="nofollow" href="https://www.academia.edu/Documents/in/Biomedical_Engineering">Biomedical Engineering</a>, <script data-card-contents-for-ri="1131" type="text/json">{"id":1131,"name":"Biomedical Engineering","url":"https://www.academia.edu/Documents/in/Biomedical_Engineering?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1414" rel="nofollow" href="https://www.academia.edu/Documents/in/Bioethics">Bioethics</a>, <script data-card-contents-for-ri="1414" type="text/json">{"id":1414,"name":"Bioethics","url":"https://www.academia.edu/Documents/in/Bioethics?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2699" rel="nofollow" href="https://www.academia.edu/Documents/in/Tissue_Engineering">Tissue Engineering</a><script data-card-contents-for-ri="2699" type="text/json">{"id":2699,"name":"Tissue Engineering","url":"https://www.academia.edu/Documents/in/Tissue_Engineering?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=1486778]'), work: {"id":1486778,"title":"Regenerative Nanomedicine: Ethical, Legal, and Social Issues","created_at":"2012-03-26T01:50:02.026-07:00","url":"https://www.academia.edu/1486778/Regenerative_Nanomedicine_Ethical_Legal_and_Social_Issues?f_ri=5656","dom_id":"work_1486778","summary":"Advances in regenerative nanomedicine raise a host of ethical, legal, and social questions that healthcare providers and scientists will need to consider. These questions and concerns include definitions, appropriate applications, dual use, potential risks, regulations, and access. In this chapter, we provide an overview of the questions and concerns and recommend proactive consideration and solutions.","downloadable_attachments":[{"id":11608924,"asset_id":1486778,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":42072221,"first_name":"Jeanann","last_name":"Boyce","domain_name":"independent","page_name":"JeanannBoyce","display_name":"Jeanann Boyce","profile_url":"https://independent.academia.edu/JeanannBoyce?f_ri=5656","photo":"/images/s65_no_pic.png"},{"id":223806,"first_name":"Linda MacDonald","last_name":"Glenn","domain_name":"ucsc","page_name":"LindaMacDonaldGlenn","display_name":"Linda MacDonald Glenn","profile_url":"https://ucsc.academia.edu/LindaMacDonaldGlenn?f_ri=5656","photo":"https://0.academia-photos.com/223806/499491/56657637/s65_linda_macdonald.glenn.jpg"}],"research_interests":[{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true},{"id":1131,"name":"Biomedical Engineering","url":"https://www.academia.edu/Documents/in/Biomedical_Engineering?f_ri=5656","nofollow":true},{"id":1414,"name":"Bioethics","url":"https://www.academia.edu/Documents/in/Bioethics?f_ri=5656","nofollow":true},{"id":2699,"name":"Tissue Engineering","url":"https://www.academia.edu/Documents/in/Tissue_Engineering?f_ri=5656","nofollow":true},{"id":3642,"name":"Stem Cells","url":"https://www.academia.edu/Documents/in/Stem_Cells?f_ri=5656"},{"id":3699,"name":"Stem cell and Regenerative medicine","url":"https://www.academia.edu/Documents/in/Stem_cell_and_Regenerative_medicine?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":11972,"name":"Nanomedicine","url":"https://www.academia.edu/Documents/in/Nanomedicine?f_ri=5656"},{"id":13104,"name":"Cellular Reprogramming","url":"https://www.academia.edu/Documents/in/Cellular_Reprogramming?f_ri=5656"},{"id":17733,"name":"Nanotechnology","url":"https://www.academia.edu/Documents/in/Nanotechnology?f_ri=5656"},{"id":25550,"name":"Regenerative Medicine","url":"https://www.academia.edu/Documents/in/Regenerative_Medicine?f_ri=5656"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine?f_ri=5656"},{"id":32105,"name":"Biomedical research ethics and policy","url":"https://www.academia.edu/Documents/in/Biomedical_research_ethics_and_policy?f_ri=5656"},{"id":36997,"name":"Emerging Technologies","url":"https://www.academia.edu/Documents/in/Emerging_Technologies?f_ri=5656"},{"id":41114,"name":"Biomaterials and Tissue Engineering","url":"https://www.academia.edu/Documents/in/Biomaterials_and_Tissue_Engineering?f_ri=5656"},{"id":41346,"name":"Ethics of Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Ethics_of_Artificial_Intelligence?f_ri=5656"},{"id":46580,"name":"Live-cell imaging","url":"https://www.academia.edu/Documents/in/Live-cell_imaging?f_ri=5656"},{"id":103213,"name":"Nanoscience","url":"https://www.academia.edu/Documents/in/Nanoscience?f_ri=5656"},{"id":125784,"name":"Cell Signalling","url":"https://www.academia.edu/Documents/in/Cell_Signalling?f_ri=5656"},{"id":132728,"name":"Nanobiotechnology, Nanomedicine","url":"https://www.academia.edu/Documents/in/Nanobiotechnology_Nanomedicine?f_ri=5656"},{"id":199905,"name":"Tissue engineering and regenerative medicine","url":"https://www.academia.edu/Documents/in/Tissue_engineering_and_regenerative_medicine?f_ri=5656"},{"id":205560,"name":"Molecular Cell Biology","url":"https://www.academia.edu/Documents/in/Molecular_Cell_Biology?f_ri=5656"},{"id":324808,"name":"Fda Regulations and Policies","url":"https://www.academia.edu/Documents/in/Fda_Regulations_and_Policies?f_ri=5656"},{"id":515729,"name":"Stem cells and Regenerative Medicine","url":"https://www.academia.edu/Documents/in/Stem_cells_and_Regenerative_Medicine?f_ri=5656"},{"id":964639,"name":"Probe Design for Diagnosis of Diseases","url":"https://www.academia.edu/Documents/in/Probe_Design_for_Diagnosis_of_Diseases?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_39336849" data-work_id="39336849" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/39336849/Cognitive_Human_Machine_Interfaces_and_Interactions_for_Multi_UAV_Operations">Cognitive Human-Machine Interfaces and Interactions for Multi-UAV Operations</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Advances in Unmanned Aerial Vehicles (UAV) autonomy have brought significant interest in multi-UAV operations, where a single operator commands and coordinates the tasks of multiple UAV. Multi-UAV surveillance applications over large... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_39336849" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Advances in Unmanned Aerial Vehicles (UAV) autonomy have brought significant interest in multi-UAV operations, where a single operator commands and coordinates the tasks of multiple UAV. Multi-UAV surveillance applications over large geographic regions require human operators to process large amounts of information in order to make tactical decisions. To support the management of the human operator's workload and situational awareness, the concept of a ground control station utilising Cognitive Human-Machine Interfaces and Interactions (CHMI2) is presented. A CHMI2 module estimates the human operator's workload, fatigue and situational awareness in real-time to drive reconfigurations in the ground control station HMI2 , maximising the operator's situational awareness and decision-making for more effective mission management. A number of elements of the CHMI2 are presented in this paper, along with the concept of operations for separate scenarios involving littoral surveillance, as well as bushfire monitoring and fire-fighting.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/39336849" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="46a32fd8599ea7954faa470a24cd6f28" rel="nofollow" data-download="{"attachment_id":59477039,"asset_id":39336849,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/59477039/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9093041" rel="nofollow" href="https://khalifa.academia.edu/RobertoSabatini">Roberto Sabatini</a><script data-card-contents-for-user="9093041" type="text/json">{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}</script></span></span></li><li class="js-paper-rank-work_39336849 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="39336849"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 39336849, container: ".js-paper-rank-work_39336849", }); });</script></li><li class="js-percentile-work_39336849 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 39336849; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_39336849"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_39336849 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="39336849"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 39336849; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=39336849]").text(description); $(".js-view-count-work_39336849").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_39336849").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="39336849"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">19</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="88" rel="nofollow" href="https://www.academia.edu/Documents/in/Aerospace_Engineering">Aerospace Engineering</a>, <script data-card-contents-for-ri="88" type="text/json">{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="465" rel="nofollow" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a>, <script data-card-contents-for-ri="465" type="text/json">{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="472" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_Computer_Interaction">Human Computer Interaction</a>, <script data-card-contents-for-ri="472" type="text/json">{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="700" rel="nofollow" href="https://www.academia.edu/Documents/in/Space_Sciences">Space Sciences</a><script data-card-contents-for-ri="700" type="text/json">{"id":700,"name":"Space Sciences","url":"https://www.academia.edu/Documents/in/Space_Sciences?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=39336849]'), work: {"id":39336849,"title":"Cognitive Human-Machine Interfaces and Interactions for Multi-UAV Operations","created_at":"2019-06-01T04:23:04.150-07:00","url":"https://www.academia.edu/39336849/Cognitive_Human_Machine_Interfaces_and_Interactions_for_Multi_UAV_Operations?f_ri=5656","dom_id":"work_39336849","summary":"Advances in Unmanned Aerial Vehicles (UAV) autonomy have brought significant interest in multi-UAV operations, where a single operator commands and coordinates the tasks of multiple UAV. Multi-UAV surveillance applications over large geographic regions require human operators to process large amounts of information in order to make tactical decisions. To support the management of the human operator's workload and situational awareness, the concept of a ground control station utilising Cognitive Human-Machine Interfaces and Interactions (CHMI2) is presented. A CHMI2 module estimates the human operator's workload, fatigue and situational awareness in real-time to drive reconfigurations in the ground control station HMI2 , maximising the operator's situational awareness and decision-making for more effective mission management. A number of elements of the CHMI2 are presented in this paper, along with the concept of operations for separate scenarios involving littoral surveillance, as well as bushfire monitoring and fire-fighting.","downloadable_attachments":[{"id":59477039,"asset_id":39336849,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}],"research_interests":[{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true},{"id":700,"name":"Space Sciences","url":"https://www.academia.edu/Documents/in/Space_Sciences?f_ri=5656","nofollow":true},{"id":3641,"name":"Aeronautical Engineering","url":"https://www.academia.edu/Documents/in/Aeronautical_Engineering?f_ri=5656"},{"id":4165,"name":"Fuzzy Logic","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":9010,"name":"Astronautics","url":"https://www.academia.edu/Documents/in/Astronautics?f_ri=5656"},{"id":9586,"name":"Unmanned Aircraft Systems","url":"https://www.academia.edu/Documents/in/Unmanned_Aircraft_Systems?f_ri=5656"},{"id":12105,"name":"Aeronautics and Aerospace Operations","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Aerospace_Operations?f_ri=5656"},{"id":14668,"name":"Aerospace","url":"https://www.academia.edu/Documents/in/Aerospace?f_ri=5656"},{"id":44890,"name":"Unmanned Aerial Vehicles","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicles?f_ri=5656"},{"id":49457,"name":"Unmanned Ground Vehicles","url":"https://www.academia.edu/Documents/in/Unmanned_Ground_Vehicles?f_ri=5656"},{"id":54123,"name":"Artificial Neural Networks","url":"https://www.academia.edu/Documents/in/Artificial_Neural_Networks?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":181995,"name":"Aeronautics","url":"https://www.academia.edu/Documents/in/Aeronautics?f_ri=5656"},{"id":189027,"name":"Unmanned Aerial Vehicle (UAV)","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicle_UAV_?f_ri=5656"},{"id":238499,"name":"Aeronautics and Astronautics","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Astronautics?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_32919371" data-work_id="32919371" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/32919371/Colour_is_objective_mind_the_grass_really_is_green_and_the_heavens_really_are_blue">Colour is objective mind – the grass really is green and the heavens really are blue</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Critique is directed against lingering philosophical Idealism and its counterpart; rationalistic physicalism. The remarkable discoveries of quantum physics invalidate them both, findings that have largely been ignored. The objective world... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_32919371" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Critique is directed against lingering philosophical Idealism and its counterpart; rationalistic physicalism. The remarkable discoveries of quantum physics invalidate them both, findings that have largely been ignored. The objective world constitutes of both mind and matter, and so does the subject. There exists no metaphysical barrier. Rather, subject and object are interactive and partake of the very same substance of reality. This has complementary nature, that is, manifests either as mind or matter. <br /> <br />Keywords: philosophy of color, theory of mind, ontology, epistemology, Idealism, Orch OR, qualia, reprentationism, artificial intelligence, AI, machine-human, physicalism, rationalism, complementarity, wave-particle duality, Kant, Descartes, Roger Penrose, James J. Gibson.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/32919371" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e57e3b5f2cb999a8c2243996f2090599" rel="nofollow" data-download="{"attachment_id":79701946,"asset_id":32919371,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/79701946/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="5645517" href="https://independent.academia.edu/MatsWinther">Mats Winther</a><script data-card-contents-for-user="5645517" type="text/json">{"id":5645517,"first_name":"Mats","last_name":"Winther","domain_name":"independent","page_name":"MatsWinther","display_name":"Mats Winther","profile_url":"https://independent.academia.edu/MatsWinther?f_ri=5656","photo":"https://0.academia-photos.com/5645517/3002207/135787579/s65_mats.winther.jpg"}</script></span></span></li><li class="js-paper-rank-work_32919371 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="32919371"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 32919371, container: ".js-paper-rank-work_32919371", }); 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$(".js-view-count[data-work-id=32919371]").text(description); $(".js-view-count-work_32919371").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_32919371").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="32919371"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">22</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="465" rel="nofollow" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a>, <script data-card-contents-for-ri="465" type="text/json">{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="804" rel="nofollow" href="https://www.academia.edu/Documents/in/Metaphysics">Metaphysics</a>, <script data-card-contents-for-ri="804" type="text/json">{"id":804,"name":"Metaphysics","url":"https://www.academia.edu/Documents/in/Metaphysics?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="805" rel="nofollow" href="https://www.academia.edu/Documents/in/Ontology">Ontology</a>, <script data-card-contents-for-ri="805" type="text/json">{"id":805,"name":"Ontology","url":"https://www.academia.edu/Documents/in/Ontology?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="806" rel="nofollow" href="https://www.academia.edu/Documents/in/Philosophy_of_Mind">Philosophy of Mind</a><script data-card-contents-for-ri="806" type="text/json">{"id":806,"name":"Philosophy of Mind","url":"https://www.academia.edu/Documents/in/Philosophy_of_Mind?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=32919371]'), work: {"id":32919371,"title":"Colour is objective mind – the grass really is green and the heavens really are blue","created_at":"2017-05-09T02:43:50.982-07:00","url":"https://www.academia.edu/32919371/Colour_is_objective_mind_the_grass_really_is_green_and_the_heavens_really_are_blue?f_ri=5656","dom_id":"work_32919371","summary":"Critique is directed against lingering philosophical Idealism and its counterpart; rationalistic physicalism. The remarkable discoveries of quantum physics invalidate them both, findings that have largely been ignored. The objective world constitutes of both mind and matter, and so does the subject. There exists no metaphysical barrier. Rather, subject and object are interactive and partake of the very same substance of reality. This has complementary nature, that is, manifests either as mind or matter. \r\n\r\nKeywords: philosophy of color, theory of mind, ontology, epistemology, Idealism, Orch OR, qualia, reprentationism, artificial intelligence, AI, machine-human, physicalism, rationalism, complementarity, wave-particle duality, Kant, Descartes, Roger Penrose, James J. Gibson.","downloadable_attachments":[{"id":79701946,"asset_id":32919371,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":5645517,"first_name":"Mats","last_name":"Winther","domain_name":"independent","page_name":"MatsWinther","display_name":"Mats Winther","profile_url":"https://independent.academia.edu/MatsWinther?f_ri=5656","photo":"https://0.academia-photos.com/5645517/3002207/135787579/s65_mats.winther.jpg"}],"research_interests":[{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true},{"id":804,"name":"Metaphysics","url":"https://www.academia.edu/Documents/in/Metaphysics?f_ri=5656","nofollow":true},{"id":805,"name":"Ontology","url":"https://www.academia.edu/Documents/in/Ontology?f_ri=5656","nofollow":true},{"id":806,"name":"Philosophy of Mind","url":"https://www.academia.edu/Documents/in/Philosophy_of_Mind?f_ri=5656","nofollow":true},{"id":815,"name":"Epistemology","url":"https://www.academia.edu/Documents/in/Epistemology?f_ri=5656"},{"id":821,"name":"Philosophy of Science","url":"https://www.academia.edu/Documents/in/Philosophy_of_Science?f_ri=5656"},{"id":849,"name":"Kant","url":"https://www.academia.edu/Documents/in/Kant?f_ri=5656"},{"id":3020,"name":"Idealism","url":"https://www.academia.edu/Documents/in/Idealism?f_ri=5656"},{"id":4937,"name":"Theory of Mind","url":"https://www.academia.edu/Documents/in/Theory_of_Mind?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":10150,"name":"Physicalism","url":"https://www.academia.edu/Documents/in/Physicalism?f_ri=5656"},{"id":16031,"name":"Immanuel Kant","url":"https://www.academia.edu/Documents/in/Immanuel_Kant?f_ri=5656"},{"id":18187,"name":"Rationalism","url":"https://www.academia.edu/Documents/in/Rationalism?f_ri=5656"},{"id":31353,"name":"Descartes","url":"https://www.academia.edu/Documents/in/Descartes?f_ri=5656"},{"id":31553,"name":"Qualia","url":"https://www.academia.edu/Documents/in/Qualia?f_ri=5656"},{"id":47614,"name":"Theory of Knowledge","url":"https://www.academia.edu/Documents/in/Theory_of_Knowledge?f_ri=5656"},{"id":203296,"name":"James J. Gibson","url":"https://www.academia.edu/Documents/in/James_J._Gibson?f_ri=5656"},{"id":248227,"name":"Complementarity","url":"https://www.academia.edu/Documents/in/Complementarity?f_ri=5656"},{"id":271630,"name":"Wave particle duality","url":"https://www.academia.edu/Documents/in/Wave_particle_duality?f_ri=5656"},{"id":399355,"name":"Roger Penrose","url":"https://www.academia.edu/Documents/in/Roger_Penrose?f_ri=5656"},{"id":1134423,"name":"Philosophy of Color","url":"https://www.academia.edu/Documents/in/Philosophy_of_Color?f_ri=5656"},{"id":2608625,"name":"Peter Russell","url":"https://www.academia.edu/Documents/in/Peter_Russell?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_3157890" data-work_id="3157890" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/3157890/Job_Shop_Scheduling_Hybrid_Intelligent_Human_Computer_Paradigm">Job Shop Scheduling: Hybrid Intelligent Human-Computer Paradigm</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The thesis challenges the general perception that job shop scheduling is a combinatorial exercise of allocating jobs to machines and sequencing operations on each machine. In practice, human schedulers produce functional schedules bound... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_3157890" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The thesis challenges the general perception that job shop scheduling is a combinatorial exercise of allocating jobs to machines and sequencing operations on each machine. In practice, human schedulers produce functional schedules bound by many constraints, both qualitative and subjective, and, quantitative and objective. A paradigm for hybrid intelligent human-computer scheduling is developed through Cognitive Work Analysis, based on a field study of a scheduler in a small job shop. Hybrid Human-Computer Intelligent Automation (HHCIA), in which human and machine 'intelligence' are combined, is related to the established models for supervisory control of continuous processes. 'Hybrid' is used to signify human and machine intelligence combining cooperatively. HHCIA applied to both continuous and discrete manufacture is shown to consist of two elements: the control of the processing of batches of work and the control of the changeover of batches. Scheduling is shown to be central to the 'hybrid' automation of discrete manufacture. Planning the changeover of batches has a predominant place in HHCIA of discrete manufacture. As the job-shop environment is perceived to be most difficult to schedule, it is used to explore a hybrid intelligent human-computer paradigm for the scheduling component of HHCIA. This leads to development of a methodology for designing a hybrid intelligent production scheduling system.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/3157890" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c6cf16146ca03b1ca11f530096f1f41a" rel="nofollow" data-download="{"attachment_id":31059302,"asset_id":3157890,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/31059302/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="119168" href="https://swin.academia.edu/PeterHiggins">Peter G Higgins</a><script data-card-contents-for-user="119168" type="text/json">{"id":119168,"first_name":"Peter","last_name":"Higgins","domain_name":"swin","page_name":"PeterHiggins","display_name":"Peter G Higgins","profile_url":"https://swin.academia.edu/PeterHiggins?f_ri=5656","photo":"https://0.academia-photos.com/119168/18668767/18628110/s65_peter.higgins.jpg"}</script></span></span></li><li class="js-paper-rank-work_3157890 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="3157890"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 3157890, container: ".js-paper-rank-work_3157890", }); });</script></li><li class="js-percentile-work_3157890 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 3157890; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_3157890"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_3157890 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="3157890"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 3157890; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=3157890]").text(description); $(".js-view-count-work_3157890").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_3157890").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="3157890"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">14</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="472" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_Computer_Interaction">Human Computer Interaction</a>, <script data-card-contents-for-ri="472" type="text/json">{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1681" rel="nofollow" href="https://www.academia.edu/Documents/in/Decision_Making">Decision Making</a>, <script data-card-contents-for-ri="1681" type="text/json">{"id":1681,"name":"Decision Making","url":"https://www.academia.edu/Documents/in/Decision_Making?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2436" rel="nofollow" href="https://www.academia.edu/Documents/in/Operations_Management">Operations Management</a>, <script data-card-contents-for-ri="2436" type="text/json">{"id":2436,"name":"Operations Management","url":"https://www.academia.edu/Documents/in/Operations_Management?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2535" rel="nofollow" href="https://www.academia.edu/Documents/in/Operations_Research">Operations Research</a><script data-card-contents-for-ri="2535" type="text/json">{"id":2535,"name":"Operations Research","url":"https://www.academia.edu/Documents/in/Operations_Research?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=3157890]'), work: {"id":3157890,"title":"Job Shop Scheduling: Hybrid Intelligent Human-Computer Paradigm","created_at":"2013-03-29T10:33:02.114-07:00","url":"https://www.academia.edu/3157890/Job_Shop_Scheduling_Hybrid_Intelligent_Human_Computer_Paradigm?f_ri=5656","dom_id":"work_3157890","summary":"The thesis challenges the general perception that job shop scheduling is a combinatorial exercise of allocating jobs to machines and sequencing operations on each machine. In practice, human schedulers produce functional schedules bound by many constraints, both qualitative and subjective, and, quantitative and objective. A paradigm for hybrid intelligent human-computer scheduling is developed through Cognitive Work Analysis, based on a field study of a scheduler in a small job shop. Hybrid Human-Computer Intelligent Automation (HHCIA), in which human and machine 'intelligence' are combined, is related to the established models for supervisory control of continuous processes. 'Hybrid' is used to signify human and machine intelligence combining cooperatively. HHCIA applied to both continuous and discrete manufacture is shown to consist of two elements: the control of the processing of batches of work and the control of the changeover of batches. Scheduling is shown to be central to the 'hybrid' automation of discrete manufacture. Planning the changeover of batches has a predominant place in HHCIA of discrete manufacture. As the job-shop environment is perceived to be most difficult to schedule, it is used to explore a hybrid intelligent human-computer paradigm for the scheduling component of HHCIA. This leads to development of a methodology for designing a hybrid intelligent production scheduling system.","downloadable_attachments":[{"id":31059302,"asset_id":3157890,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":119168,"first_name":"Peter","last_name":"Higgins","domain_name":"swin","page_name":"PeterHiggins","display_name":"Peter G Higgins","profile_url":"https://swin.academia.edu/PeterHiggins?f_ri=5656","photo":"https://0.academia-photos.com/119168/18668767/18628110/s65_peter.higgins.jpg"}],"research_interests":[{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true},{"id":1681,"name":"Decision Making","url":"https://www.academia.edu/Documents/in/Decision_Making?f_ri=5656","nofollow":true},{"id":2436,"name":"Operations Management","url":"https://www.academia.edu/Documents/in/Operations_Management?f_ri=5656","nofollow":true},{"id":2535,"name":"Operations Research","url":"https://www.academia.edu/Documents/in/Operations_Research?f_ri=5656","nofollow":true},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":8210,"name":"Behavioral Decision Making","url":"https://www.academia.edu/Documents/in/Behavioral_Decision_Making?f_ri=5656"},{"id":10075,"name":"Decision Support Systems","url":"https://www.academia.edu/Documents/in/Decision_Support_Systems?f_ri=5656"},{"id":12601,"name":"Human-centred design","url":"https://www.academia.edu/Documents/in/Human-centred_design?f_ri=5656"},{"id":16097,"name":"Decision Making Under Uncertainty","url":"https://www.academia.edu/Documents/in/Decision_Making_Under_Uncertainty?f_ri=5656"},{"id":23169,"name":"Cognitive Engineering","url":"https://www.academia.edu/Documents/in/Cognitive_Engineering?f_ri=5656"},{"id":45925,"name":"Cognitive Ergonomics","url":"https://www.academia.edu/Documents/in/Cognitive_Ergonomics?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":82715,"name":"Human-Centered Design","url":"https://www.academia.edu/Documents/in/Human-Centered_Design?f_ri=5656"},{"id":218916,"name":"Human Centred Design","url":"https://www.academia.edu/Documents/in/Human_Centred_Design?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_37858204" data-work_id="37858204" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/37858204/Eye_Tracking_Sensors_for_Adaptive_Aerospace_Human_Machine_Interfaces_and_Interactions">Eye-Tracking Sensors for Adaptive Aerospace Human-Machine Interfaces and Interactions</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Whereas current aerospace Human-Machine Interfaces and Interactions (HMI2) are mostly static in their behaviour/appearance and require direct input from human operators, innovative HMI2 concepts are being proposed which allow for... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_37858204" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Whereas current aerospace Human-Machine Interfaces and Interactions (HMI2) are mostly static in their behaviour/appearance and require direct input from human operators, innovative HMI2 concepts are being proposed which allow for multimodal interactions or sense the functional state of human operators and dynamically adapt the level of automation. In particular, to facilitate trust between the human and machine, such systems need sensors that can reliably detect changes in the operator state. However, a number of environmental factors can affect the sensor's accuracy and precision. When used together with other novel sensors, eye tracking has a significant potential to enhance the adaptiveness of aerospace HMI2. This paper presents the activities carried out to quantify the uncertainty associated with eye tracking equipment available in the Avionics and Air Traffic Management (ATM) systems laboratory of RMIT University, which is being used to support the development of Cognitive HMI2. The presented methodology is used to characterise its measurement uncertainty based on a number of considerations, including the calibration error as well as gaze angle in static and dynamic conditions. The uncertainty associated with the eye tracker is used for error budgeting of a Cognitive HMI2 system which employs fuzzy logics to infer operator cognitive states based on eye tracking inputs.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37858204" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="220516da091ac3d8320e12899ca06dfb" rel="nofollow" data-download="{"attachment_id":57863123,"asset_id":37858204,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/57863123/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9093041" rel="nofollow" href="https://khalifa.academia.edu/RobertoSabatini">Roberto Sabatini</a><script data-card-contents-for-user="9093041" type="text/json">{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}</script></span></span></li><li class="js-paper-rank-work_37858204 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="37858204"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 37858204, container: ".js-paper-rank-work_37858204", }); });</script></li><li class="js-percentile-work_37858204 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 37858204; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_37858204"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_37858204 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="37858204"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 37858204; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=37858204]").text(description); $(".js-view-count-work_37858204").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_37858204").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="37858204"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">19</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="88" rel="nofollow" href="https://www.academia.edu/Documents/in/Aerospace_Engineering">Aerospace Engineering</a>, <script data-card-contents-for-ri="88" type="text/json">{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="236" rel="nofollow" href="https://www.academia.edu/Documents/in/Cognitive_Psychology">Cognitive Psychology</a>, <script data-card-contents-for-ri="236" type="text/json">{"id":236,"name":"Cognitive Psychology","url":"https://www.academia.edu/Documents/in/Cognitive_Psychology?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="472" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_Computer_Interaction">Human Computer Interaction</a>, <script data-card-contents-for-ri="472" type="text/json">{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1649" rel="nofollow" href="https://www.academia.edu/Documents/in/Ergonomics">Ergonomics</a><script data-card-contents-for-ri="1649" type="text/json">{"id":1649,"name":"Ergonomics","url":"https://www.academia.edu/Documents/in/Ergonomics?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=37858204]'), work: {"id":37858204,"title":"Eye-Tracking Sensors for Adaptive Aerospace Human-Machine Interfaces and Interactions","created_at":"2018-11-26T22:50:24.678-08:00","url":"https://www.academia.edu/37858204/Eye_Tracking_Sensors_for_Adaptive_Aerospace_Human_Machine_Interfaces_and_Interactions?f_ri=5656","dom_id":"work_37858204","summary":"Whereas current aerospace Human-Machine Interfaces and Interactions (HMI2) are mostly static in their behaviour/appearance and require direct input from human operators, innovative HMI2 concepts are being proposed which allow for multimodal interactions or sense the functional state of human operators and dynamically adapt the level of automation. In particular, to facilitate trust between the human and machine, such systems need sensors that can reliably detect changes in the operator state. However, a number of environmental factors can affect the sensor's accuracy and precision. When used together with other novel sensors, eye tracking has a significant potential to enhance the adaptiveness of aerospace HMI2. This paper presents the activities carried out to quantify the uncertainty associated with eye tracking equipment available in the Avionics and Air Traffic Management (ATM) systems laboratory of RMIT University, which is being used to support the development of Cognitive HMI2. The presented methodology is used to characterise its measurement uncertainty based on a number of considerations, including the calibration error as well as gaze angle in static and dynamic conditions. The uncertainty associated with the eye tracker is used for error budgeting of a Cognitive HMI2 system which employs fuzzy logics to infer operator cognitive states based on eye tracking inputs.","downloadable_attachments":[{"id":57863123,"asset_id":37858204,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}],"research_interests":[{"id":88,"name":"Aerospace Engineering","url":"https://www.academia.edu/Documents/in/Aerospace_Engineering?f_ri=5656","nofollow":true},{"id":236,"name":"Cognitive Psychology","url":"https://www.academia.edu/Documents/in/Cognitive_Psychology?f_ri=5656","nofollow":true},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true},{"id":1649,"name":"Ergonomics","url":"https://www.academia.edu/Documents/in/Ergonomics?f_ri=5656","nofollow":true},{"id":3170,"name":"Air Transport","url":"https://www.academia.edu/Documents/in/Air_Transport?f_ri=5656"},{"id":3641,"name":"Aeronautical Engineering","url":"https://www.academia.edu/Documents/in/Aeronautical_Engineering?f_ri=5656"},{"id":3762,"name":"Human Factors","url":"https://www.academia.edu/Documents/in/Human_Factors?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":12100,"name":"Aviation","url":"https://www.academia.edu/Documents/in/Aviation?f_ri=5656"},{"id":12105,"name":"Aeronautics and Aerospace Operations","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Aerospace_Operations?f_ri=5656"},{"id":14668,"name":"Aerospace","url":"https://www.academia.edu/Documents/in/Aerospace?f_ri=5656"},{"id":28413,"name":"Air Traffic Management","url":"https://www.academia.edu/Documents/in/Air_Traffic_Management?f_ri=5656"},{"id":55293,"name":"Air traffic control","url":"https://www.academia.edu/Documents/in/Air_traffic_control?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":181995,"name":"Aeronautics","url":"https://www.academia.edu/Documents/in/Aeronautics?f_ri=5656"},{"id":216281,"name":"Aeronautics and aerospace","url":"https://www.academia.edu/Documents/in/Aeronautics_and_aerospace?f_ri=5656"},{"id":238499,"name":"Aeronautics and Astronautics","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Astronautics?f_ri=5656"},{"id":271648,"name":"Aeronautical","url":"https://www.academia.edu/Documents/in/Aeronautical?f_ri=5656"},{"id":684819,"name":"Air Transport Management","url":"https://www.academia.edu/Documents/in/Air_Transport_Management?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_28343999 coauthored" data-work_id="28343999" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/28343999/Conceptual_Spaces_for_Cognitive_Architectures_A_Lingua_Franca_for_Different_Levels_of_Representation">Conceptual Spaces for Cognitive Architectures: A Lingua Franca for Different Levels of Representation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">During the last decades, many cognitive architectures (CAs) have been realized adopting different assumptions about the organization and the representation of their knowledge level. Some of them (e.g. SOAR [35]) adopt a classical symbolic... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_28343999" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">During the last decades, many cognitive architectures (CAs) have been realized adopting different assumptions about the organization and the representation of their knowledge level. Some of them (e.g. SOAR [35]) adopt a classical symbolic approach, some (e.g. LEABRA[48]) are based on a purely con-nectionist model, while others (e.g. CLARION [59]) adopt a hybrid approach combining connectionist and symbolic representational levels. Additionally, some attempts (e.g. biSOAR) trying to extend the representational capacities of CAs by integrating diagrammatical representations and reasoning are also available [34]. In this paper we propose a reflection on the role that Conceptual Spaces, a framework developed by Peter Gärdenfors [24] more than fifteen years ago, can play in the current development of the Knowledge Level in Cognitive Systems and Architectures. In particular, we claim that Conceptual Spaces offer a lingua franca that allows to unify and generalize many aspects of the symbolic, sub-symbolic and diagrammatic approaches (by overcoming some of their typical problems) and to integrate them on a common ground. In doing so we extend and detail some of the arguments explored by Gärdenfors [23] for defending the need of a conceptual, intermediate, representation level between the symbolic and the sub-symbolic one. In particular we focus on the advantages offered by Conceptual Spaces (w.r.t. symbolic and sub-symbolic approaches) in dealing with the problem of compositionality of representations based on typicality traits. Additionally, we argue that Conceptual Spaces could offer a unifying framework for interpreting many kinds of diagrammatic and analogical representations. As a consequence, their adoption could also favor the integration of diagrammatical representation and reasoning in CAs.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/28343999" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5c63f7fb2842aac6129f80e6de007d3a" rel="nofollow" data-download="{"attachment_id":49427212,"asset_id":28343999,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49427212/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="249872" href="https://salerno.academia.edu/AntonioLieto">Antonio Lieto</a><script data-card-contents-for-user="249872" type="text/json">{"id":249872,"first_name":"Antonio","last_name":"Lieto","domain_name":"salerno","page_name":"AntonioLieto","display_name":"Antonio Lieto","profile_url":"https://salerno.academia.edu/AntonioLieto?f_ri=5656","photo":"https://0.academia-photos.com/249872/53803/12527748/s65_antonio.lieto.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-28343999">+1</span><div class="hidden js-additional-users-28343999"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://unige-it.academia.edu/marcellofrixione">marcello frixione</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-28343999'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-28343999').html(); 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Some of them (e.g. SOAR [35]) adopt a classical symbolic approach, some (e.g. LEABRA[48]) are based on a purely con-nectionist model, while others (e.g. CLARION [59]) adopt a hybrid approach combining connectionist and symbolic representational levels. Additionally, some attempts (e.g. biSOAR) trying to extend the representational capacities of CAs by integrating diagrammatical representations and reasoning are also available [34]. In this paper we propose a reflection on the role that Conceptual Spaces, a framework developed by Peter Gärdenfors [24] more than fifteen years ago, can play in the current development of the Knowledge Level in Cognitive Systems and Architectures. In particular, we claim that Conceptual Spaces offer a lingua franca that allows to unify and generalize many aspects of the symbolic, sub-symbolic and diagrammatic approaches (by overcoming some of their typical problems) and to integrate them on a common ground. In doing so we extend and detail some of the arguments explored by Gärdenfors [23] for defending the need of a conceptual, intermediate, representation level between the symbolic and the sub-symbolic one. In particular we focus on the advantages offered by Conceptual Spaces (w.r.t. symbolic and sub-symbolic approaches) in dealing with the problem of compositionality of representations based on typicality traits. Additionally, we argue that Conceptual Spaces could offer a unifying framework for interpreting many kinds of diagrammatic and analogical representations. 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Compositionality","url":"https://www.academia.edu/Documents/in/Semantic_Compositionality?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_7105795" data-work_id="7105795" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/7105795/Personalized_e_learning_system_using_learner_profile_ontology_and_sequential_pattern_mining_based_recommendation">Personalized e-learning system using learner profile ontology and sequential pattern mining-based recommendation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">E –learning is a method of learning that is delivered via electronic technology. Most of the E – Learning systems do not consider the individual aspects of the students ignoring the various requirements of the learners. Personalization... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_7105795" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">E –learning is a method of learning that is delivered via electronic technology. Most of the E – Learning systems do not consider the individual aspects of the students ignoring the various requirements of  the learners. Personalization is widely used in various fields to provide users with more suitable and personalized service. Personalization of E – Learning system is a method of improving the existing learning system to satisfy the requirements of the different users / learners. Success of E- Leaning system rests on the effective usage of the system by the instructors and the student. This paper suggests a method for personalizing the E _ learning system using learner profile and sequential pattern mining based recommendation.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/7105795" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4835d9771acb9e058900fd002c9aa28d" rel="nofollow" data-download="{"attachment_id":33748475,"asset_id":7105795,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/33748475/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="5570475" href="https://asdf.academia.edu/AdminASDF">Admin ASDF</a><script data-card-contents-for-user="5570475" type="text/json">{"id":5570475,"first_name":"Admin","last_name":"ASDF","domain_name":"asdf","page_name":"AdminASDF","display_name":"Admin ASDF","profile_url":"https://asdf.academia.edu/AdminASDF?f_ri=5656","photo":"https://0.academia-photos.com/5570475/2464622/3284981/s65_admin.asdf.jpg"}</script></span></span></li><li class="js-paper-rank-work_7105795 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="7105795"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 7105795, container: ".js-paper-rank-work_7105795", }); });</script></li><li class="js-percentile-work_7105795 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 7105795; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_7105795"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_7105795 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="7105795"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7105795; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=7105795]").text(description); $(".js-view-count-work_7105795").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_7105795").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="7105795"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="5656" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-machine_Systems">Human-machine Systems</a>, <script data-card-contents-for-ri="5656" type="text/json">{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="66003" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-Machine_Interaction">Human-Machine Interaction</a>, <script data-card-contents-for-ri="66003" type="text/json">{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="777452" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_machine">Human machine</a><script data-card-contents-for-ri="777452" type="text/json">{"id":777452,"name":"Human machine","url":"https://www.academia.edu/Documents/in/Human_machine?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=7105795]'), work: {"id":7105795,"title":"Personalized e-learning system using learner profile ontology and sequential pattern mining-based recommendation","created_at":"2014-05-20T12:27:00.627-07:00","url":"https://www.academia.edu/7105795/Personalized_e_learning_system_using_learner_profile_ontology_and_sequential_pattern_mining_based_recommendation?f_ri=5656","dom_id":"work_7105795","summary":"E –learning is a method of learning that is delivered via electronic technology. Most of the E – Learning systems do not consider the individual aspects of the students ignoring the various requirements of the learners. Personalization is widely used in various fields to provide users with more suitable and personalized service. Personalization of E – Learning system is a method of improving the existing learning system to satisfy the requirements of the different users / learners. Success of E- Leaning system rests on the effective usage of the system by the instructors and the student. This paper suggests a method for personalizing the E _ learning system using learner profile and sequential pattern mining based recommendation.","downloadable_attachments":[{"id":33748475,"asset_id":7105795,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":5570475,"first_name":"Admin","last_name":"ASDF","domain_name":"asdf","page_name":"AdminASDF","display_name":"Admin ASDF","profile_url":"https://asdf.academia.edu/AdminASDF?f_ri=5656","photo":"https://0.academia-photos.com/5570475/2464622/3284981/s65_admin.asdf.jpg"}],"research_interests":[{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656","nofollow":true},{"id":777452,"name":"Human machine","url":"https://www.academia.edu/Documents/in/Human_machine?f_ri=5656","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_56606435" data-work_id="56606435" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/56606435/Reflecting_on_the_Musicality_of_Machine_Learning_based_Music_Generators_in_Real_Time_Jazz_Improvisation_A_case_study_of_OMax_ImproteK_Djazz">Reflecting on the Musicality of Machine Learning based Music Generators in Real-Time Jazz Improvisation: A case study of OMax-ImproteK-Djazz</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This work looks at improvisations produced by the OMax, ImproteK, and Djazz ML generators, through the lens of the elements of music and suggests a musically-oriented evaluation methodology. This idiomatic music analysis is presented from... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_56606435" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This work looks at improvisations produced by the OMax, ImproteK, and Djazz ML generators, through the lens of the elements of music and suggests a musically-oriented evaluation methodology. This idiomatic music analysis is presented from a jazz performer's point of view, reflecting upon cognitive foundations of emotion and meaning. The analysis, based mainly on the evaluation of already published material and on the authors' own experiments, shows musical drawbacks in terms of tension and release of the resulting melodic lines, voice leading of chords, rhythm, groove, dynamic control, and structure.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/56606435" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d3e4fd73b1d3e54d7c778ed8e8d0b194" rel="nofollow" data-download="{"attachment_id":101081053,"asset_id":56606435,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/101081053/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="15268437" href="https://uoa.academia.edu/DimitriSmailis">Dimitri Smailis</a><script data-card-contents-for-user="15268437" type="text/json">{"id":15268437,"first_name":"Dimitri","last_name":"Smailis","domain_name":"uoa","page_name":"DimitriSmailis","display_name":"Dimitri Smailis","profile_url":"https://uoa.academia.edu/DimitriSmailis?f_ri=5656","photo":"https://0.academia-photos.com/15268437/117022006/106321351/s65_dimitri.smailis.jpeg"}</script></span></span></li><li class="js-paper-rank-work_56606435 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="56606435"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 56606435, container: ".js-paper-rank-work_56606435", }); });</script></li><li class="js-percentile-work_56606435 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 56606435; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_56606435"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_56606435 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="56606435"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 56606435; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=56606435]").text(description); $(".js-view-count-work_56606435").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_56606435").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="56606435"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">18</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="465" rel="nofollow" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a>, <script data-card-contents-for-ri="465" type="text/json">{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="682" rel="nofollow" href="https://www.academia.edu/Documents/in/Jazz_Studies_And_New_Media">Jazz Studies And New Media</a>, <script data-card-contents-for-ri="682" type="text/json">{"id":682,"name":"Jazz Studies And New Media","url":"https://www.academia.edu/Documents/in/Jazz_Studies_And_New_Media?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="922" rel="nofollow" href="https://www.academia.edu/Documents/in/Education">Education</a>, <script data-card-contents-for-ri="922" type="text/json">{"id":922,"name":"Education","url":"https://www.academia.edu/Documents/in/Education?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2008" rel="nofollow" href="https://www.academia.edu/Documents/in/Machine_Learning">Machine Learning</a><script data-card-contents-for-ri="2008" type="text/json">{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=56606435]'), work: {"id":56606435,"title":"Reflecting on the Musicality of Machine Learning based Music Generators in Real-Time Jazz Improvisation: A case study of OMax-ImproteK-Djazz","created_at":"2021-10-08T10:03:54.324-07:00","url":"https://www.academia.edu/56606435/Reflecting_on_the_Musicality_of_Machine_Learning_based_Music_Generators_in_Real_Time_Jazz_Improvisation_A_case_study_of_OMax_ImproteK_Djazz?f_ri=5656","dom_id":"work_56606435","summary":"This work looks at improvisations produced by the OMax, ImproteK, and Djazz ML generators, through the lens of the elements of music and suggests a musically-oriented evaluation methodology. This idiomatic music analysis is presented from a jazz performer's point of view, reflecting upon cognitive foundations of emotion and meaning. The analysis, based mainly on the evaluation of already published material and on the authors' own experiments, shows musical drawbacks in terms of tension and release of the resulting melodic lines, voice leading of chords, rhythm, groove, dynamic control, and structure.","downloadable_attachments":[{"id":101081053,"asset_id":56606435,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":15268437,"first_name":"Dimitri","last_name":"Smailis","domain_name":"uoa","page_name":"DimitriSmailis","display_name":"Dimitri Smailis","profile_url":"https://uoa.academia.edu/DimitriSmailis?f_ri=5656","photo":"https://0.academia-photos.com/15268437/117022006/106321351/s65_dimitri.smailis.jpeg"}],"research_interests":[{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true},{"id":682,"name":"Jazz Studies And New Media","url":"https://www.academia.edu/Documents/in/Jazz_Studies_And_New_Media?f_ri=5656","nofollow":true},{"id":922,"name":"Education","url":"https://www.academia.edu/Documents/in/Education?f_ri=5656","nofollow":true},{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=5656","nofollow":true},{"id":2337,"name":"Performance Studies","url":"https://www.academia.edu/Documents/in/Performance_Studies?f_ri=5656"},{"id":5463,"name":"Performance Art","url":"https://www.academia.edu/Documents/in/Performance_Art?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":17223,"name":"Jazz Studies","url":"https://www.academia.edu/Documents/in/Jazz_Studies?f_ri=5656"},{"id":27619,"name":"Jazz Improvisation","url":"https://www.academia.edu/Documents/in/Jazz_Improvisation?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":77100,"name":"Live Electronic Music","url":"https://www.academia.edu/Documents/in/Live_Electronic_Music?f_ri=5656"},{"id":138345,"name":"Music + Electronics + Live + Interactive","url":"https://www.academia.edu/Documents/in/Music_Electronics_Live_Interactive?f_ri=5656"},{"id":139577,"name":"Jazz, Music Cognition, Improvisation, Neurology of Music, Neurology","url":"https://www.academia.edu/Documents/in/Jazz_Music_Cognition_Improvisation_Neurology_of_Music_Neurology?f_ri=5656"},{"id":143582,"name":"Live Electronics","url":"https://www.academia.edu/Documents/in/Live_Electronics?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":479610,"name":"Live Music Performance Research","url":"https://www.academia.edu/Documents/in/Live_Music_Performance_Research?f_ri=5656"},{"id":994803,"name":"Performance/live Art","url":"https://www.academia.edu/Documents/in/Performance_live_Art?f_ri=5656"},{"id":1679412,"name":"Human-Machine Communication","url":"https://www.academia.edu/Documents/in/Human-Machine_Communication?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_49537761" data-work_id="49537761" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/49537761/Pragmatic_Ethics_for_Generative_Adversarial_Networks_Coupling_Cyborgs_and_Machine_Learning">Pragmatic Ethics for Generative Adversarial Networks: Coupling, Cyborgs, and Machine Learning</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This article addresses the need for adaptive ethical analysis within machine learning that accounts for emerging problems concerning social bias and generative adversarial networks (gan s). I use John Dewey's criticisms of the reflex arc... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_49537761" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This article addresses the need for adaptive ethical analysis within machine learning that accounts for emerging problems concerning social bias and generative adversarial networks (gan s). I use John Dewey's criticisms of the reflex arc concept in psychology as a basis for understanding how these problems stem from human-gan interaction. By combining Dewey's criticisms with Donna Haraway's idea of cyborgs, Luciano Floridi's concept of distributed morality, and Shaowen Bardzell's recommendations for a feminist approach to human-computer interaction, I suggest a dynamic perspective from which to begin analyzing and solving issues of injustice evident in this particular domain of machine learning.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/49537761" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="bb829937da6c1ec4ed00c8f856d35410" rel="nofollow" data-download="{"attachment_id":67868066,"asset_id":49537761,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/67868066/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1133734" href="https://pvamu.academia.edu/MarkTschaepe">Mark Tschaepe</a><script data-card-contents-for-user="1133734" type="text/json">{"id":1133734,"first_name":"Mark","last_name":"Tschaepe","domain_name":"pvamu","page_name":"MarkTschaepe","display_name":"Mark Tschaepe","profile_url":"https://pvamu.academia.edu/MarkTschaepe?f_ri=5656","photo":"https://0.academia-photos.com/1133734/397523/85953986/s65_mark.tschaepe.jpg"}</script></span></span></li><li class="js-paper-rank-work_49537761 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="49537761"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 49537761, container: ".js-paper-rank-work_49537761", }); 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$(".js-view-count[data-work-id=49537761]").text(description); $(".js-view-count-work_49537761").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_49537761").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="49537761"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">17</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="814" rel="nofollow" href="https://www.academia.edu/Documents/in/Ethics">Ethics</a>, <script data-card-contents-for-ri="814" type="text/json">{"id":814,"name":"Ethics","url":"https://www.academia.edu/Documents/in/Ethics?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="855" rel="nofollow" href="https://www.academia.edu/Documents/in/Philosophy_of_Technology">Philosophy of Technology</a>, <script data-card-contents-for-ri="855" type="text/json">{"id":855,"name":"Philosophy of Technology","url":"https://www.academia.edu/Documents/in/Philosophy_of_Technology?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="893" rel="nofollow" href="https://www.academia.edu/Documents/in/Pragmatism">Pragmatism</a>, <script data-card-contents-for-ri="893" type="text/json">{"id":893,"name":"Pragmatism","url":"https://www.academia.edu/Documents/in/Pragmatism?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="923" rel="nofollow" href="https://www.academia.edu/Documents/in/Technology">Technology</a><script data-card-contents-for-ri="923" type="text/json">{"id":923,"name":"Technology","url":"https://www.academia.edu/Documents/in/Technology?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=49537761]'), work: {"id":49537761,"title":"Pragmatic Ethics for Generative Adversarial Networks: Coupling, Cyborgs, and Machine Learning","created_at":"2021-07-04T08:16:12.235-07:00","url":"https://www.academia.edu/49537761/Pragmatic_Ethics_for_Generative_Adversarial_Networks_Coupling_Cyborgs_and_Machine_Learning?f_ri=5656","dom_id":"work_49537761","summary":"This article addresses the need for adaptive ethical analysis within machine learning that accounts for emerging problems concerning social bias and generative adversarial networks (gan s). I use John Dewey's criticisms of the reflex arc concept in psychology as a basis for understanding how these problems stem from human-gan interaction. By combining Dewey's criticisms with Donna Haraway's idea of cyborgs, Luciano Floridi's concept of distributed morality, and Shaowen Bardzell's recommendations for a feminist approach to human-computer interaction, I suggest a dynamic perspective from which to begin analyzing and solving issues of injustice evident in this particular domain of machine learning.","downloadable_attachments":[{"id":67868066,"asset_id":49537761,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1133734,"first_name":"Mark","last_name":"Tschaepe","domain_name":"pvamu","page_name":"MarkTschaepe","display_name":"Mark Tschaepe","profile_url":"https://pvamu.academia.edu/MarkTschaepe?f_ri=5656","photo":"https://0.academia-photos.com/1133734/397523/85953986/s65_mark.tschaepe.jpg"}],"research_interests":[{"id":814,"name":"Ethics","url":"https://www.academia.edu/Documents/in/Ethics?f_ri=5656","nofollow":true},{"id":855,"name":"Philosophy of Technology","url":"https://www.academia.edu/Documents/in/Philosophy_of_Technology?f_ri=5656","nofollow":true},{"id":893,"name":"Pragmatism","url":"https://www.academia.edu/Documents/in/Pragmatism?f_ri=5656","nofollow":true},{"id":923,"name":"Technology","url":"https://www.academia.edu/Documents/in/Technology?f_ri=5656","nofollow":true},{"id":1192,"name":"Feminist Theory","url":"https://www.academia.edu/Documents/in/Feminist_Theory?f_ri=5656"},{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":14589,"name":"John Dewey","url":"https://www.academia.edu/Documents/in/John_Dewey?f_ri=5656"},{"id":40329,"name":"Donna Haraway","url":"https://www.academia.edu/Documents/in/Donna_Haraway?f_ri=5656"},{"id":54123,"name":"Artificial Neural Networks","url":"https://www.academia.edu/Documents/in/Artificial_Neural_Networks?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":83952,"name":"Morality","url":"https://www.academia.edu/Documents/in/Morality?f_ri=5656"},{"id":103200,"name":"Social Injustice","url":"https://www.academia.edu/Documents/in/Social_Injustice?f_ri=5656"},{"id":141778,"name":"Ethics of Emerging Technologies","url":"https://www.academia.edu/Documents/in/Ethics_of_Emerging_Technologies?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":168614,"name":"Cyborgs","url":"https://www.academia.edu/Documents/in/Cyborgs?f_ri=5656"},{"id":2923414,"name":"generative adversarial networks (GANs)","url":"https://www.academia.edu/Documents/in/generative_adversarial_networks_GANs_?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_40923710 coauthored" data-work_id="40923710" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/40923710/Team_Design_Patterns">Team Design Patterns</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper introduces the concept of team design patterns and proposes an intuitive graphical language for describing the design choices that influence how intelligent systems (e.g. artificial intelligence, robotics, etc.) collaborate... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_40923710" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper introduces the concept of team design patterns and proposes an intuitive graphical language for describing the design choices that influence how intelligent systems (e.g. artificial intelligence, robotics, etc.) collaborate with humans. We build on the notion of design patterns and characterize important dimensions within human-agent teamwork. These dimensions are represented using a simple, intuitive graphical iconic language. The simplicity of the language allows easier expression, sharing and comparison of human-agent teaming concepts. Having such a language has the potential to improve the collaborative interaction among a variety of stakeholders such as end users, project managers, policy makers and programmers that may not be human-agent teamwork experts themselves. We also introduce an ontology and specification formalization that will allow translation of the simple iconic language into more precise definitions. By expressing the essential elements of teaming patterns in precisely defined abstract team design patterns, we provide a foundation that will enable working towards a library of reusable, proven solutions for human-agent teamwork.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/40923710" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3eb92fd45049d9ecba3da22e1f4bb358" rel="nofollow" data-download="{"attachment_id":61212143,"asset_id":40923710,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/61212143/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="33365375" href="https://tno.academia.edu/JurriaanvanDiggelen">Jurriaan van Diggelen</a><script data-card-contents-for-user="33365375" type="text/json">{"id":33365375,"first_name":"Jurriaan","last_name":"van Diggelen","domain_name":"tno","page_name":"JurriaanvanDiggelen","display_name":"Jurriaan van Diggelen","profile_url":"https://tno.academia.edu/JurriaanvanDiggelen?f_ri=5656","photo":"/images/s65_no_pic.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-40923710">+1</span><div class="hidden js-additional-users-40923710"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/MattJohnson46">Matt Johnson</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-40923710'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-40923710').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_40923710 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="40923710"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 40923710, container: ".js-paper-rank-work_40923710", }); });</script></li><li class="js-percentile-work_40923710 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 40923710; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_40923710"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_40923710 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="40923710"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 40923710; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=40923710]").text(description); $(".js-view-count-work_40923710").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_40923710").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="40923710"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="5656" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-machine_Systems">Human-machine Systems</a><script data-card-contents-for-ri="5656" type="text/json">{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=40923710]'), work: {"id":40923710,"title":"Team Design Patterns","created_at":"2019-11-14T00:38:52.195-08:00","url":"https://www.academia.edu/40923710/Team_Design_Patterns?f_ri=5656","dom_id":"work_40923710","summary":"This paper introduces the concept of team design patterns and proposes an intuitive graphical language for describing the design choices that influence how intelligent systems (e.g. artificial intelligence, robotics, etc.) collaborate with humans. We build on the notion of design patterns and characterize important dimensions within human-agent teamwork. These dimensions are represented using a simple, intuitive graphical iconic language. The simplicity of the language allows easier expression, sharing and comparison of human-agent teaming concepts. Having such a language has the potential to improve the collaborative interaction among a variety of stakeholders such as end users, project managers, policy makers and programmers that may not be human-agent teamwork experts themselves. We also introduce an ontology and specification formalization that will allow translation of the simple iconic language into more precise definitions. By expressing the essential elements of teaming patterns in precisely defined abstract team design patterns, we provide a foundation that will enable working towards a library of reusable, proven solutions for human-agent teamwork.","downloadable_attachments":[{"id":61212143,"asset_id":40923710,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":33365375,"first_name":"Jurriaan","last_name":"van Diggelen","domain_name":"tno","page_name":"JurriaanvanDiggelen","display_name":"Jurriaan van Diggelen","profile_url":"https://tno.academia.edu/JurriaanvanDiggelen?f_ri=5656","photo":"/images/s65_no_pic.png"},{"id":32984393,"first_name":"Matt","last_name":"Johnson","domain_name":"independent","page_name":"MattJohnson46","display_name":"Matt Johnson","profile_url":"https://independent.academia.edu/MattJohnson46?f_ri=5656","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_28456113" data-work_id="28456113" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/28456113/The_Messages_of_Mute_Machines_Human_Machine_Communication_with_Industrial_Technologies">The Messages of Mute Machines: Human- Machine Communication with Industrial Technologies</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This essay argues for the designation of industrial and manufacturing machines as technologies of communication. Within communication scholarship, ICTs are synonymous with the word technology. Many of our theories regarding technology are... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_28456113" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This essay argues for the designation of industrial and manufacturing machines as technologies of communication. Within communication scholarship, ICTs are synonymous with the word technology. Many of our theories regarding technology are based on human interaction with and through ICTs. However, ICTs are not the only technologies involved in communication. Drawing on scholarship from media studies, human-machine communication, and science and technology studies, I demonstrate how people’s interactions with “mute” technologies constitute communication. Industrial processes could not occur without the exchange of information between human and machine, and these industrial “rituals” between human and machine produce a particular reality for the worker and the organization. I argue that to understand communication in a machine culture in which people are constantly interacting with a variety of technologies, communication scholars must begin to study the multiplicity of machines and devices that are part of our lives.<br /><br />Full issue: <a href="http://scholarworks.umass.edu/cpo/vol5/iss1/4" rel="nofollow">http://scholarworks.umass.edu/cpo/vol5/iss1/4</a></div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/28456113" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="0a8673b773d710db98ca1b72975bf83c" rel="nofollow" data-download="{"attachment_id":48805257,"asset_id":28456113,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48805257/download_file?st=MTc0MDY2MTQ4NSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21855589" href="https://niu.academia.edu/AndreaGuzman">Andrea L Guzman</a><script data-card-contents-for-user="21855589" type="text/json">{"id":21855589,"first_name":"Andrea","last_name":"Guzman","domain_name":"niu","page_name":"AndreaGuzman","display_name":"Andrea L Guzman","profile_url":"https://niu.academia.edu/AndreaGuzman?f_ri=5656","photo":"https://0.academia-photos.com/21855589/6011332/6820968/s65_andrea_l..guzman.jpg"}</script></span></span></li><li class="js-paper-rank-work_28456113 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="28456113"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 28456113, container: ".js-paper-rank-work_28456113", }); 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$(".js-view-count[data-work-id=28456113]").text(description); $(".js-view-count-work_28456113").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_28456113").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="28456113"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">11</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="77" rel="nofollow" href="https://www.academia.edu/Documents/in/Robotics">Robotics</a>, <script data-card-contents-for-ri="77" type="text/json">{"id":77,"name":"Robotics","url":"https://www.academia.edu/Documents/in/Robotics?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="465" rel="nofollow" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a>, <script data-card-contents-for-ri="465" type="text/json">{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="472" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_Computer_Interaction">Human Computer Interaction</a>, <script data-card-contents-for-ri="472" type="text/json">{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="859" rel="nofollow" href="https://www.academia.edu/Documents/in/Communication">Communication</a><script data-card-contents-for-ri="859" type="text/json">{"id":859,"name":"Communication","url":"https://www.academia.edu/Documents/in/Communication?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=28456113]'), work: {"id":28456113,"title":"The Messages of Mute Machines: Human- Machine Communication with Industrial Technologies","created_at":"2016-09-13T10:16:13.162-07:00","url":"https://www.academia.edu/28456113/The_Messages_of_Mute_Machines_Human_Machine_Communication_with_Industrial_Technologies?f_ri=5656","dom_id":"work_28456113","summary":"This essay argues for the designation of industrial and manufacturing machines as technologies of communication. Within communication scholarship, ICTs are synonymous with the word technology. Many of our theories regarding technology are based on human interaction with and through ICTs. However, ICTs are not the only technologies involved in communication. Drawing on scholarship from media studies, human-machine communication, and science and technology studies, I demonstrate how people’s interactions with “mute” technologies constitute communication. Industrial processes could not occur without the exchange of information between human and machine, and these industrial “rituals” between human and machine produce a particular reality for the worker and the organization. I argue that to understand communication in a machine culture in which people are constantly interacting with a variety of technologies, communication scholars must begin to study the multiplicity of machines and devices that are part of our lives.\n\nFull issue: http://scholarworks.umass.edu/cpo/vol5/iss1/4","downloadable_attachments":[{"id":48805257,"asset_id":28456113,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21855589,"first_name":"Andrea","last_name":"Guzman","domain_name":"niu","page_name":"AndreaGuzman","display_name":"Andrea L Guzman","profile_url":"https://niu.academia.edu/AndreaGuzman?f_ri=5656","photo":"https://0.academia-photos.com/21855589/6011332/6820968/s65_andrea_l..guzman.jpg"}],"research_interests":[{"id":77,"name":"Robotics","url":"https://www.academia.edu/Documents/in/Robotics?f_ri=5656","nofollow":true},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=5656","nofollow":true},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=5656","nofollow":true},{"id":859,"name":"Communication","url":"https://www.academia.edu/Documents/in/Communication?f_ri=5656","nofollow":true},{"id":928,"name":"Media Studies","url":"https://www.academia.edu/Documents/in/Media_Studies?f_ri=5656"},{"id":994,"name":"Journalism","url":"https://www.academia.edu/Documents/in/Journalism?f_ri=5656"},{"id":2979,"name":"Manufacturing","url":"https://www.academia.edu/Documents/in/Manufacturing?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":14305,"name":"Industrial Engineering","url":"https://www.academia.edu/Documents/in/Industrial_Engineering?f_ri=5656"},{"id":551798,"name":"Industrial Robotics","url":"https://www.academia.edu/Documents/in/Industrial_Robotics?f_ri=5656"},{"id":1679412,"name":"Human-Machine Communication","url":"https://www.academia.edu/Documents/in/Human-Machine_Communication?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1119046" data-work_id="1119046" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1119046/Modeling_Human_Behaviour_in_Emergency_A_Research_Agenda_for_the_Creation_of_a_Rescue_Robot">Modeling Human Behaviour in Emergency: A Research Agenda for the Creation of a Rescue Robot</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The development of an artificial agent-driven rescue robot capable of interacting naturally with humans under urban emergency conditions brings out a number of issues that need to be addressed: among these are (i) providing a full... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1119046" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The development of an artificial agent-driven rescue robot capable of interacting naturally with humans under urban emergency conditions brings out a number of issues that need to be addressed: among these are (i) providing a full description and understanding of the user's perspective, and thus creating a reliable and functional user model, (ii) addressing the question of appearance and design, including the interface to be implemented, and (iii) evaluating the reliability and credibility of such a robot under conditions of panic, both in terms of group and personal panic reactions to stressful, extreme conditions. This article addresses these topics with a set of suggestions for future research in the field. In particular, we propose a research agenda focused on the appearance of the humanoid agent, and its trustworthiness under circumstances of panic in emergency situations, together with suggestions for experiments aimed at informing a user model of crowd and individual behaviour in emergency situations.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1119046" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="0df36ca2e0bd5c4e3a9cd76d2549ef01" rel="nofollow" data-download="{"attachment_id":8014495,"asset_id":1119046,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/8014495/download_file?st=MTc0MDY2MTQ4Niw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="577074" href="https://unipv.academia.edu/NiclaRossini">Nicla Rossini</a><script data-card-contents-for-user="577074" type="text/json">{"id":577074,"first_name":"Nicla","last_name":"Rossini","domain_name":"unipv","page_name":"NiclaRossini","display_name":"Nicla Rossini","profile_url":"https://unipv.academia.edu/NiclaRossini?f_ri=5656","photo":"https://0.academia-photos.com/577074/205303/239590/s65_nicla.rossini.jpg"}</script></span></span></li><li class="js-paper-rank-work_1119046 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1119046"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1119046, container: ".js-paper-rank-work_1119046", }); 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$(".js-view-count[data-work-id=1119046]").text(description); $(".js-view-count-work_1119046").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1119046").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="1119046"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">29</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="77" rel="nofollow" href="https://www.academia.edu/Documents/in/Robotics">Robotics</a>, <script data-card-contents-for-ri="77" type="text/json">{"id":77,"name":"Robotics","url":"https://www.academia.edu/Documents/in/Robotics?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="254" rel="nofollow" href="https://www.academia.edu/Documents/in/Emotion">Emotion</a>, <script data-card-contents-for-ri="254" type="text/json">{"id":254,"name":"Emotion","url":"https://www.academia.edu/Documents/in/Emotion?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="931" rel="nofollow" href="https://www.academia.edu/Documents/in/Interpersonal_Communication">Interpersonal Communication</a>, <script data-card-contents-for-ri="931" type="text/json">{"id":931,"name":"Interpersonal Communication","url":"https://www.academia.edu/Documents/in/Interpersonal_Communication?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1233" rel="nofollow" href="https://www.academia.edu/Documents/in/Social_Networks">Social Networks</a><script data-card-contents-for-ri="1233" type="text/json">{"id":1233,"name":"Social Networks","url":"https://www.academia.edu/Documents/in/Social_Networks?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=1119046]'), work: {"id":1119046,"title":"Modeling Human Behaviour in Emergency: A Research Agenda for the Creation of a Rescue Robot","created_at":"2011-11-27T06:27:20.614-08:00","url":"https://www.academia.edu/1119046/Modeling_Human_Behaviour_in_Emergency_A_Research_Agenda_for_the_Creation_of_a_Rescue_Robot?f_ri=5656","dom_id":"work_1119046","summary":"The development of an artificial agent-driven rescue robot capable of interacting naturally with humans under urban emergency conditions brings out a number of issues that need to be addressed: among these are (i) providing a full description and understanding of the user's perspective, and thus creating a reliable and functional user model, (ii) addressing the question of appearance and design, including the interface to be implemented, and (iii) evaluating the reliability and credibility of such a robot under conditions of panic, both in terms of group and personal panic reactions to stressful, extreme conditions. This article addresses these topics with a set of suggestions for future research in the field. In particular, we propose a research agenda focused on the appearance of the humanoid agent, and its trustworthiness under circumstances of panic in emergency situations, together with suggestions for experiments aimed at informing a user model of crowd and individual behaviour in emergency situations.","downloadable_attachments":[{"id":8014495,"asset_id":1119046,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":577074,"first_name":"Nicla","last_name":"Rossini","domain_name":"unipv","page_name":"NiclaRossini","display_name":"Nicla Rossini","profile_url":"https://unipv.academia.edu/NiclaRossini?f_ri=5656","photo":"https://0.academia-photos.com/577074/205303/239590/s65_nicla.rossini.jpg"}],"research_interests":[{"id":77,"name":"Robotics","url":"https://www.academia.edu/Documents/in/Robotics?f_ri=5656","nofollow":true},{"id":254,"name":"Emotion","url":"https://www.academia.edu/Documents/in/Emotion?f_ri=5656","nofollow":true},{"id":931,"name":"Interpersonal Communication","url":"https://www.academia.edu/Documents/in/Interpersonal_Communication?f_ri=5656","nofollow":true},{"id":1233,"name":"Social Networks","url":"https://www.academia.edu/Documents/in/Social_Networks?f_ri=5656","nofollow":true},{"id":1385,"name":"User Modeling","url":"https://www.academia.edu/Documents/in/User_Modeling?f_ri=5656"},{"id":1689,"name":"Autonomous Cognitive Agents","url":"https://www.academia.edu/Documents/in/Autonomous_Cognitive_Agents?f_ri=5656"},{"id":2089,"name":"Social Identity","url":"https://www.academia.edu/Documents/in/Social_Identity?f_ri=5656"},{"id":3167,"name":"Disaster Studies","url":"https://www.academia.edu/Documents/in/Disaster_Studies?f_ri=5656"},{"id":4420,"name":"Embodied Cognition","url":"https://www.academia.edu/Documents/in/Embodied_Cognition?f_ri=5656"},{"id":5337,"name":"Agent Based Simulation","url":"https://www.academia.edu/Documents/in/Agent_Based_Simulation?f_ri=5656"},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":7406,"name":"Agent Based","url":"https://www.academia.edu/Documents/in/Agent_Based?f_ri=5656"},{"id":9456,"name":"Emotions (Social Psychology)","url":"https://www.academia.edu/Documents/in/Emotions_Social_Psychology_?f_ri=5656"},{"id":11832,"name":"Nonverbal Communication","url":"https://www.academia.edu/Documents/in/Nonverbal_Communication?f_ri=5656"},{"id":12650,"name":"Intelligent User Interface Agents","url":"https://www.academia.edu/Documents/in/Intelligent_User_Interface_Agents?f_ri=5656"},{"id":19566,"name":"Emergency Management","url":"https://www.academia.edu/Documents/in/Emergency_Management?f_ri=5656"},{"id":21556,"name":"Crowdsourcing","url":"https://www.academia.edu/Documents/in/Crowdsourcing?f_ri=5656"},{"id":35567,"name":"Body Language","url":"https://www.academia.edu/Documents/in/Body_Language?f_ri=5656"},{"id":53498,"name":"Crowds","url":"https://www.academia.edu/Documents/in/Crowds?f_ri=5656"},{"id":55794,"name":"Human Computation","url":"https://www.academia.edu/Documents/in/Human_Computation?f_ri=5656"},{"id":60352,"name":"Persuasive Technology","url":"https://www.academia.edu/Documents/in/Persuasive_Technology?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":76257,"name":"Crowd Psychology","url":"https://www.academia.edu/Documents/in/Crowd_Psychology?f_ri=5656"},{"id":90717,"name":"Crowd Behaviour and Psychology","url":"https://www.academia.edu/Documents/in/Crowd_Behaviour_and_Psychology?f_ri=5656"},{"id":111098,"name":"Search and Rescue","url":"https://www.academia.edu/Documents/in/Search_and_Rescue?f_ri=5656"},{"id":124862,"name":"Crowding","url":"https://www.academia.edu/Documents/in/Crowding?f_ri=5656"},{"id":240863,"name":"Mass Collaboration","url":"https://www.academia.edu/Documents/in/Mass_Collaboration?f_ri=5656"},{"id":465597,"name":"Crowd Panics, Human Stampedes ,social Psychology..","url":"https://www.academia.edu/Documents/in/Crowd_Panics_Human_Stampedes_social_Psychology.?f_ri=5656"},{"id":779062,"name":"Personal space","url":"https://www.academia.edu/Documents/in/Personal_space?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_34795117" data-work_id="34795117" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/34795117/%D0%9F%D1%80%D0%B8%D0%BC%D0%B5%D0%BD%D0%B5%D0%BD%D0%B8%D0%B5_%D0%BC%D0%B5%D1%82%D0%BE%D0%B4%D0%BE%D0%B2_%D0%BE%D0%BF%D0%B8%D1%81%D0%B0%D0%BD%D0%B8%D1%8F_%D0%B2%D0%B7%D0%B0%D0%B8%D0%BC%D0%BE%D0%B4%D0%B5%D0%B9%D1%81%D1%82%D0%B2%D0%B8%D1%8F_%D1%87%D0%B5%D0%BB%D0%BE%D0%B2%D0%B5%D0%BA%D0%B0_%D1%81_%D1%81%D0%B8%D1%81%D1%82%D0%B5%D0%BC%D0%BE%D0%B9_%D0%B2_%D0%B7%D0%B0%D0%B4%D0%B0%D1%87%D0%B0%D1%85_%D1%8D%D1%80%D0%B3%D0%BE%D0%BD%D0%BE%D0%BC%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%BE%D0%B9_%D0%BE%D1%86%D0%B5%D0%BD%D0%BA%D0%B8">Применение методов описания взаимодействия человека с системой в задачах эргономической оценки</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Предметом статьи является применение различных подходов к моделированию взаимодействия человека с системой при решении задач эргономической экспертизы. Выполнена классификация этих задач и известных методов моделирования взаимодействия... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_34795117" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Предметом статьи является применение различных подходов к моделированию взаимодействия человека с системой при решении задач эргономической экспертизы. Выполнена классификация этих задач и известных методов моделирования взаимодействия (деятельности) человека с системой. На простом примере показаны возможности и ограничения структурных методов моделирования деятельности, таких как обобщенный структурный метод, метод иерархического и табличного анализа задач. Показано, что метод структурного функционального анализа обладает большим потенциалом при решении эргономических задач. Демонстрируется, что ослабление степени формализации метода позволяет решать в ходе экспертизы творческие задачи, однако при этом существенно повышает зависимость результатов от квалификации и опыта эргономиста или эксперта предметной области.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/34795117" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="99069c4d16bf4d8660b4d5a1a55b998c" rel="nofollow" data-download="{"attachment_id":54654493,"asset_id":34795117,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/54654493/download_file?st=MTc0MDY2MTQ4Niw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8187127" href="https://independent.academia.edu/AlexeyAnokhin">Alexey Anokhin</a><script data-card-contents-for-user="8187127" type="text/json">{"id":8187127,"first_name":"Alexey","last_name":"Anokhin","domain_name":"independent","page_name":"AlexeyAnokhin","display_name":"Alexey Anokhin","profile_url":"https://independent.academia.edu/AlexeyAnokhin?f_ri=5656","photo":"https://0.academia-photos.com/8187127/2819598/3290508/s65__._.jpg"}</script></span></span></li><li class="js-paper-rank-work_34795117 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="34795117"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 34795117, container: ".js-paper-rank-work_34795117", }); 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Выполнена классификация этих задач и известных методов моделирования взаимодействия (деятельности) человека с системой. На простом примере показаны возможности и ограничения структурных методов моделирования деятельности, таких как обобщенный структурный метод, метод иерархического и табличного анализа задач. Показано, что метод структурного функционального анализа обладает большим потенциалом при решении эргономических задач. Демонстрируется, что ослабление степени формализации метода позволяет решать в ходе экспертизы творческие задачи, однако при этом существенно повышает зависимость результатов от квалификации и опыта эргономиста или эксперта предметной области.","downloadable_attachments":[{"id":54654493,"asset_id":34795117,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":8187127,"first_name":"Alexey","last_name":"Anokhin","domain_name":"independent","page_name":"AlexeyAnokhin","display_name":"Alexey Anokhin","profile_url":"https://independent.academia.edu/AlexeyAnokhin?f_ri=5656","photo":"https://0.academia-photos.com/8187127/2819598/3290508/s65__._.jpg"}],"research_interests":[{"id":1649,"name":"Ergonomics","url":"https://www.academia.edu/Documents/in/Ergonomics?f_ri=5656","nofollow":true},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true},{"id":1309679,"name":"Human Interaction With Systems","url":"https://www.academia.edu/Documents/in/Human_Interaction_With_Systems?f_ri=5656","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_44854553" data-work_id="44854553" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/44854553/Adaptive_Human_Robot_Interactions_for_Multiple_Unmanned_Aerial_Vehicles">Adaptive Human-Robot Interactions for Multiple Unmanned Aerial Vehicles</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Advances in unmanned aircraft systems (UAS) have paved the way for progressively higher levels of intelligence and autonomy, supporting new modes of operation, such as the one-to-many (OTM) concept, where a single human operator is... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_44854553" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Advances in unmanned aircraft systems (UAS) have paved the way for progressively higher levels of intelligence and autonomy, supporting new modes of operation, such as the one-to-many (OTM) concept, where a single human operator is responsible for monitoring and coordinating the tasks of multiple unmanned aerial vehicles (UAVs). This paper presents the development and evaluation of cognitive human-machine interfaces and interactions (CHMI 2) supporting adaptive automation in OTM applications. A CHMI 2 system comprises a network of neurophysiological sensors and machine-learning based models for inferring user cognitive states, as well as the adaptation engine containing a set of transition logics for control/display functions and discrete autonomy levels. Models of the user's cognitive states are trained on past performance and neurophysiological data during an offline calibration phase, and subsequently used in the online adaptation phase for real-time inference of these cognitive states. To investigate adaptive automation in OTM applications, a scenario involving bushfire detection was developed where a single human operator is responsible for tasking multiple UAV platforms to search for and localize bushfires over a wide area. We present the architecture and design of the UAS simulation environment that was developed, together with various human-machine interface (HMI) formats and functions, to evaluate the CHMI 2 system's feasibility through human-in-the-loop (HITL) experiments. The CHMI 2 module was subsequently integrated into the simulation environment, providing the sensing, inference, and adaptation capabilities needed to realise adaptive automation. HITL experiments were performed to verify the CHMI 2 module's functionalities in the offline calibration and online adaptation phases. In particular, results from the online adaptation phase showed that the system was able to support real-time inference and human-machine interface and interaction (HMI 2) adaptation. However, the accuracy of the inferred workload was variable across the different participants (with a root mean squared error (RMSE) ranging from 0.2 to 0.6), partly due to the reduced number of neurophysiological features available as real-time inputs and also due to limited training stages in the offline calibration phase. To improve the performance of the system, future work will investigate the use of alternative machine learning techniques, additional neurophysiological input features, and a more extensive training stage.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/44854553" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="6067abf9639ff3dd6327856915f9b2aa" rel="nofollow" data-download="{"attachment_id":65363238,"asset_id":44854553,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/65363238/download_file?st=MTc0MDY2MTQ4Niw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9093041" rel="nofollow" href="https://khalifa.academia.edu/RobertoSabatini">Roberto Sabatini</a><script data-card-contents-for-user="9093041" type="text/json">{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}</script></span></span></li><li class="js-paper-rank-work_44854553 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="44854553"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 44854553, container: ".js-paper-rank-work_44854553", }); 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This paper presents the development and evaluation of cognitive human-machine interfaces and interactions (CHMI 2) supporting adaptive automation in OTM applications. A CHMI 2 system comprises a network of neurophysiological sensors and machine-learning based models for inferring user cognitive states, as well as the adaptation engine containing a set of transition logics for control/display functions and discrete autonomy levels. Models of the user's cognitive states are trained on past performance and neurophysiological data during an offline calibration phase, and subsequently used in the online adaptation phase for real-time inference of these cognitive states. To investigate adaptive automation in OTM applications, a scenario involving bushfire detection was developed where a single human operator is responsible for tasking multiple UAV platforms to search for and localize bushfires over a wide area. We present the architecture and design of the UAS simulation environment that was developed, together with various human-machine interface (HMI) formats and functions, to evaluate the CHMI 2 system's feasibility through human-in-the-loop (HITL) experiments. The CHMI 2 module was subsequently integrated into the simulation environment, providing the sensing, inference, and adaptation capabilities needed to realise adaptive automation. HITL experiments were performed to verify the CHMI 2 module's functionalities in the offline calibration and online adaptation phases. In particular, results from the online adaptation phase showed that the system was able to support real-time inference and human-machine interface and interaction (HMI 2) adaptation. However, the accuracy of the inferred workload was variable across the different participants (with a root mean squared error (RMSE) ranging from 0.2 to 0.6), partly due to the reduced number of neurophysiological features available as real-time inputs and also due to limited training stages in the offline calibration phase. To improve the performance of the system, future work will investigate the use of alternative machine learning techniques, additional neurophysiological input features, and a more extensive training stage.","downloadable_attachments":[{"id":65363238,"asset_id":44854553,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9093041,"first_name":"Roberto","last_name":"Sabatini","domain_name":"khalifa","page_name":"RobertoSabatini","display_name":"Roberto Sabatini","profile_url":"https://khalifa.academia.edu/RobertoSabatini?f_ri=5656","photo":"https://0.academia-photos.com/9093041/4660850/17407129/s65_roberto.sabatini.jpg"}],"research_interests":[{"id":77,"name":"Robotics","url":"https://www.academia.edu/Documents/in/Robotics?f_ri=5656","nofollow":true},{"id":3641,"name":"Aeronautical Engineering","url":"https://www.academia.edu/Documents/in/Aeronautical_Engineering?f_ri=5656","nofollow":true},{"id":4892,"name":"Autonomous Robotics","url":"https://www.academia.edu/Documents/in/Autonomous_Robotics?f_ri=5656","nofollow":true},{"id":5476,"name":"Cyber-Physical Systems","url":"https://www.academia.edu/Documents/in/Cyber-Physical_Systems?f_ri=5656","nofollow":true},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656"},{"id":9586,"name":"Unmanned Aircraft Systems","url":"https://www.academia.edu/Documents/in/Unmanned_Aircraft_Systems?f_ri=5656"},{"id":12059,"name":"Human-Robot Interaction","url":"https://www.academia.edu/Documents/in/Human-Robot_Interaction?f_ri=5656"},{"id":12100,"name":"Aviation","url":"https://www.academia.edu/Documents/in/Aviation?f_ri=5656"},{"id":14668,"name":"Aerospace","url":"https://www.academia.edu/Documents/in/Aerospace?f_ri=5656"},{"id":36946,"name":"Neuroergonomics","url":"https://www.academia.edu/Documents/in/Neuroergonomics?f_ri=5656"},{"id":44890,"name":"Unmanned Aerial Vehicles","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicles?f_ri=5656"},{"id":62386,"name":"Avionics","url":"https://www.academia.edu/Documents/in/Avionics?f_ri=5656"},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656"},{"id":133350,"name":"Avionics Engineering","url":"https://www.academia.edu/Documents/in/Avionics_Engineering?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":159894,"name":"Autonomous Systems","url":"https://www.academia.edu/Documents/in/Autonomous_Systems?f_ri=5656"},{"id":181995,"name":"Aeronautics","url":"https://www.academia.edu/Documents/in/Aeronautics?f_ri=5656"},{"id":189027,"name":"Unmanned Aerial Vehicle (UAV)","url":"https://www.academia.edu/Documents/in/Unmanned_Aerial_Vehicle_UAV_?f_ri=5656"},{"id":238499,"name":"Aeronautics and Astronautics","url":"https://www.academia.edu/Documents/in/Aeronautics_and_Astronautics?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_26272033" data-work_id="26272033" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/26272033/%D0%90%D0%BD%D0%BE%D1%85%D0%B8%D0%BD_%D0%90_%D0%9D_%D0%9C%D0%B0%D1%88%D0%BA%D0%BE%D0%B2%D1%86%D0%B5%D0%B2%D0%B0_%D0%A0_%D0%98_%D0%90%D0%BD%D0%BE%D1%85%D0%B8%D0%BD_%D0%AE_%D0%9D_%D0%97%D0%B0%D1%85%D0%B0%D1%80%D0%BA%D0%B8%D0%B2_%D0%90_%D0%AE_%D0%A1%D0%B1%D0%BE%D1%80_%D0%B4%D0%B0%D0%BD%D0%BD%D1%8B%D1%85_%D0%BE_%D0%BD%D0%B0%D0%B4%D0%B5%D0%B6%D0%BD%D0%BE%D1%81%D1%82%D0%B8_%D0%B2%D1%8B%D0%BF%D0%BE%D0%BB%D0%BD%D0%B5%D0%BD%D0%B8%D1%8F_%D1%83%D0%BF%D1%80%D0%B0%D0%B2%D0%BB%D1%8F%D1%8E%D1%89%D0%B8%D1%85_%D0%B4%D0%B5%D0%B9%D1%81%D1%82%D0%B2%D0%B8%D0%B9_%D0%BE%D0%BF%D0%B5%D1%80%D0%B0%D1%82%D0%BE%D1%80%D0%BE%D0%BC_%D0%90%D0%A1%D0%A3_%D0%A2%D0%9F">Анохин А.Н., Машковцева Р.И. , Анохин Ю.Н. , Захаркив А.Ю. Сбор данных о надежности выполнения управляющих действий оператором АСУ ТП</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Описывается постановка эксперимента для сбора данных о надежности выполнения оператором управляющих воздействий с помощью интерактивных элементов экрана. Воздействие состоит в выборе оборудования на мнемосхеме, указания его целевого... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_26272033" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Описывается постановка эксперимента для сбора данных о надежности выполнения оператором управляющих воздействий с помощью интерактивных элементов экрана. Воздействие состоит в выборе оборудования на мнемосхеме, указания его целевого состояния (открыть-закрыть, включить-отключить) и активации выполнения команды. Испытуемый выполняет четыре упражнения, отличающиеся наличием или отсутствием обратной связи о состоянии оборудования, а также наложением отвлекающих вопросов. В ходе эксперимента регистрируются физиологические показатели – частота сердечных сокращений, частота дыхания и электрическое сопротивление кожи. Предварительные оценки показывают вероятность безошибочной работы в случае обеспечения оператора информационной обратной связью 0,99–0,998.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/26272033" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1c004c6965b1dc0fa36d5159145c0bc1" rel="nofollow" data-download="{"attachment_id":46586092,"asset_id":26272033,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/46586092/download_file?st=MTc0MDY2MTQ4Niw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8187127" href="https://independent.academia.edu/AlexeyAnokhin">Alexey Anokhin</a><script data-card-contents-for-user="8187127" type="text/json">{"id":8187127,"first_name":"Alexey","last_name":"Anokhin","domain_name":"independent","page_name":"AlexeyAnokhin","display_name":"Alexey Anokhin","profile_url":"https://independent.academia.edu/AlexeyAnokhin?f_ri=5656","photo":"https://0.academia-photos.com/8187127/2819598/3290508/s65__._.jpg"}</script></span></span></li><li class="js-paper-rank-work_26272033 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="26272033"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 26272033, container: ".js-paper-rank-work_26272033", }); 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$(".js-view-count[data-work-id=26272033]").text(description); $(".js-view-count-work_26272033").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_26272033").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="26272033"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">9</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="1649" rel="nofollow" href="https://www.academia.edu/Documents/in/Ergonomics">Ergonomics</a>, <script data-card-contents-for-ri="1649" type="text/json">{"id":1649,"name":"Ergonomics","url":"https://www.academia.edu/Documents/in/Ergonomics?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5656" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-machine_Systems">Human-machine Systems</a>, <script data-card-contents-for-ri="5656" type="text/json">{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="6540" rel="nofollow" href="https://www.academia.edu/Documents/in/Process_Control">Process Control</a>, <script data-card-contents-for-ri="6540" type="text/json">{"id":6540,"name":"Process Control","url":"https://www.academia.edu/Documents/in/Process_Control?f_ri=5656","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="66003" rel="nofollow" href="https://www.academia.edu/Documents/in/Human-Machine_Interaction">Human-Machine Interaction</a><script data-card-contents-for-ri="66003" type="text/json">{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=26272033]'), work: {"id":26272033,"title":"Анохин А.Н., Машковцева Р.И. , Анохин Ю.Н. , Захаркив А.Ю. Сбор данных о надежности выполнения управляющих действий оператором АСУ ТП","created_at":"2016-06-17T23:29:16.908-07:00","url":"https://www.academia.edu/26272033/%D0%90%D0%BD%D0%BE%D1%85%D0%B8%D0%BD_%D0%90_%D0%9D_%D0%9C%D0%B0%D1%88%D0%BA%D0%BE%D0%B2%D1%86%D0%B5%D0%B2%D0%B0_%D0%A0_%D0%98_%D0%90%D0%BD%D0%BE%D1%85%D0%B8%D0%BD_%D0%AE_%D0%9D_%D0%97%D0%B0%D1%85%D0%B0%D1%80%D0%BA%D0%B8%D0%B2_%D0%90_%D0%AE_%D0%A1%D0%B1%D0%BE%D1%80_%D0%B4%D0%B0%D0%BD%D0%BD%D1%8B%D1%85_%D0%BE_%D0%BD%D0%B0%D0%B4%D0%B5%D0%B6%D0%BD%D0%BE%D1%81%D1%82%D0%B8_%D0%B2%D1%8B%D0%BF%D0%BE%D0%BB%D0%BD%D0%B5%D0%BD%D0%B8%D1%8F_%D1%83%D0%BF%D1%80%D0%B0%D0%B2%D0%BB%D1%8F%D1%8E%D1%89%D0%B8%D1%85_%D0%B4%D0%B5%D0%B9%D1%81%D1%82%D0%B2%D0%B8%D0%B9_%D0%BE%D0%BF%D0%B5%D1%80%D0%B0%D1%82%D0%BE%D1%80%D0%BE%D0%BC_%D0%90%D0%A1%D0%A3_%D0%A2%D0%9F?f_ri=5656","dom_id":"work_26272033","summary":"Описывается постановка эксперимента для сбора данных о надежности выполнения оператором управляющих воздействий с помощью интерактивных элементов экрана. Воздействие состоит в выборе оборудования на мнемосхеме, указания его целевого состояния (открыть-закрыть, включить-отключить) и активации выполнения команды. Испытуемый выполняет четыре упражнения, отличающиеся наличием или отсутствием обратной связи о состоянии оборудования, а также наложением отвлекающих вопросов. В ходе эксперимента регистрируются физиологические показатели – частота сердечных сокращений, частота дыхания и электрическое сопротивление кожи. Предварительные оценки показывают вероятность безошибочной работы в случае обеспечения оператора информационной обратной связью 0,99–0,998.","downloadable_attachments":[{"id":46586092,"asset_id":26272033,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":8187127,"first_name":"Alexey","last_name":"Anokhin","domain_name":"independent","page_name":"AlexeyAnokhin","display_name":"Alexey Anokhin","profile_url":"https://independent.academia.edu/AlexeyAnokhin?f_ri=5656","photo":"https://0.academia-photos.com/8187127/2819598/3290508/s65__._.jpg"}],"research_interests":[{"id":1649,"name":"Ergonomics","url":"https://www.academia.edu/Documents/in/Ergonomics?f_ri=5656","nofollow":true},{"id":5656,"name":"Human-machine Systems","url":"https://www.academia.edu/Documents/in/Human-machine_Systems?f_ri=5656","nofollow":true},{"id":6540,"name":"Process Control","url":"https://www.academia.edu/Documents/in/Process_Control?f_ri=5656","nofollow":true},{"id":66003,"name":"Human-Machine Interaction","url":"https://www.academia.edu/Documents/in/Human-Machine_Interaction?f_ri=5656","nofollow":true},{"id":123506,"name":"Reliability","url":"https://www.academia.edu/Documents/in/Reliability?f_ri=5656"},{"id":157898,"name":"Human Machine Interface","url":"https://www.academia.edu/Documents/in/Human_Machine_Interface?f_ri=5656"},{"id":216376,"name":"HMI","url":"https://www.academia.edu/Documents/in/HMI?f_ri=5656"},{"id":920750,"name":"Human Errors","url":"https://www.academia.edu/Documents/in/Human_Errors?f_ri=5656"},{"id":1126189,"name":"Human Reliability Analysis","url":"https://www.academia.edu/Documents/in/Human_Reliability_Analysis?f_ri=5656"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_26191444" data-work_id="26191444" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/26191444/Vers_un_Syst%C3%A8me_de_Compr%C3%A9hension_d_Enonc%C3%A9_en_Communication_Homme_Machine_Multi_Applications_Approche_Conceptuelle">Vers un Système de Compréhension d’Enoncé en Communication Homme-Machine Multi-Applications: Approche Conceptuelle</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Parmi les techniques appliquées au domaine de la Traitement Automatique du Langage Naturel TALN, on y trouve ceux appartenant à l'approche linguistique. Cette dernière tient en considération les informations linguistiques liées au corpus... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_26191444" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Parmi les techniques appliquées au domaine de la Traitement Automatique du Langage Naturel TALN, on y trouve ceux appartenant à l'approche linguistique. Cette dernière tient en<br />considération les informations linguistiques liées au corpus de l'application visée. Ces informations nous aident à concevoir un système de compréhension d'énoncé dans un dialogue Homme-Machine. Pour atteindre un niveau de robustesse pour notre système, on prévoit l'ajout de quelques connaissances stochastiques à un certain niveau.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/26191444" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="9deee7b6d92709e0cdfb7261e23397ed" rel="nofollow" data-download="{"attachment_id":46514279,"asset_id":26191444,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/46514279/download_file?st=MTc0MDY2MTQ4Niw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1287221" href="https://usthb.academia.edu/MohamedLICHOURI">Mohamed LICHOURI</a><script data-card-contents-for-user="1287221" type="text/json">{"id":1287221,"first_name":"Mohamed","last_name":"LICHOURI","domain_name":"usthb","page_name":"MohamedLICHOURI","display_name":"Mohamed LICHOURI","profile_url":"https://usthb.academia.edu/MohamedLICHOURI?f_ri=5656","photo":"https://0.academia-photos.com/1287221/16502311/16843341/s65_mohamed.lichouri.png"}</script></span></span></li><li class="js-paper-rank-work_26191444 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="26191444"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 26191444, container: ".js-paper-rank-work_26191444", }); 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