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container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_42384089 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="42384089"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 42384089; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=42384089]").text(description); $(".js-view-count-work_42384089").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_42384089").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="42384089"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</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=3424","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=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="447" rel="nofollow" href="https://www.academia.edu/Documents/in/Scientific_Visualization">Scientific Visualization</a>, <script data-card-contents-for-ri="447" type="text/json">{"id":447,"name":"Scientific Visualization","url":"https://www.academia.edu/Documents/in/Scientific_Visualization?f_ri=3424","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=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=42384089]'), work: {"id":42384089,"title":"Design Guidelines and Principles - Information Visualisation 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Visualization","url":"https://www.academia.edu/Documents/in/Data_Visualization?f_ri=3424"},{"id":48591,"name":"Data Visualisation","url":"https://www.academia.edu/Documents/in/Data_Visualisation?f_ri=3424"},{"id":449899,"name":"Big Data Visualisation","url":"https://www.academia.edu/Documents/in/Big_Data_Visualisation?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_2902155" data-work_id="2902155" 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/2902155/The_Origins_and_Rise_of_Medieval_Information_Visualization">The Origins and Rise of Medieval Information Visualization</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 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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="490877" href="https://pace.academia.edu/frankmarchese">frank marchese</a><script data-card-contents-for-user="490877" type="text/json">{"id":490877,"first_name":"frank","last_name":"marchese","domain_name":"pace","page_name":"frankmarchese","display_name":"frank marchese","profile_url":"https://pace.academia.edu/frankmarchese?f_ri=3424","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_2902155 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="2902155"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new 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fa-spin"></i></span><script>$(function () { var workId = 2902155; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=2902155]").text(description); $(".js-view-count-work_2902155").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_2902155").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="2902155"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="128" rel="nofollow" href="https://www.academia.edu/Documents/in/History">History</a>, <script data-card-contents-for-ri="128" type="text/json">{"id":128,"name":"History","url":"https://www.academia.edu/Documents/in/History?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1440" rel="nofollow" href="https://www.academia.edu/Documents/in/Visualization">Visualization</a>, <script data-card-contents-for-ri="1440" type="text/json">{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="22386" rel="nofollow" href="https://www.academia.edu/Documents/in/Medieval_Art">Medieval Art</a><script data-card-contents-for-ri="22386" type="text/json">{"id":22386,"name":"Medieval Art","url":"https://www.academia.edu/Documents/in/Medieval_Art?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=2902155]'), work: {"id":2902155,"title":"The Origins and Rise of Medieval Information Visualization","created_at":"2013-03-04T06:01:22.185-08:00","url":"https://www.academia.edu/2902155/The_Origins_and_Rise_of_Medieval_Information_Visualization?f_ri=3424","dom_id":"work_2902155","summary":null,"downloadable_attachments":[{"id":30891527,"asset_id":2902155,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":490877,"first_name":"frank","last_name":"marchese","domain_name":"pace","page_name":"frankmarchese","display_name":"frank marchese","profile_url":"https://pace.academia.edu/frankmarchese?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":128,"name":"History","url":"https://www.academia.edu/Documents/in/History?f_ri=3424","nofollow":true},{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":22386,"name":"Medieval Art","url":"https://www.academia.edu/Documents/in/Medieval_Art?f_ri=3424","nofollow":true},{"id":48591,"name":"Data Visualisation","url":"https://www.academia.edu/Documents/in/Data_Visualisation?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_3018524" data-work_id="3018524" 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/3018524/Fisheyes_in_the_Field_Using_Method_Triangulation_to_Study_the_Adoption_and_Use_of_a_Source_Code_Visualization">Fisheyes in the Field: Using Method Triangulation to Study the Adoption and Use of a Source Code Visualization</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Information visualizations have been shown useful in numerous laboratory studies, but their adoption and use in real-life tasks are curiously under-researched. We present a field study of ten programmers who work with an editor extended... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_3018524" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Information visualizations have been shown useful in numerous laboratory studies, but their adoption and use in real-life tasks are curiously under-researched. We present a field study of ten programmers who work with an editor extended with a fisheye view of source code. The study triangulates multiple methods (experience sampling, logging, thinking aloud, and interviews) to describe how the visualization is adopted and used. At the concrete level, our results suggest that the visualization was used as frequently as other tools in the programming environment. We also propose extensions to the interface and discuss features that were not used in practice. At the methodological level, the study identifies contributions distinct to individual methods and to their combination, and discusses the relative benefits of laboratory studies and field studies for the evaluation of information visualizations. This paper aims to combine and make contributions within two themes: the methodology of information visualization evaluation and fisheye views for supporting programmers. Next we summarize the relevant literature for each theme.</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/3018524" 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="5cc08f2938598e4d6a46ae724474a1aa" rel="nofollow" data-download="{"attachment_id":30961229,"asset_id":3018524,"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/30961229/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="344372" href="https://ku-dk.academia.edu/MikkelR%C3%B8nneJakobsen">Mikkel Rønne Jakobsen</a><script data-card-contents-for-user="344372" type="text/json">{"id":344372,"first_name":"Mikkel","last_name":"Rønne Jakobsen","domain_name":"ku-dk","page_name":"MikkelRønneJakobsen","display_name":"Mikkel Rønne Jakobsen","profile_url":"https://ku-dk.academia.edu/MikkelR%C3%B8nneJakobsen?f_ri=3424","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_3018524 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="3018524"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 3018524, container: ".js-paper-rank-work_3018524", }); });</script></li><li class="js-percentile-work_3018524 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 = 3018524; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_3018524"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_3018524 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="3018524"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 3018524; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=3018524]").text(description); $(".js-view-count-work_3018524").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_3018524").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="3018524"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="239810" rel="nofollow" href="https://www.academia.edu/Documents/in/Field_Study">Field Study</a>, <script data-card-contents-for-ri="239810" type="text/json">{"id":239810,"name":"Field Study","url":"https://www.academia.edu/Documents/in/Field_Study?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="428860" rel="nofollow" href="https://www.academia.edu/Documents/in/Evaluation_Methodology">Evaluation Methodology</a>, <script data-card-contents-for-ri="428860" type="text/json">{"id":428860,"name":"Evaluation Methodology","url":"https://www.academia.edu/Documents/in/Evaluation_Methodology?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="516232" rel="nofollow" href="https://www.academia.edu/Documents/in/Source_Code">Source Code</a><script data-card-contents-for-ri="516232" type="text/json">{"id":516232,"name":"Source Code","url":"https://www.academia.edu/Documents/in/Source_Code?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=3018524]'), work: {"id":3018524,"title":"Fisheyes in the Field: Using Method Triangulation to Study the Adoption and Use of a Source Code Visualization","created_at":"2013-03-15T07:15:07.601-07:00","url":"https://www.academia.edu/3018524/Fisheyes_in_the_Field_Using_Method_Triangulation_to_Study_the_Adoption_and_Use_of_a_Source_Code_Visualization?f_ri=3424","dom_id":"work_3018524","summary":"Information visualizations have been shown useful in numerous laboratory studies, but their adoption and use in real-life tasks are curiously under-researched. We present a field study of ten programmers who work with an editor extended with a fisheye view of source code. The study triangulates multiple methods (experience sampling, logging, thinking aloud, and interviews) to describe how the visualization is adopted and used. At the concrete level, our results suggest that the visualization was used as frequently as other tools in the programming environment. We also propose extensions to the interface and discuss features that were not used in practice. At the methodological level, the study identifies contributions distinct to individual methods and to their combination, and discusses the relative benefits of laboratory studies and field studies for the evaluation of information visualizations. This paper aims to combine and make contributions within two themes: the methodology of information visualization evaluation and fisheye views for supporting programmers. Next we summarize the relevant literature for each theme.","downloadable_attachments":[{"id":30961229,"asset_id":3018524,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":344372,"first_name":"Mikkel","last_name":"Rønne Jakobsen","domain_name":"ku-dk","page_name":"MikkelRønneJakobsen","display_name":"Mikkel Rønne Jakobsen","profile_url":"https://ku-dk.academia.edu/MikkelR%C3%B8nneJakobsen?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":239810,"name":"Field Study","url":"https://www.academia.edu/Documents/in/Field_Study?f_ri=3424","nofollow":true},{"id":428860,"name":"Evaluation Methodology","url":"https://www.academia.edu/Documents/in/Evaluation_Methodology?f_ri=3424","nofollow":true},{"id":516232,"name":"Source Code","url":"https://www.academia.edu/Documents/in/Source_Code?f_ri=3424","nofollow":true},{"id":851044,"name":"Computer Human Interaction","url":"https://www.academia.edu/Documents/in/Computer_Human_Interaction?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_51574316" data-work_id="51574316" 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/51574316/User_Centered_Data_Management">User-Centered Data 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">Synthesis Lectures on Data Management is edited by Tamer Özsu of the University of Waterloo. The series will publish 50-to 125 page publications on topics pertaining to data management. The scope will largely follow the purview of premier... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_51574316" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Synthesis Lectures on Data Management is edited by Tamer Özsu of the University of Waterloo. The series will publish 50-to 125 page publications on topics pertaining to data management. The scope will largely follow the purview of premier information and computer science conferences, such as ACM SIGMOD, VLDB, ICDE, PODS, ICDT, and ACM KDD. Potential topics include, but not are limited to: query languages, database system architectures, transaction management, data warehousing, XML and databases, data stream systems, wide scale data distribution, multimedia data management, data mining, and related subjects.</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/51574316" 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="7320981941a0bf02de1db35a264d3fe1" rel="nofollow" data-download="{"attachment_id":69240175,"asset_id":51574316,"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/69240175/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="17565" href="https://bham.academia.edu/AlanDix">Alan Dix</a><script data-card-contents-for-user="17565" type="text/json">{"id":17565,"first_name":"Alan","last_name":"Dix","domain_name":"bham","page_name":"AlanDix","display_name":"Alan Dix","profile_url":"https://bham.academia.edu/AlanDix?f_ri=3424","photo":"https://0.academia-photos.com/17565/80240/88081/s65_alan.dix.jpg"}</script></span></span></li><li class="js-paper-rank-work_51574316 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="51574316"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 51574316, container: ".js-paper-rank-work_51574316", }); 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$(".js-view-count[data-work-id=51574316]").text(description); $(".js-view-count-work_51574316").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_51574316").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="51574316"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="1615" rel="nofollow" href="https://www.academia.edu/Documents/in/Usability">Usability</a>, <script data-card-contents-for-ri="1615" type="text/json">{"id":1615,"name":"Usability","url":"https://www.academia.edu/Documents/in/Usability?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="8131" rel="nofollow" href="https://www.academia.edu/Documents/in/Data_Management">Data Management</a>, <script data-card-contents-for-ri="8131" type="text/json">{"id":8131,"name":"Data Management","url":"https://www.academia.edu/Documents/in/Data_Management?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="142255" rel="nofollow" href="https://www.academia.edu/Documents/in/User_Centered_Design">User Centered Design</a><script data-card-contents-for-ri="142255" type="text/json">{"id":142255,"name":"User Centered Design","url":"https://www.academia.edu/Documents/in/User_Centered_Design?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=51574316]'), work: {"id":51574316,"title":"User-Centered Data Management","created_at":"2021-09-09T01:48:06.131-07:00","url":"https://www.academia.edu/51574316/User_Centered_Data_Management?f_ri=3424","dom_id":"work_51574316","summary":"Synthesis Lectures on Data Management is edited by Tamer Özsu of the University of Waterloo. The series will publish 50-to 125 page publications on topics pertaining to data management. The scope will largely follow the purview of premier information and computer science conferences, such as ACM SIGMOD, VLDB, ICDE, PODS, ICDT, and ACM KDD. Potential topics include, but not are limited to: query languages, database system architectures, transaction management, data warehousing, XML and databases, data stream systems, wide scale data distribution, multimedia data management, data mining, and related subjects.","downloadable_attachments":[{"id":69240175,"asset_id":51574316,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":17565,"first_name":"Alan","last_name":"Dix","domain_name":"bham","page_name":"AlanDix","display_name":"Alan Dix","profile_url":"https://bham.academia.edu/AlanDix?f_ri=3424","photo":"https://0.academia-photos.com/17565/80240/88081/s65_alan.dix.jpg"}],"research_interests":[{"id":1615,"name":"Usability","url":"https://www.academia.edu/Documents/in/Usability?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":8131,"name":"Data Management","url":"https://www.academia.edu/Documents/in/Data_Management?f_ri=3424","nofollow":true},{"id":142255,"name":"User Centered Design","url":"https://www.academia.edu/Documents/in/User_Centered_Design?f_ri=3424","nofollow":true},{"id":447348,"name":"Universal Usability","url":"https://www.academia.edu/Documents/in/Universal_Usability?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_35484284" data-work_id="35484284" 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/35484284/Visualizing_Linked_Data_as_Habitable_Cities">Visualizing Linked Data as Habitable Cities</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 comprehension of linked data, consisting of classes, individuals, attributes, relationships, and other elements, is challenging yet important for effective use of linked data. An approach to improve software program comprehension is... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_35484284" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The comprehension of linked data, consisting of classes, individuals, attributes, relationships, and other elements, is challenging yet important for effective use of linked data. An approach to improve software program comprehension is through the code city metaphor, in which object-oriented source code is visualized as a habitable city in 3D. We propose the linked-data city metaphor to support comprehension of linked data. Through improved linked data comprehension we in turn aim to support users in browsing linked data and in analyzing the structure of linked data. We discuss how different mappings and visualization of properties in the city metaphor may support users in browsing and structural analysis of linked data. A prototype implementation of linked data city in LD-R, a linked data-aware faceted browser, is presented.</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/35484284" 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="05d6cc6270512c4e381714c98bf660ba" rel="nofollow" data-download="{"attachment_id":55346998,"asset_id":35484284,"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/55346998/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="356966" href="https://vu-nl.academia.edu/KlaasAndriesdeGraaf">Klaas Andries de Graaf</a><script data-card-contents-for-user="356966" type="text/json">{"id":356966,"first_name":"Klaas Andries","last_name":"de Graaf","domain_name":"vu-nl","page_name":"KlaasAndriesdeGraaf","display_name":"Klaas Andries de Graaf","profile_url":"https://vu-nl.academia.edu/KlaasAndriesdeGraaf?f_ri=3424","photo":"https://0.academia-photos.com/356966/12480055/21657406/s65_klaas_andries.de_graaf.jpg"}</script></span></span></li><li class="js-paper-rank-work_35484284 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="35484284"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 35484284, container: ".js-paper-rank-work_35484284", }); 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$(".js-view-count[data-work-id=35484284]").text(description); $(".js-view-count-work_35484284").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_35484284").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="35484284"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">6</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="11732" rel="nofollow" href="https://www.academia.edu/Documents/in/Linked_Data">Linked Data</a>, <script data-card-contents-for-ri="11732" type="text/json">{"id":11732,"name":"Linked Data","url":"https://www.academia.edu/Documents/in/Linked_Data?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="16602" rel="nofollow" href="https://www.academia.edu/Documents/in/3D_visualisation">3D visualisation</a>, <script data-card-contents-for-ri="16602" type="text/json">{"id":16602,"name":"3D visualisation","url":"https://www.academia.edu/Documents/in/3D_visualisation?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="17711" rel="nofollow" href="https://www.academia.edu/Documents/in/Semantic_Web">Semantic Web</a><script data-card-contents-for-ri="17711" type="text/json">{"id":17711,"name":"Semantic Web","url":"https://www.academia.edu/Documents/in/Semantic_Web?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=35484284]'), work: {"id":35484284,"title":"Visualizing Linked Data as Habitable Cities","created_at":"2017-12-21T03:06:12.974-08:00","url":"https://www.academia.edu/35484284/Visualizing_Linked_Data_as_Habitable_Cities?f_ri=3424","dom_id":"work_35484284","summary":"The comprehension of linked data, consisting of classes, individuals, attributes, relationships, and other elements, is challenging yet important for effective use of linked data. An approach to improve software program comprehension is through the code city metaphor, in which object-oriented source code is visualized as a habitable city in 3D. We propose the linked-data city metaphor to support comprehension of linked data. Through improved linked data comprehension we in turn aim to support users in browsing linked data and in analyzing the structure of linked data. We discuss how different mappings and visualization of properties in the city metaphor may support users in browsing and structural analysis of linked data. A prototype implementation of linked data city in LD-R, a linked data-aware faceted browser, is presented.","downloadable_attachments":[{"id":55346998,"asset_id":35484284,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":356966,"first_name":"Klaas Andries","last_name":"de Graaf","domain_name":"vu-nl","page_name":"KlaasAndriesdeGraaf","display_name":"Klaas Andries de Graaf","profile_url":"https://vu-nl.academia.edu/KlaasAndriesdeGraaf?f_ri=3424","photo":"https://0.academia-photos.com/356966/12480055/21657406/s65_klaas_andries.de_graaf.jpg"}],"research_interests":[{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":11732,"name":"Linked Data","url":"https://www.academia.edu/Documents/in/Linked_Data?f_ri=3424","nofollow":true},{"id":16602,"name":"3D visualisation","url":"https://www.academia.edu/Documents/in/3D_visualisation?f_ri=3424","nofollow":true},{"id":17711,"name":"Semantic Web","url":"https://www.academia.edu/Documents/in/Semantic_Web?f_ri=3424","nofollow":true},{"id":48591,"name":"Data Visualisation","url":"https://www.academia.edu/Documents/in/Data_Visualisation?f_ri=3424"},{"id":125836,"name":"Linked Open Data","url":"https://www.academia.edu/Documents/in/Linked_Open_Data?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_666825" data-work_id="666825" 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/666825/Seamless_Interaction_between_Multiple_Devices_and_Meeting_Rooms">Seamless Interaction between Multiple Devices and Meeting Rooms</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/666825" 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="d12a5a39ac27692865d6eb3603c8e7cd" rel="nofollow" data-download="{"attachment_id":3694897,"asset_id":666825,"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/3694897/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="13200" href="https://uhasselt.academia.edu/MaartenWijnants">Maarten Wijnants</a><script data-card-contents-for-user="13200" type="text/json">{"id":13200,"first_name":"Maarten","last_name":"Wijnants","domain_name":"uhasselt","page_name":"MaartenWijnants","display_name":"Maarten Wijnants","profile_url":"https://uhasselt.academia.edu/MaartenWijnants?f_ri=3424","photo":"https://0.academia-photos.com/13200/79981/10872592/s65_maarten.wijnants.jpg"}</script></span></span></li><li class="js-paper-rank-work_666825 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="666825"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 666825, container: ".js-paper-rank-work_666825", }); });</script></li><li class="js-percentile-work_666825 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 = 666825; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_666825"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_666825 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="666825"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 666825; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=666825]").text(description); $(".js-view-count-work_666825").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_666825").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="666825"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="48999" rel="nofollow" href="https://www.academia.edu/Documents/in/Information">Information</a><script data-card-contents-for-ri="48999" type="text/json">{"id":48999,"name":"Information","url":"https://www.academia.edu/Documents/in/Information?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=666825]'), work: {"id":666825,"title":"Seamless Interaction between Multiple Devices and Meeting Rooms","created_at":"2011-06-13T17:36:03.231-07:00","url":"https://www.academia.edu/666825/Seamless_Interaction_between_Multiple_Devices_and_Meeting_Rooms?f_ri=3424","dom_id":"work_666825","summary":null,"downloadable_attachments":[{"id":3694897,"asset_id":666825,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":13200,"first_name":"Maarten","last_name":"Wijnants","domain_name":"uhasselt","page_name":"MaartenWijnants","display_name":"Maarten Wijnants","profile_url":"https://uhasselt.academia.edu/MaartenWijnants?f_ri=3424","photo":"https://0.academia-photos.com/13200/79981/10872592/s65_maarten.wijnants.jpg"}],"research_interests":[{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":48999,"name":"Information","url":"https://www.academia.edu/Documents/in/Information?f_ri=3424","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_23812415" data-work_id="23812415" 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/23812415/Automatic_Shape_Interpolation_for_Glyph_based_Information_Visualization">Automatic Shape Interpolation for Glyph-based Information Visualization</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Information visualization of multivariate data is a dif- ficult task. Glyph-based rendering is an attempt to discretize the data visually so that individual visual el- ements of the final display such as color, size, position, etc. encode... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_23812415" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Information visualization of multivariate data is a dif- ficult task. Glyph-based rendering is an attempt to discretize the data visually so that individual visual el- ements of the final display such as color, size, position, etc. encode some information about the data. We pro- pose a simple new method for allowing the use of shape for quantitative, continuous data by</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/23812415" 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="63690df0781f00312c805f232dd1ffa9" rel="nofollow" data-download="{"attachment_id":44228534,"asset_id":23812415,"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/44228534/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="46051169" href="https://independent.academia.edu/AmenZwa">Amen Zwa</a><script data-card-contents-for-user="46051169" type="text/json">{"id":46051169,"first_name":"Amen","last_name":"Zwa","domain_name":"independent","page_name":"AmenZwa","display_name":"Amen Zwa","profile_url":"https://independent.academia.edu/AmenZwa?f_ri=3424","photo":"https://0.academia-photos.com/46051169/12197921/13584427/s65_amen.zwa.jpg"}</script></span></span></li><li class="js-paper-rank-work_23812415 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="23812415"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 23812415, container: ".js-paper-rank-work_23812415", }); });</script></li><li class="js-percentile-work_23812415 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 = 23812415; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_23812415"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_23812415 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="23812415"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23812415; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23812415]").text(description); $(".js-view-count-work_23812415").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_23812415").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="23812415"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="47980" rel="nofollow" href="https://www.academia.edu/Documents/in/Data_Visualization">Data Visualization</a>, <script data-card-contents-for-ri="47980" type="text/json">{"id":47980,"name":"Data Visualization","url":"https://www.academia.edu/Documents/in/Data_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="225303" rel="nofollow" href="https://www.academia.edu/Documents/in/Shape_Interpolation">Shape Interpolation</a>, <script data-card-contents-for-ri="225303" type="text/json">{"id":225303,"name":"Shape Interpolation","url":"https://www.academia.edu/Documents/in/Shape_Interpolation?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="264606" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Graphic">Computer Graphic</a><script data-card-contents-for-ri="264606" type="text/json">{"id":264606,"name":"Computer Graphic","url":"https://www.academia.edu/Documents/in/Computer_Graphic?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=23812415]'), work: {"id":23812415,"title":"Automatic Shape Interpolation for Glyph-based Information Visualization","created_at":"2016-03-30T04:38:05.512-07:00","url":"https://www.academia.edu/23812415/Automatic_Shape_Interpolation_for_Glyph_based_Information_Visualization?f_ri=3424","dom_id":"work_23812415","summary":"Information visualization of multivariate data is a dif- ficult task. Glyph-based rendering is an attempt to discretize the data visually so that individual visual el- ements of the final display such as color, size, position, etc. encode some information about the data. We pro- pose a simple new method for allowing the use of shape for quantitative, continuous data by","downloadable_attachments":[{"id":44228534,"asset_id":23812415,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":46051169,"first_name":"Amen","last_name":"Zwa","domain_name":"independent","page_name":"AmenZwa","display_name":"Amen Zwa","profile_url":"https://independent.academia.edu/AmenZwa?f_ri=3424","photo":"https://0.academia-photos.com/46051169/12197921/13584427/s65_amen.zwa.jpg"}],"research_interests":[{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":47980,"name":"Data Visualization","url":"https://www.academia.edu/Documents/in/Data_Visualization?f_ri=3424","nofollow":true},{"id":225303,"name":"Shape Interpolation","url":"https://www.academia.edu/Documents/in/Shape_Interpolation?f_ri=3424","nofollow":true},{"id":264606,"name":"Computer Graphic","url":"https://www.academia.edu/Documents/in/Computer_Graphic?f_ri=3424","nofollow":true},{"id":404251,"name":"Multivariate Data","url":"https://www.academia.edu/Documents/in/Multivariate_Data?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_20546800" data-work_id="20546800" 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/20546800/Exploratory_search_interfaces">Exploratory search interfaces</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 and testing of systems to support users engaged in exploratory search activities (i.e., searches where the target may be undefined) is an challenge for the online search community. In this article we report on a workshop... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_20546800" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The development and testing of systems to support users engaged in exploratory search activities (i.e., searches where the target may be undefined) is an challenge for the online search community. In this article we report on a workshop on exploratory search issues organized in conjunction with the University of Maryland Human-Computer Interaction Laboratory's Annual Symposium and Open House in June 2005. This workshop brought together researchers from the fields of Information Seeking (IS), Information Retrieval (IR), Human-Computer Interaction (HCI) and Information Visualization (IV) for a crossdisciplinary exploration of these and other issues. Although originally intended to focus on interfaces to support exploratory search the workshop blossomed into a rich discussion of not only interface issues, but also evaluation, the cognitive processes that underlie information exploration and research methods.</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/20546800" 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="e3f8475aa23e69ee21e2e5f0dfb2843b" rel="nofollow" data-download="{"attachment_id":41430091,"asset_id":20546800,"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/41430091/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="32834778" href="https://umcp.academia.edu/BillKules">Bill Kules</a><script data-card-contents-for-user="32834778" type="text/json">{"id":32834778,"first_name":"Bill","last_name":"Kules","domain_name":"umcp","page_name":"BillKules","display_name":"Bill Kules","profile_url":"https://umcp.academia.edu/BillKules?f_ri=3424","photo":"https://0.academia-photos.com/32834778/13866637/14944562/s65_bill.kules.jpg"}</script></span></span></li><li class="js-paper-rank-work_20546800 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="20546800"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 20546800, container: ".js-paper-rank-work_20546800", }); });</script></li><li class="js-percentile-work_20546800 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 = 20546800; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_20546800"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_20546800 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="20546800"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20546800; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20546800]").text(description); $(".js-view-count-work_20546800").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_20546800").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="20546800"><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="464" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Retrieval">Information Retrieval</a>, <script data-card-contents-for-ri="464" type="text/json">{"id":464,"name":"Information Retrieval","url":"https://www.academia.edu/Documents/in/Information_Retrieval?f_ri=3424","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=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="64350" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_seeking">Information seeking</a><script data-card-contents-for-ri="64350" type="text/json">{"id":64350,"name":"Information seeking","url":"https://www.academia.edu/Documents/in/Information_seeking?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=20546800]'), work: {"id":20546800,"title":"Exploratory search interfaces","created_at":"2016-01-22T07:02:31.959-08:00","url":"https://www.academia.edu/20546800/Exploratory_search_interfaces?f_ri=3424","dom_id":"work_20546800","summary":"The development and testing of systems to support users engaged in exploratory search activities (i.e., searches where the target may be undefined) is an challenge for the online search community. In this article we report on a workshop on exploratory search issues organized in conjunction with the University of Maryland Human-Computer Interaction Laboratory's Annual Symposium and Open House in June 2005. This workshop brought together researchers from the fields of Information Seeking (IS), Information Retrieval (IR), Human-Computer Interaction (HCI) and Information Visualization (IV) for a crossdisciplinary exploration of these and other issues. Although originally intended to focus on interfaces to support exploratory search the workshop blossomed into a rich discussion of not only interface issues, but also evaluation, the cognitive processes that underlie information exploration and research methods.","downloadable_attachments":[{"id":41430091,"asset_id":20546800,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":32834778,"first_name":"Bill","last_name":"Kules","domain_name":"umcp","page_name":"BillKules","display_name":"Bill Kules","profile_url":"https://umcp.academia.edu/BillKules?f_ri=3424","photo":"https://0.academia-photos.com/32834778/13866637/14944562/s65_bill.kules.jpg"}],"research_interests":[{"id":464,"name":"Information Retrieval","url":"https://www.academia.edu/Documents/in/Information_Retrieval?f_ri=3424","nofollow":true},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":64350,"name":"Information seeking","url":"https://www.academia.edu/Documents/in/Information_seeking?f_ri=3424","nofollow":true},{"id":154636,"name":"Cognitive Process","url":"https://www.academia.edu/Documents/in/Cognitive_Process?f_ri=3424"},{"id":158591,"name":"Research Method","url":"https://www.academia.edu/Documents/in/Research_Method?f_ri=3424"},{"id":246518,"name":"Exploratory search","url":"https://www.academia.edu/Documents/in/Exploratory_search?f_ri=3424"},{"id":638378,"name":"Information Seeking","url":"https://www.academia.edu/Documents/in/Information_Seeking-1?f_ri=3424"},{"id":1852180,"name":"Information Exploration","url":"https://www.academia.edu/Documents/in/Information_Exploration?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1044713" data-work_id="1044713" 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/1044713/Overlapping_Clustered_Graphs_Co_authorship_Networks_Visualization">Overlapping Clustered Graphs: Co-authorship Networks Visualization</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 analysis of scientific articles produced by different groups of authors helps to identify and characterize research groups and collaborations among them. Although this is a quite studied area, some issues, such as quick understanding... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1044713" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The analysis of scientific articles produced by different groups of authors helps to identify and characterize research groups and collaborations among them. Although this is a quite studied area, some issues, such as quick understanding of groups and visualization of large social networks still pose some interesting<br />challenges. In order to contribute to this study, we present a solution based in Overlapper, a tool for the visualization of overlapping groups that makes use of an enhanced variation of force-directed graphs. For a real case study, the tool has<br />been applied to articles in the DBLP database</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/1044713" 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="6ecc970df83f7c9f33858854d4f0ae1b" rel="nofollow" data-download="{"attachment_id":12943693,"asset_id":1044713,"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/12943693/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="4354" href="https://usal.academia.edu/RobertoTheron">Roberto Theron</a><script data-card-contents-for-user="4354" type="text/json">{"id":4354,"first_name":"Roberto","last_name":"Theron","domain_name":"usal","page_name":"RobertoTheron","display_name":"Roberto Theron","profile_url":"https://usal.academia.edu/RobertoTheron?f_ri=3424","photo":"https://0.academia-photos.com/4354/1722/12119032/s65_roberto.theron.jpg"}</script></span></span></li><li class="js-paper-rank-work_1044713 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1044713"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1044713, container: ".js-paper-rank-work_1044713", }); });</script></li><li class="js-percentile-work_1044713 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 = 1044713; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_1044713"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_1044713 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="1044713"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1044713; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1044713]").text(description); $(".js-view-count-work_1044713").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1044713").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="1044713"><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="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=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="60790" rel="nofollow" href="https://www.academia.edu/Documents/in/Scienciometric">Scienciometric</a><script data-card-contents-for-ri="60790" type="text/json">{"id":60790,"name":"Scienciometric","url":"https://www.academia.edu/Documents/in/Scienciometric?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=1044713]'), work: {"id":1044713,"title":"Overlapping Clustered Graphs: Co-authorship Networks Visualization","created_at":"2011-10-26T19:36:12.110-07:00","url":"https://www.academia.edu/1044713/Overlapping_Clustered_Graphs_Co_authorship_Networks_Visualization?f_ri=3424","dom_id":"work_1044713","summary":"The analysis of scientific articles produced by different groups of authors helps to identify and characterize research groups and collaborations among them. Although this is a quite studied area, some issues, such as quick understanding of groups and visualization of large social networks still pose some interesting\nchallenges. In order to contribute to this study, we present a solution based in Overlapper, a tool for the visualization of overlapping groups that makes use of an enhanced variation of force-directed graphs. For a real case study, the tool has\nbeen applied to articles in the DBLP database","downloadable_attachments":[{"id":12943693,"asset_id":1044713,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":4354,"first_name":"Roberto","last_name":"Theron","domain_name":"usal","page_name":"RobertoTheron","display_name":"Roberto Theron","profile_url":"https://usal.academia.edu/RobertoTheron?f_ri=3424","photo":"https://0.academia-photos.com/4354/1722/12119032/s65_roberto.theron.jpg"}],"research_interests":[{"id":1233,"name":"Social Networks","url":"https://www.academia.edu/Documents/in/Social_Networks?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":60790,"name":"Scienciometric","url":"https://www.academia.edu/Documents/in/Scienciometric?f_ri=3424","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_1515634" data-work_id="1515634" 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/1515634/Developing_a_Parametric_Approach_for_3D_Modelling_Software">Developing a Parametric Approach for 3D Modelling Software</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 creation of 3D models is generally considered by newcomers to be a difficult activity requiring a number of skills and considerable practice. This paper describes work in the INHERIT project which aims to address these issues by... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1515634" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The creation of 3D models is generally considered by newcomers to be a difficult activity requiring a number of skills and considerable practice. This paper describes work in the INHERIT project which aims to address these issues by providing a 3D modelling tool set which is easy to use, requiring few skills and little practice. This is achieved by the development of software tools which are customised to build particular types of model. The key aspect of these tools is the treatment of the underlying data of the 3D model as a tree structure of nodes which consist of parameterised representations of the components of the object being modelled. The tools then automatically generate the graphics primitives that enable the visualisation and interaction with the object. This paper describes the implementation of the first tool created following this principle which enables school children to model church structures</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/1515634" 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="d8b0c434089cf2c5efca674c1dbcc113" rel="nofollow" data-download="{"attachment_id":50944201,"asset_id":1515634,"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/50944201/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="1555163" href="https://open.academia.edu/RobinaHetherington">Robina Hetherington</a><script data-card-contents-for-user="1555163" type="text/json">{"id":1555163,"first_name":"Robina","last_name":"Hetherington","domain_name":"open","page_name":"RobinaHetherington","display_name":"Robina Hetherington","profile_url":"https://open.academia.edu/RobinaHetherington?f_ri=3424","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_1515634 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1515634"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1515634, container: ".js-paper-rank-work_1515634", }); });</script></li><li class="js-percentile-work_1515634 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 = 1515634; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_1515634"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_1515634 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="1515634"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1515634; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1515634]").text(description); $(".js-view-count-work_1515634").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1515634").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="1515634"><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="1440" rel="nofollow" href="https://www.academia.edu/Documents/in/Visualization">Visualization</a>, <script data-card-contents-for-ri="1440" type="text/json">{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2132" rel="nofollow" href="https://www.academia.edu/Documents/in/Cultural_Heritage">Cultural Heritage</a>, <script data-card-contents-for-ri="2132" type="text/json">{"id":2132,"name":"Cultural Heritage","url":"https://www.academia.edu/Documents/in/Cultural_Heritage?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5279" rel="nofollow" href="https://www.academia.edu/Documents/in/XML">XML</a><script data-card-contents-for-ri="5279" type="text/json">{"id":5279,"name":"XML","url":"https://www.academia.edu/Documents/in/XML?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=1515634]'), work: {"id":1515634,"title":"Developing a Parametric Approach for 3D Modelling Software","created_at":"2012-04-19T07:26:19.081-07:00","url":"https://www.academia.edu/1515634/Developing_a_Parametric_Approach_for_3D_Modelling_Software?f_ri=3424","dom_id":"work_1515634","summary":"The creation of 3D models is generally considered by newcomers to be a difficult activity requiring a number of skills and considerable practice. This paper describes work in the INHERIT project which aims to address these issues by providing a 3D modelling tool set which is easy to use, requiring few skills and little practice. This is achieved by the development of software tools which are customised to build particular types of model. The key aspect of these tools is the treatment of the underlying data of the 3D model as a tree structure of nodes which consist of parameterised representations of the components of the object being modelled. The tools then automatically generate the graphics primitives that enable the visualisation and interaction with the object. This paper describes the implementation of the first tool created following this principle which enables school children to model church structures","downloadable_attachments":[{"id":50944201,"asset_id":1515634,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1555163,"first_name":"Robina","last_name":"Hetherington","domain_name":"open","page_name":"RobinaHetherington","display_name":"Robina Hetherington","profile_url":"https://open.academia.edu/RobinaHetherington?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=3424","nofollow":true},{"id":2132,"name":"Cultural Heritage","url":"https://www.academia.edu/Documents/in/Cultural_Heritage?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":5279,"name":"XML","url":"https://www.academia.edu/Documents/in/XML?f_ri=3424","nofollow":true},{"id":48591,"name":"Data Visualisation","url":"https://www.academia.edu/Documents/in/Data_Visualisation?f_ri=3424"},{"id":61864,"name":"Cultural Differences","url":"https://www.academia.edu/Documents/in/Cultural_Differences?f_ri=3424"},{"id":78300,"name":"Graphics","url":"https://www.academia.edu/Documents/in/Graphics?f_ri=3424"},{"id":83704,"name":"Vrml","url":"https://www.academia.edu/Documents/in/Vrml?f_ri=3424"},{"id":181022,"name":"Data Structures","url":"https://www.academia.edu/Documents/in/Data_Structures?f_ri=3424"},{"id":574187,"name":"Tree Structure","url":"https://www.academia.edu/Documents/in/Tree_Structure?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_65742284" data-work_id="65742284" 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/65742284/Dietary_Practices_and_Influencing_Factors_of_Winneba_SHS_Students">Dietary Practices and Influencing Factors of Winneba SHS Students</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 study examined the influence of dietary practices on the academic performance of boarding school adolescents. The sample consisted of 264 selected boarding school students from forms one, two and three, respectively. A multistage... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_65742284" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The study examined the influence of dietary practices on the academic performance of boarding school adolescents. The sample consisted of 264 selected boarding school students from forms one, two and three, respectively. A multistage sampling procedure was adopted in the selection of respondents and structured questionnaire was the main instrument for data collection. The Cronbach&quot;s alpha reliability of the instrument was 0.82. Data were quantitatively analysed using descriptive statistics and presented in the form of tables. The study revealed that consumption of unhealthy snack foods, skipping of meals especially breakfast and low intake of fruits and water were dietary practices which were influenced by several factors with hunger ranking highest. It was concluded that the students engage in poor dietary practices such as skipping of breakfast, and excessive snacking. Recommendations given included; educating the students on the importance of adopting positive dietary practi...</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/65742284" 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="7e17dd5f7559187a37c85969b2bf56dc" rel="nofollow" data-download="{"attachment_id":77207247,"asset_id":65742284,"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/77207247/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="107053368" rel="nofollow" href="https://ucc-gh.academia.edu/EbenezerAppahBonney">Ebenezer Appah Bonney</a><script data-card-contents-for-user="107053368" type="text/json">{"id":107053368,"first_name":"Ebenezer","last_name":"Appah Bonney","domain_name":"ucc-gh","page_name":"EbenezerAppahBonney","display_name":"Ebenezer Appah Bonney","profile_url":"https://ucc-gh.academia.edu/EbenezerAppahBonney?f_ri=3424","photo":"https://0.academia-photos.com/107053368/41194661/33472650/s65_ebenezer.appah_bonney.jpg"}</script></span></span></li><li class="js-paper-rank-work_65742284 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="65742284"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 65742284, container: ".js-paper-rank-work_65742284", }); 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$(".js-view-count[data-work-id=65742284]").text(description); $(".js-view-count-work_65742284").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_65742284").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="65742284"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="221" rel="nofollow" href="https://www.academia.edu/Documents/in/Psychology">Psychology</a>, <script data-card-contents-for-ri="221" type="text/json">{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a><script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=65742284]'), work: {"id":65742284,"title":"Dietary Practices and Influencing Factors of Winneba SHS Students","created_at":"2021-12-23T13:38:31.073-08:00","url":"https://www.academia.edu/65742284/Dietary_Practices_and_Influencing_Factors_of_Winneba_SHS_Students?f_ri=3424","dom_id":"work_65742284","summary":"The study examined the influence of dietary practices on the academic performance of boarding school adolescents. The sample consisted of 264 selected boarding school students from forms one, two and three, respectively. A multistage sampling procedure was adopted in the selection of respondents and structured questionnaire was the main instrument for data collection. The Cronbach\u0026quot;s alpha reliability of the instrument was 0.82. Data were quantitatively analysed using descriptive statistics and presented in the form of tables. The study revealed that consumption of unhealthy snack foods, skipping of meals especially breakfast and low intake of fruits and water were dietary practices which were influenced by several factors with hunger ranking highest. It was concluded that the students engage in poor dietary practices such as skipping of breakfast, and excessive snacking. Recommendations given included; educating the students on the importance of adopting positive dietary practi...","downloadable_attachments":[{"id":77207247,"asset_id":65742284,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":107053368,"first_name":"Ebenezer","last_name":"Appah Bonney","domain_name":"ucc-gh","page_name":"EbenezerAppahBonney","display_name":"Ebenezer Appah Bonney","profile_url":"https://ucc-gh.academia.edu/EbenezerAppahBonney?f_ri=3424","photo":"https://0.academia-photos.com/107053368/41194661/33472650/s65_ebenezer.appah_bonney.jpg"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","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_80886959" data-work_id="80886959" 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/80886959/Overview_of_visual_analytics">Overview of visual analytics</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 ever-increasing amount of data, the world has stepped into the era of ''Big Data''. Presently, the analysis of massive and complex data and the extraction of relevant information, have been become essential tasks in many fields... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_80886959" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">With the ever-increasing amount of data, the world has stepped into the era of ''Big Data''. Presently, the analysis of massive and complex data and the extraction of relevant information, have been become essential tasks in many fields of studies, such as health, biology, chemistry, social science, astronomy, and physics. However, compared with the development of data storage and management technologies, our ability to gain useful information from the collected data does not match our ability to collect the data. This gap has led to a surge of research activity in the field of visual analytics. Visual analytics employs interactive visualization to integrate human judgment into algorithmic data-analysis processes. In this paper, the aim is to draw a complete picture of visual analytics to direct future research by examining the related research in various application domains. As such, a novel categorization of visual-analytics applications from a technical perspective is proposed, which is based on the dimensionality of visualization and the type of interaction. Based on this categorization, a comprehensive survey of visual analytics is performed, which examines its evolution from visualization and algorithmic data analysis, and investigates how it is applied in various application domains. In addition, based on the observations and findings gained in this survey, the trends, major challenges, and future directions of visual analytics 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/80886959" 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="9b5f6a9c77c21332283a96b3807d658f" rel="nofollow" data-download="{"attachment_id":87119887,"asset_id":80886959,"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/87119887/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="30346124" href="https://independent.academia.edu/SamantR">Rahul Samant</a><script data-card-contents-for-user="30346124" type="text/json">{"id":30346124,"first_name":"Rahul","last_name":"Samant","domain_name":"independent","page_name":"SamantR","display_name":"Rahul Samant","profile_url":"https://independent.academia.edu/SamantR?f_ri=3424","photo":"https://0.academia-photos.com/30346124/8796299/9821729/s65_rahul.samant.jpg"}</script></span></span></li><li class="js-paper-rank-work_80886959 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="80886959"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 80886959, container: ".js-paper-rank-work_80886959", }); 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Presently, the analysis of massive and complex data and the extraction of relevant information, have been become essential tasks in many fields of studies, such as health, biology, chemistry, social science, astronomy, and physics. However, compared with the development of data storage and management technologies, our ability to gain useful information from the collected data does not match our ability to collect the data. This gap has led to a surge of research activity in the field of visual analytics. Visual analytics employs interactive visualization to integrate human judgment into algorithmic data-analysis processes. In this paper, the aim is to draw a complete picture of visual analytics to direct future research by examining the related research in various application domains. As such, a novel categorization of visual-analytics applications from a technical perspective is proposed, which is based on the dimensionality of visualization and the type of interaction. Based on this categorization, a comprehensive survey of visual analytics is performed, which examines its evolution from visualization and algorithmic data analysis, and investigates how it is applied in various application domains. In addition, based on the observations and findings gained in this survey, the trends, major challenges, and future directions of visual analytics are discussed.","downloadable_attachments":[{"id":87119887,"asset_id":80886959,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":30346124,"first_name":"Rahul","last_name":"Samant","domain_name":"independent","page_name":"SamantR","display_name":"Rahul Samant","profile_url":"https://independent.academia.edu/SamantR?f_ri=3424","photo":"https://0.academia-photos.com/30346124/8796299/9821729/s65_rahul.samant.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=3424","nofollow":true},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=3424","nofollow":true},{"id":4416,"name":"Interaction Design","url":"https://www.academia.edu/Documents/in/Interaction_Design?f_ri=3424"},{"id":5079,"name":"Graphic Design","url":"https://www.academia.edu/Documents/in/Graphic_Design?f_ri=3424"},{"id":5109,"name":"Pattern Recognition","url":"https://www.academia.edu/Documents/in/Pattern_Recognition?f_ri=3424"},{"id":6078,"name":"Visual Analytics","url":"https://www.academia.edu/Documents/in/Visual_Analytics?f_ri=3424"},{"id":8131,"name":"Data Management","url":"https://www.academia.edu/Documents/in/Data_Management?f_ri=3424"},{"id":17712,"name":"Science and Technology","url":"https://www.academia.edu/Documents/in/Science_and_Technology?f_ri=3424"},{"id":43202,"name":"Research Agenda","url":"https://www.academia.edu/Documents/in/Research_Agenda?f_ri=3424"},{"id":60176,"name":"Information Overload","url":"https://www.academia.edu/Documents/in/Information_Overload?f_ri=3424"},{"id":64642,"name":"Knowledge Discovery","url":"https://www.academia.edu/Documents/in/Knowledge_Discovery?f_ri=3424"},{"id":172642,"name":"Data Transformation","url":"https://www.academia.edu/Documents/in/Data_Transformation?f_ri=3424"},{"id":197861,"name":"Domain Knowledge","url":"https://www.academia.edu/Documents/in/Domain_Knowledge?f_ri=3424"},{"id":394229,"name":"Heterogeneous Data","url":"https://www.academia.edu/Documents/in/Heterogeneous_Data?f_ri=3424"},{"id":1197942,"name":"Social Science","url":"https://www.academia.edu/Documents/in/Social_Science?f_ri=3424"},{"id":2419096,"name":"Driving force","url":"https://www.academia.edu/Documents/in/Driving_force?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_65155749" data-work_id="65155749" 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/65155749/A_Novel_Visualization_Tool_for_Evaluating_Medication_Side_Effects_in_Multi_drug_Regimens">A Novel Visualization Tool for Evaluating Medication Side-Effects in Multi-drug Regimens</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. The evaluation and management of medication side-effects is a common and complex task for physicians. Information visualization has the potential to increase the efficiency and reduce the cognitive load involved in this process.... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_65155749" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Abstract. The evaluation and management of medication side-effects is a common and complex task for physicians. Information visualization has the potential to increase the efficiency and reduce the cognitive load involved in this process. We describe the design and development of Rxplore, a novel tool for assessing medication side-effects. Rxplore supports simultaneous lookup of multiple medications and an intuitive visual representation of query results. In a pilot study of Rxplore&#x27;s usability and utility, physicians rated the ...</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/65155749" 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="6dbfb04aa743addf026a48287ab4f64e" rel="nofollow" data-download="{"attachment_id":76873801,"asset_id":65155749,"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/76873801/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="209380262" href="https://independent.academia.edu/JonathanDuke2">Jonathan Duke</a><script data-card-contents-for-user="209380262" type="text/json">{"id":209380262,"first_name":"Jonathan","last_name":"Duke","domain_name":"independent","page_name":"JonathanDuke2","display_name":"Jonathan Duke","profile_url":"https://independent.academia.edu/JonathanDuke2?f_ri=3424","photo":"https://0.academia-photos.com/209380262/69206643/57601958/s65_jonathan.duke.png"}</script></span></span></li><li class="js-paper-rank-work_65155749 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="65155749"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 65155749, container: ".js-paper-rank-work_65155749", }); 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$(".js-view-count[data-work-id=65155749]").text(description); $(".js-view-count-work_65155749").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_65155749").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="65155749"><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=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1212" rel="nofollow" href="https://www.academia.edu/Documents/in/Medical_Informatics">Medical Informatics</a>, <script data-card-contents-for-ri="1212" type="text/json">{"id":1212,"name":"Medical Informatics","url":"https://www.academia.edu/Documents/in/Medical_Informatics?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="57935" rel="nofollow" href="https://www.academia.edu/Documents/in/Side_Effects">Side Effects</a><script data-card-contents-for-ri="57935" type="text/json">{"id":57935,"name":"Side Effects","url":"https://www.academia.edu/Documents/in/Side_Effects?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=65155749]'), work: {"id":65155749,"title":"A Novel Visualization Tool for Evaluating Medication Side-Effects in Multi-drug Regimens","created_at":"2021-12-19T23:11:12.745-08:00","url":"https://www.academia.edu/65155749/A_Novel_Visualization_Tool_for_Evaluating_Medication_Side_Effects_in_Multi_drug_Regimens?f_ri=3424","dom_id":"work_65155749","summary":"Abstract. The evaluation and management of medication side-effects is a common and complex task for physicians. Information visualization has the potential to increase the efficiency and reduce the cognitive load involved in this process. We describe the design and development of Rxplore, a novel tool for assessing medication side-effects. Rxplore supports simultaneous lookup of multiple medications and an intuitive visual representation of query results. 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In addition to assessing the content, the analyst must be confident about the quality and veracity of the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_62491506" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Information analysts must rapidly assess information to determine its usefulness in supporting and informing decision makers. In addition to assessing the content, the analyst must be confident about the quality and veracity of the information. Visualizations can concisely represent vast quantities of information, thus aiding the analyst to examine larger quantities of material; however, visualization programs are challenged to incorporate</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/62491506" 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="d6fb3eeb1c1a54ee98160cb96cde8b96" rel="nofollow" data-download="{"attachment_id":75236003,"asset_id":62491506,"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/75236003/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="172385" href="https://uoguelph.academia.edu/JudiMcCuaig">Judi McCuaig</a><script data-card-contents-for-user="172385" type="text/json">{"id":172385,"first_name":"Judi","last_name":"McCuaig","domain_name":"uoguelph","page_name":"JudiMcCuaig","display_name":"Judi McCuaig","profile_url":"https://uoguelph.academia.edu/JudiMcCuaig?f_ri=3424","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_62491506 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="62491506"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 62491506, container: ".js-paper-rank-work_62491506", }); 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$(".js-view-count[data-work-id=62491506]").text(description); $(".js-view-count-work_62491506").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_62491506").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="62491506"><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="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4205" rel="nofollow" href="https://www.academia.edu/Documents/in/Data_Analysis">Data Analysis</a>, <script data-card-contents-for-ri="4205" type="text/json">{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="35639" rel="nofollow" href="https://www.academia.edu/Documents/in/Scientific_Computing">Scientific Computing</a>, <script data-card-contents-for-ri="35639" type="text/json">{"id":35639,"name":"Scientific Computing","url":"https://www.academia.edu/Documents/in/Scientific_Computing?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="37778" rel="nofollow" href="https://www.academia.edu/Documents/in/Law_Enforcement">Law Enforcement</a><script data-card-contents-for-ri="37778" type="text/json">{"id":37778,"name":"Law Enforcement","url":"https://www.academia.edu/Documents/in/Law_Enforcement?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=62491506]'), work: {"id":62491506,"title":"A typology for visualizing uncertainty","created_at":"2021-11-26T10:52:27.045-08:00","url":"https://www.academia.edu/62491506/A_typology_for_visualizing_uncertainty?f_ri=3424","dom_id":"work_62491506","summary":"Information analysts must rapidly assess information to determine its usefulness in supporting and informing decision makers. In addition to assessing the content, the analyst must be confident about the quality and veracity of the information. 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She was also taking acetylsalicylic acid and bisoprolol.</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/37078489" 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="5016df79f53d0395866a646ebfc64fe2" rel="nofollow" data-download="{"attachment_id":57030371,"asset_id":37078489,"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/57030371/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="8661199" href="https://independent.academia.edu/SigfriedGold">Sigfried Gold</a><script data-card-contents-for-user="8661199" type="text/json">{"id":8661199,"first_name":"Sigfried","last_name":"Gold","domain_name":"independent","page_name":"SigfriedGold","display_name":"Sigfried Gold","profile_url":"https://independent.academia.edu/SigfriedGold?f_ri=3424","photo":"https://0.academia-photos.com/8661199/2880840/19718954/s65_sigfried.gold.jpg"}</script></span></span></li><li class="js-paper-rank-work_37078489 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="37078489"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 37078489, container: ".js-paper-rank-work_37078489", }); 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She was also taking acetylsalicylic acid and bisoprolol.","downloadable_attachments":[{"id":57030371,"asset_id":37078489,"asset_type":"Work","always_allow_download":false},{"id":57030319,"asset_id":37078489,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":8661199,"first_name":"Sigfried","last_name":"Gold","domain_name":"independent","page_name":"SigfriedGold","display_name":"Sigfried Gold","profile_url":"https://independent.academia.edu/SigfriedGold?f_ri=3424","photo":"https://0.academia-photos.com/8661199/2880840/19718954/s65_sigfried.gold.jpg"}],"research_interests":[{"id":1212,"name":"Medical Informatics","url":"https://www.academia.edu/Documents/in/Medical_Informatics?f_ri=3424","nofollow":true},{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":5105,"name":"Ontology (Computer Science)","url":"https://www.academia.edu/Documents/in/Ontology_Computer_Science_?f_ri=3424","nofollow":true},{"id":5832,"name":"Terminology","url":"https://www.academia.edu/Documents/in/Terminology?f_ri=3424"},{"id":47980,"name":"Data Visualization","url":"https://www.academia.edu/Documents/in/Data_Visualization?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_35077207" data-work_id="35077207" 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/35077207/Analysing_the_influence_of_visualisations_in_global_environmental_governance">Analysing the influence of visualisations in global environmental governance</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">A B S T R A C T Visualisations can highly contribute to the importance and authority of new ideas, concepts, and knowledge claims. Among the many visualisations, few become well-known and influential in environmental governance. Whilst... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_35077207" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">A B S T R A C T Visualisations can highly contribute to the importance and authority of new ideas, concepts, and knowledge claims. Among the many visualisations, few become well-known and influential in environmental governance. Whilst these have been objects of specific research, this study questions what constitutes and underpins their influence. For this, the paper codifies influential visualisations and defines criteria for studying their visual characteristics. The criteria are applied to two case studies, the " traffic light " and the " planetary boundaries " diagrams. To increase the validity of the findings, the study also introduces two " failure cases " as a plausibility check.</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/35077207" 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="f758a9e660e7ddf11a889573bbccbac7" rel="nofollow" data-download="{"attachment_id":54937912,"asset_id":35077207,"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/54937912/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="54944004" href="https://vu-nl.academia.edu/PieroMorseletto">Piero Morseletto</a><script data-card-contents-for-user="54944004" type="text/json">{"id":54944004,"first_name":"Piero","last_name":"Morseletto","domain_name":"vu-nl","page_name":"PieroMorseletto","display_name":"Piero Morseletto","profile_url":"https://vu-nl.academia.edu/PieroMorseletto?f_ri=3424","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_35077207 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="35077207"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 35077207, container: ".js-paper-rank-work_35077207", }); 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Among the many visualisations, few become well-known and influential in environmental governance. Whilst these have been objects of specific research, this study questions what constitutes and underpins their influence. For this, the paper codifies influential visualisations and defines criteria for studying their visual characteristics. The criteria are applied to two case studies, the \" traffic light \" and the \" planetary boundaries \" diagrams. To increase the validity of the findings, the study also introduces two \" failure cases \" as a plausibility check.","downloadable_attachments":[{"id":54937912,"asset_id":35077207,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":54944004,"first_name":"Piero","last_name":"Morseletto","domain_name":"vu-nl","page_name":"PieroMorseletto","display_name":"Piero Morseletto","profile_url":"https://vu-nl.academia.edu/PieroMorseletto?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":863,"name":"Visual Studies","url":"https://www.academia.edu/Documents/in/Visual_Studies?f_ri=3424","nofollow":true},{"id":1053,"name":"History of Ideas","url":"https://www.academia.edu/Documents/in/History_of_Ideas?f_ri=3424","nofollow":true},{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=3424","nofollow":true},{"id":3225,"name":"Visual Culture","url":"https://www.academia.edu/Documents/in/Visual_Culture?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424"},{"id":4399,"name":"Visual Semiotics","url":"https://www.academia.edu/Documents/in/Visual_Semiotics?f_ri=3424"},{"id":5359,"name":"Visual perception","url":"https://www.academia.edu/Documents/in/Visual_perception?f_ri=3424"},{"id":11467,"name":"Visual Communication","url":"https://www.academia.edu/Documents/in/Visual_Communication?f_ri=3424"},{"id":20761,"name":"Concepts","url":"https://www.academia.edu/Documents/in/Concepts?f_ri=3424"},{"id":78919,"name":"History of Political Ideas","url":"https://www.academia.edu/Documents/in/History_of_Political_Ideas?f_ri=3424"},{"id":93455,"name":"Infographics and data visualization","url":"https://www.academia.edu/Documents/in/Infographics_and_data_visualization?f_ri=3424"}]}, }) } 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data-has-card-for-user="16823" href="https://vt.academia.edu/DougBowman">Doug Bowman</a><script data-card-contents-for-user="16823" type="text/json">{"id":16823,"first_name":"Doug","last_name":"Bowman","domain_name":"vt","page_name":"DougBowman","display_name":"Doug Bowman","profile_url":"https://vt.academia.edu/DougBowman?f_ri=3424","photo":"https://0.academia-photos.com/16823/5669/5489/s65_doug.bowman.jpg"}</script></span></span></li><li class="js-paper-rank-work_500439 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="500439"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 500439, container: ".js-paper-rank-work_500439", }); });</script></li><li class="js-percentile-work_500439 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 = 500439; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_500439"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_500439 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="500439"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 500439; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=500439]").text(description); $(".js-view-count-work_500439").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_500439").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="500439"><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="464" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Retrieval">Information Retrieval</a>, <script data-card-contents-for-ri="464" type="text/json">{"id":464,"name":"Information Retrieval","url":"https://www.academia.edu/Documents/in/Information_Retrieval?f_ri=3424","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=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="40988" rel="nofollow" href="https://www.academia.edu/Documents/in/Virtual_Space">Virtual Space</a><script data-card-contents-for-ri="40988" type="text/json">{"id":40988,"name":"Virtual Space","url":"https://www.academia.edu/Documents/in/Virtual_Space?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=500439]'), work: {"id":500439,"title":"The virtual venue: User-computer interaction in information-rich virtual environments","created_at":"2011-03-30T00:29:05.074-07:00","url":"https://www.academia.edu/500439/The_virtual_venue_User_computer_interaction_in_information_rich_virtual_environments?f_ri=3424","dom_id":"work_500439","summary":null,"downloadable_attachments":[{"id":2338449,"asset_id":500439,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":16823,"first_name":"Doug","last_name":"Bowman","domain_name":"vt","page_name":"DougBowman","display_name":"Doug Bowman","profile_url":"https://vt.academia.edu/DougBowman?f_ri=3424","photo":"https://0.academia-photos.com/16823/5669/5489/s65_doug.bowman.jpg"}],"research_interests":[{"id":464,"name":"Information Retrieval","url":"https://www.academia.edu/Documents/in/Information_Retrieval?f_ri=3424","nofollow":true},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":40988,"name":"Virtual Space","url":"https://www.academia.edu/Documents/in/Virtual_Space?f_ri=3424","nofollow":true},{"id":50642,"name":"Virtual Reality","url":"https://www.academia.edu/Documents/in/Virtual_Reality?f_ri=3424"},{"id":54780,"name":"Presence","url":"https://www.academia.edu/Documents/in/Presence?f_ri=3424"},{"id":68786,"name":"Virtual Environment","url":"https://www.academia.edu/Documents/in/Virtual_Environment?f_ri=3424"},{"id":504035,"name":"Three Dimensional","url":"https://www.academia.edu/Documents/in/Three_Dimensional?f_ri=3424"},{"id":1167623,"name":"Usability Study","url":"https://www.academia.edu/Documents/in/Usability_Study?f_ri=3424"},{"id":1276546,"name":"Multimedia Authoring Tool","url":"https://www.academia.edu/Documents/in/Multimedia_Authoring_Tool?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_78260194" data-work_id="78260194" 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/78260194/Contropedia_the_analysis_and_visualization_of_controversies_in_Wikipedia_articles">Contropedia - the analysis and visualization of controversies in Wikipedia articles</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Collaborative content creation inevitably reaches situations where different points of view lead to conflict. In Wikipedia, one of the most prominent examples of collaboration online, conflict is mediated by both policy and software, and... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_78260194" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Collaborative content creation inevitably reaches situations where different points of view lead to conflict. In Wikipedia, one of the most prominent examples of collaboration online, conflict is mediated by both policy and software, and conflicts often reflect larger societal debates.</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/78260194" 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="00ef5ffc7f3f073e42861a42eb31952e" rel="nofollow" data-download="{"attachment_id":85837244,"asset_id":78260194,"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/85837244/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="381772" href="https://neu.academia.edu/PaoloCiuccarelli">Paolo Ciuccarelli</a><script data-card-contents-for-user="381772" type="text/json">{"id":381772,"first_name":"Paolo","last_name":"Ciuccarelli","domain_name":"neu","page_name":"PaoloCiuccarelli","display_name":"Paolo Ciuccarelli","profile_url":"https://neu.academia.edu/PaoloCiuccarelli?f_ri=3424","photo":"https://0.academia-photos.com/381772/118578/138369/s65_paolo.ciuccarelli.jpg"}</script></span></span></li><li class="js-paper-rank-work_78260194 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="78260194"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 78260194, container: ".js-paper-rank-work_78260194", }); });</script></li><li class="js-percentile-work_78260194 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 = 78260194; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_78260194"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_78260194 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="78260194"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 78260194; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=78260194]").text(description); $(".js-view-count-work_78260194").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_78260194").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="78260194"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><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=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1440" rel="nofollow" href="https://www.academia.edu/Documents/in/Visualization">Visualization</a>, <script data-card-contents-for-ri="1440" type="text/json">{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2009" rel="nofollow" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a><script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=78260194]'), work: {"id":78260194,"title":"Contropedia - the analysis and visualization of controversies in Wikipedia articles","created_at":"2022-05-02T13:57:16.105-07:00","url":"https://www.academia.edu/78260194/Contropedia_the_analysis_and_visualization_of_controversies_in_Wikipedia_articles?f_ri=3424","dom_id":"work_78260194","summary":"Collaborative content creation inevitably reaches situations where different points of view lead to conflict. In Wikipedia, one of the most prominent examples of collaboration online, conflict is mediated by both policy and software, and conflicts often reflect larger societal debates.","downloadable_attachments":[{"id":85837244,"asset_id":78260194,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":381772,"first_name":"Paolo","last_name":"Ciuccarelli","domain_name":"neu","page_name":"PaoloCiuccarelli","display_name":"Paolo Ciuccarelli","profile_url":"https://neu.academia.edu/PaoloCiuccarelli?f_ri=3424","photo":"https://0.academia-photos.com/381772/118578/138369/s65_paolo.ciuccarelli.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=3424","nofollow":true},{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=3424","nofollow":true},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":122623,"name":"Wikipedia","url":"https://www.academia.edu/Documents/in/Wikipedia?f_ri=3424"},{"id":289562,"name":"Controversy mapping","url":"https://www.academia.edu/Documents/in/Controversy_mapping?f_ri=3424"},{"id":439576,"name":"Acm","url":"https://www.academia.edu/Documents/in/Acm?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_6639113" data-work_id="6639113" 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/6639113/Stadtportraits_und_Stadtkarikaturen">Stadtportraits und Stadtkarikaturen</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Einleitung Stadtdaten erlauben uns zu verstehen, wie Menschen sich selbst auf verschiedenen Ebenen organisieren. Der Diskurs über die Visualisierung von Städten geht von unterschiedlichen Ansätzen aus: vom abstrakteren zum... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_6639113" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Einleitung Stadtdaten erlauben uns zu verstehen, wie Menschen sich selbst auf verschiedenen Ebenen organisieren. Der Diskurs über die Visualisierung von Städten geht von unterschiedlichen Ansätzen aus: vom abstrakteren zum illustrativeren. In diesem Beitrag gehen wir einen weniger abstrakten, puristischen Weg und wählen einen Visualisierungsansatz, den wir "figurativ" nennen. Damit wollen wir uns von der Vorstellung lösen, daß eine Visualisierung Daten immer auf die direkteste und abstrakteste Art und Weise repräsentieren 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/6639113" 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="56094c2165d31c681eed65d52055d203" rel="nofollow" data-download="{"attachment_id":33375543,"asset_id":6639113,"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/33375543/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="10760075" href="https://coimbra.academia.edu/PenousalMachado">Penousal Machado</a><script data-card-contents-for-user="10760075" type="text/json">{"id":10760075,"first_name":"Penousal","last_name":"Machado","domain_name":"coimbra","page_name":"PenousalMachado","display_name":"Penousal Machado","profile_url":"https://coimbra.academia.edu/PenousalMachado?f_ri=3424","photo":"https://0.academia-photos.com/10760075/3227174/3798312/s65_penousal.machado.jpg"}</script></span></span></li><li class="js-paper-rank-work_6639113 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="6639113"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 6639113, container: ".js-paper-rank-work_6639113", }); });</script></li><li class="js-percentile-work_6639113 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 = 6639113; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_6639113"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_6639113 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="6639113"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 6639113; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=6639113]").text(description); $(".js-view-count-work_6639113").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_6639113").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="6639113"><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="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a><script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=6639113]'), work: {"id":6639113,"title":"Stadtportraits und Stadtkarikaturen","created_at":"2014-04-02T22:31:48.814-07:00","url":"https://www.academia.edu/6639113/Stadtportraits_und_Stadtkarikaturen?f_ri=3424","dom_id":"work_6639113","summary":"Einleitung Stadtdaten erlauben uns zu verstehen, wie Menschen sich selbst auf verschiedenen Ebenen organisieren. Der Diskurs über die Visualisierung von Städten geht von unterschiedlichen Ansätzen aus: vom abstrakteren zum illustrativeren. In diesem Beitrag gehen wir einen weniger abstrakten, puristischen Weg und wählen einen Visualisierungsansatz, den wir \"figurativ\" nennen. Damit wollen wir uns von der Vorstellung lösen, daß eine Visualisierung Daten immer auf die direkteste und abstrakteste Art und Weise repräsentieren muß.","downloadable_attachments":[{"id":33375543,"asset_id":6639113,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":10760075,"first_name":"Penousal","last_name":"Machado","domain_name":"coimbra","page_name":"PenousalMachado","display_name":"Penousal Machado","profile_url":"https://coimbra.academia.edu/PenousalMachado?f_ri=3424","photo":"https://0.academia-photos.com/10760075/3227174/3798312/s65_penousal.machado.jpg"}],"research_interests":[{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","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_49825167" data-work_id="49825167" 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/49825167/Graphical_multiscale_Web_histories_a_study_of_padprints">Graphical multiscale Web histories: a study of padprints</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">We have implemented a browser companion called PadPrints that dynamically builds a graphical history-map of visited web pages. PadPrints relies on Pad++, a zooming user interface (ZUI) development substrate, to display the history-map... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_49825167" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We have implemented a browser companion called PadPrints that dynamically builds a graphical history-map of visited web pages. PadPrints relies on Pad++, a zooming user interface (ZUI) development substrate, to display the history-map using minimal screen space. PadPrints functions in conjunction with a traditional web browser but without requiring any browser modifications. We performed two usability studies of PadPrints. The first addressed general navigation effectiveness. The second focused on history-related aspects of navigation. In tasks requiring returns to prior pages, users of PadPrints completed tasks in 61.2% of the time required by users of the same browser without PadPrints. We also observed significant decreases in the number of pages accessed when using PadPrints. Users found browsing with PadPrints more satisfying than using Netscape alone.</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/49825167" 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="6aa334a660a85639b8d2815644ea2f80" rel="nofollow" data-download="{"attachment_id":68040636,"asset_id":49825167,"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/68040636/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="187742461" href="https://independent.academia.edu/RonHightower">Ron Hightower</a><script data-card-contents-for-user="187742461" type="text/json">{"id":187742461,"first_name":"Ron","last_name":"Hightower","domain_name":"independent","page_name":"RonHightower","display_name":"Ron Hightower","profile_url":"https://independent.academia.edu/RonHightower?f_ri=3424","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_49825167 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="49825167"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 49825167, container: ".js-paper-rank-work_49825167", }); 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PadPrints relies on Pad++, a zooming user interface (ZUI) development substrate, to display the history-map using minimal screen space. PadPrints functions in conjunction with a traditional web browser but without requiring any browser modifications. We performed two usability studies of PadPrints. The first addressed general navigation effectiveness. The second focused on history-related aspects of navigation. In tasks requiring returns to prior pages, users of PadPrints completed tasks in 61.2% of the time required by users of the same browser without PadPrints. We also observed significant decreases in the number of pages accessed when using PadPrints. Users found browsing with PadPrints more satisfying than using Netscape alone.","downloadable_attachments":[{"id":68040636,"asset_id":49825167,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":187742461,"first_name":"Ron","last_name":"Hightower","domain_name":"independent","page_name":"RonHightower","display_name":"Ron Hightower","profile_url":"https://independent.academia.edu/RonHightower?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":47980,"name":"Data Visualization","url":"https://www.academia.edu/Documents/in/Data_Visualization?f_ri=3424","nofollow":true},{"id":132184,"name":"Web Navigation","url":"https://www.academia.edu/Documents/in/Web_Navigation?f_ri=3424","nofollow":true},{"id":141114,"name":"World Wide Web","url":"https://www.academia.edu/Documents/in/World_Wide_Web?f_ri=3424","nofollow":true},{"id":481229,"name":"Web Pages","url":"https://www.academia.edu/Documents/in/Web_Pages?f_ri=3424"},{"id":679783,"name":"Boolean Satisfiability","url":"https://www.academia.edu/Documents/in/Boolean_Satisfiability?f_ri=3424"},{"id":1167623,"name":"Usability Study","url":"https://www.academia.edu/Documents/in/Usability_Study?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_31006269" data-work_id="31006269" 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/31006269/A_BINARY_BAT_INSPIRED_ALGORITHM_FOR_THE_CLASSIFICATION_OF_BREAST_CANCER_DATA">A BINARY BAT INSPIRED ALGORITHM FOR THE CLASSIFICATION OF BREAST CANCER DATA</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Advancement in information and technology has made a major impact on medical science where the researchers come up with new ideas for improving the classification rate of various diseases. Breast cancer is one such disease killing large... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_31006269" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Advancement in information and technology has made a major impact on medical science where the researchers come up with new ideas for improving the classification rate of various diseases. Breast cancer is one such disease killing large number of people around the world. Diagnosing the disease at its earliest instance makes a huge impact on its treatment. The authors propose a Binary Bat Algorithm (BBA) based Feedforward Neural Network (FNN) hybrid model, where the advantages of BBA and efficiency of FNN is exploited for the classification of three benchmark breast cancer datasets into malignant and benign cases. Here BBA is used to generate a V-shaped hyperbolic tangent function for training the network and a fitness function is used for error minimization. FNNBBA based classification produces 92.61% accuracy for training data and 89.95% for testing data.</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/31006269" 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="3e3fe60b9bb9521ffc402253db7f3766" rel="nofollow" data-download="{"attachment_id":59097855,"asset_id":31006269,"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/59097855/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="21109123" rel="nofollow" href="https://independent.academia.edu/ijscaijournal">International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)</a><script data-card-contents-for-user="21109123" type="text/json">{"id":21109123,"first_name":"International Journal on Soft Computing, Artificial Intelligence and Applications","last_name":"(IJSCAI)","domain_name":"independent","page_name":"ijscaijournal","display_name":"International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)","profile_url":"https://independent.academia.edu/ijscaijournal?f_ri=3424","photo":"https://0.academia-photos.com/21109123/9710763/110171411/s65_international_journal_on_soft_computing_artificial_intelligence_and_applications._ijscai_.jpg"}</script></span></span></li><li class="js-paper-rank-work_31006269 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="31006269"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 31006269, container: ".js-paper-rank-work_31006269", }); 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Breast cancer is one such disease killing large number of people around the world. Diagnosing the disease at its earliest instance makes a huge impact on its treatment. The authors propose a Binary Bat Algorithm (BBA) based Feedforward Neural Network (FNN) hybrid model, where the advantages of BBA and efficiency of FNN is exploited for the classification of three benchmark breast cancer datasets into malignant and benign cases. Here BBA is used to generate a V-shaped hyperbolic tangent function for training the network and a fitness function is used for error minimization. FNNBBA based classification produces 92.61% accuracy for training data and 89.95% for testing data.","downloadable_attachments":[{"id":59097855,"asset_id":31006269,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21109123,"first_name":"International Journal on Soft Computing, Artificial Intelligence and Applications","last_name":"(IJSCAI)","domain_name":"independent","page_name":"ijscaijournal","display_name":"International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)","profile_url":"https://independent.academia.edu/ijscaijournal?f_ri=3424","photo":"https://0.academia-photos.com/21109123/9710763/110171411/s65_international_journal_on_soft_computing_artificial_intelligence_and_applications._ijscai_.jpg"}],"research_interests":[{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=3424","nofollow":true},{"id":1681,"name":"Decision 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Bioinformatics","url":"https://www.academia.edu/Documents/in/Data_Mining_in_Bioinformatics?f_ri=3424"},{"id":39693,"name":"Distributed Data Mining","url":"https://www.academia.edu/Documents/in/Distributed_Data_Mining?f_ri=3424"},{"id":47980,"name":"Data Visualization","url":"https://www.academia.edu/Documents/in/Data_Visualization?f_ri=3424"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=3424"},{"id":93455,"name":"Infographics and data visualization","url":"https://www.academia.edu/Documents/in/Infographics_and_data_visualization?f_ri=3424"},{"id":99804,"name":"Privacy Preserving Data Mining","url":"https://www.academia.edu/Documents/in/Privacy_Preserving_Data_Mining?f_ri=3424"},{"id":106145,"name":"Classification","url":"https://www.academia.edu/Documents/in/Classification?f_ri=3424"},{"id":413148,"name":"Big Data / Analytics / Data 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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="104893" href="https://celstec.academia.edu/PaulKirschner">Paul Kirschner</a><script data-card-contents-for-user="104893" type="text/json">{"id":104893,"first_name":"Paul","last_name":"Kirschner","domain_name":"celstec","page_name":"PaulKirschner","display_name":"Paul Kirschner","profile_url":"https://celstec.academia.edu/PaulKirschner?f_ri=3424","photo":"https://0.academia-photos.com/104893/28870/26570/s65_paul.kirschner.jpg"}</script></span></span></li><li class="js-paper-rank-work_324024 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="324024"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new 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var workId = 324024; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=324024]").text(description); $(".js-view-count-work_324024").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_324024").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="324024"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">6</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><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=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="73149" rel="nofollow" href="https://www.academia.edu/Documents/in/Business_and_Management">Business and Management</a>, <script data-card-contents-for-ri="73149" type="text/json">{"id":73149,"name":"Business and Management","url":"https://www.academia.edu/Documents/in/Business_and_Management?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="185127" rel="nofollow" href="https://www.academia.edu/Documents/in/Sense_Making">Sense Making</a><script data-card-contents-for-ri="185127" type="text/json">{"id":185127,"name":"Sense Making","url":"https://www.academia.edu/Documents/in/Sense_Making?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=324024]'), work: {"id":324024,"title":"Visualizing Argumentation: Software Tools for Collaborative and Educational Sense-Making","created_at":"2010-09-12T00:48:50.314-07:00","url":"https://www.academia.edu/324024/Visualizing_Argumentation_Software_Tools_for_Collaborative_and_Educational_Sense_Making?f_ri=3424","dom_id":"work_324024","summary":null,"downloadable_attachments":[{"id":51449867,"asset_id":324024,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":104893,"first_name":"Paul","last_name":"Kirschner","domain_name":"celstec","page_name":"PaulKirschner","display_name":"Paul Kirschner","profile_url":"https://celstec.academia.edu/PaulKirschner?f_ri=3424","photo":"https://0.academia-photos.com/104893/28870/26570/s65_paul.kirschner.jpg"}],"research_interests":[{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":73149,"name":"Business and Management","url":"https://www.academia.edu/Documents/in/Business_and_Management?f_ri=3424","nofollow":true},{"id":185127,"name":"Sense Making","url":"https://www.academia.edu/Documents/in/Sense_Making?f_ri=3424","nofollow":true},{"id":786185,"name":"Software Tool","url":"https://www.academia.edu/Documents/in/Software_Tool?f_ri=3424"},{"id":2070034,"name":"Data Format","url":"https://www.academia.edu/Documents/in/Data_Format?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_29949027" data-work_id="29949027" 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/29949027/Visual_Exploration_of_Nasal_Airflow">Visual Exploration of Nasal Airflow</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Rhinologists are often faced with the challenge of assessing nasal breathing from a functional point of view to derive effective therapeutic interventions. While the complex nasal anatomy can be revealed by visual inspection and medical... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_29949027" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Rhinologists are often faced with the challenge of assessing nasal breathing from a functional point of view to derive effective therapeutic interventions. While the complex nasal anatomy can be revealed by visual inspection and medical imaging, only vague information is available regarding the nasal airflow itself: Rhinomanometry delivers rather unspecific integral information on the pressure gradient as well as on total flow and nasal flow resistance. In this article we demonstrate how the understanding of physiological nasal breathing can be improved by simulating and visually analyzing nasal airflow, based on an anatomically correct model of the upper human respiratory tract. In particular we demonstrate how various Information Visualization (InfoVis) techniques, such as a highly scalable implementation of parallel coordinates, time series visualizations, as well as unstructured grid multi-volume rendering, all integrated within a multiple linked views framework, can be utilized to gain a deeper understanding of nasal breathing. Evaluation is accomplished by visual exploration of spatio-temporal airflow characteristics that include not only information on flow features but also on accompanying quantities such as temperature and humidity. To our knowledge, this is the first in-depth visual exploration of the physiological function of the nose over several simulated breathing cycles under consideration of a complete model of the nasal airways, realistic boundary conditions, and all physically relevant time-varying quantities.</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/29949027" 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="1826e6893a9ce6b4037ded3eec9ca88f" rel="nofollow" data-download="{"attachment_id":50406558,"asset_id":29949027,"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/50406558/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="56865591" href="https://zib.academia.edu/HHege">Hans-Christian Hege</a><script data-card-contents-for-user="56865591" type="text/json">{"id":56865591,"first_name":"Hans-Christian","last_name":"Hege","domain_name":"zib","page_name":"HHege","display_name":"Hans-Christian Hege","profile_url":"https://zib.academia.edu/HHege?f_ri=3424","photo":"https://0.academia-photos.com/56865591/15036680/15776944/s65_hans-christian.hege.png"}</script></span></span></li><li class="js-paper-rank-work_29949027 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="29949027"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 29949027, container: ".js-paper-rank-work_29949027", }); 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$(".js-view-count[data-work-id=29949027]").text(description); $(".js-view-count-work_29949027").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_29949027").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="29949027"><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="445" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Graphics">Computer Graphics</a>, <script data-card-contents-for-ri="445" type="text/json">{"id":445,"name":"Computer Graphics","url":"https://www.academia.edu/Documents/in/Computer_Graphics?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4205" rel="nofollow" href="https://www.academia.edu/Documents/in/Data_Analysis">Data Analysis</a>, <script data-card-contents-for-ri="4205" type="text/json">{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4456" rel="nofollow" href="https://www.academia.edu/Documents/in/Time_Series">Time Series</a><script data-card-contents-for-ri="4456" type="text/json">{"id":4456,"name":"Time Series","url":"https://www.academia.edu/Documents/in/Time_Series?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=29949027]'), work: {"id":29949027,"title":"Visual Exploration of Nasal Airflow","created_at":"2016-11-18T16:21:06.472-08:00","url":"https://www.academia.edu/29949027/Visual_Exploration_of_Nasal_Airflow?f_ri=3424","dom_id":"work_29949027","summary":"Rhinologists are often faced with the challenge of assessing nasal breathing from a functional point of view to derive effective therapeutic interventions. While the complex nasal anatomy can be revealed by visual inspection and medical imaging, only vague information is available regarding the nasal airflow itself: Rhinomanometry delivers rather unspecific integral information on the pressure gradient as well as on total flow and nasal flow resistance. In this article we demonstrate how the understanding of physiological nasal breathing can be improved by simulating and visually analyzing nasal airflow, based on an anatomically correct model of the upper human respiratory tract. In particular we demonstrate how various Information Visualization (InfoVis) techniques, such as a highly scalable implementation of parallel coordinates, time series visualizations, as well as unstructured grid multi-volume rendering, all integrated within a multiple linked views framework, can be utilized to gain a deeper understanding of nasal breathing. Evaluation is accomplished by visual exploration of spatio-temporal airflow characteristics that include not only information on flow features but also on accompanying quantities such as temperature and humidity. To our knowledge, this is the first in-depth visual exploration of the physiological function of the nose over several simulated breathing cycles under consideration of a complete model of the nasal airways, realistic boundary conditions, and all physically relevant time-varying quantities.","downloadable_attachments":[{"id":50406558,"asset_id":29949027,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":56865591,"first_name":"Hans-Christian","last_name":"Hege","domain_name":"zib","page_name":"HHege","display_name":"Hans-Christian Hege","profile_url":"https://zib.academia.edu/HHege?f_ri=3424","photo":"https://0.academia-photos.com/56865591/15036680/15776944/s65_hans-christian.hege.png"}],"research_interests":[{"id":445,"name":"Computer Graphics","url":"https://www.academia.edu/Documents/in/Computer_Graphics?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=3424","nofollow":true},{"id":4456,"name":"Time Series","url":"https://www.academia.edu/Documents/in/Time_Series?f_ri=3424","nofollow":true},{"id":48591,"name":"Data Visualisation","url":"https://www.academia.edu/Documents/in/Data_Visualisation?f_ri=3424"},{"id":54768,"name":"Biomedical Imaging","url":"https://www.academia.edu/Documents/in/Biomedical_Imaging?f_ri=3424"},{"id":69542,"name":"Computer Simulation","url":"https://www.academia.edu/Documents/in/Computer_Simulation?f_ri=3424"},{"id":110397,"name":"Interactive Visualization","url":"https://www.academia.edu/Documents/in/Interactive_Visualization?f_ri=3424"},{"id":133177,"name":"Temperature","url":"https://www.academia.edu/Documents/in/Temperature?f_ri=3424"},{"id":159371,"name":"Flow Visualization","url":"https://www.academia.edu/Documents/in/Flow_Visualization?f_ri=3424"},{"id":202428,"name":"Respiration","url":"https://www.academia.edu/Documents/in/Respiration?f_ri=3424"},{"id":309687,"name":"Function Point","url":"https://www.academia.edu/Documents/in/Function_Point?f_ri=3424"},{"id":328646,"name":"Flow visualisation","url":"https://www.academia.edu/Documents/in/Flow_visualisation?f_ri=3424"},{"id":329268,"name":"Medical Image","url":"https://www.academia.edu/Documents/in/Medical_Image?f_ri=3424"},{"id":342030,"name":"Flow resistance","url":"https://www.academia.edu/Documents/in/Flow_resistance?f_ri=3424"},{"id":368001,"name":"Exploratory Data Analysis","url":"https://www.academia.edu/Documents/in/Exploratory_Data_Analysis?f_ri=3424"},{"id":394477,"name":"Time Dependent","url":"https://www.academia.edu/Documents/in/Time_Dependent?f_ri=3424"},{"id":444369,"name":"Humidity","url":"https://www.academia.edu/Documents/in/Humidity?f_ri=3424"},{"id":509782,"name":"Respiratory Tract Infections","url":"https://www.academia.edu/Documents/in/Respiratory_Tract_Infections?f_ri=3424"},{"id":615540,"name":"Scientific Data","url":"https://www.academia.edu/Documents/in/Scientific_Data?f_ri=3424"},{"id":720550,"name":"Volume Rendering","url":"https://www.academia.edu/Documents/in/Volume_Rendering?f_ri=3424"},{"id":837258,"name":"Unstructured Grid","url":"https://www.academia.edu/Documents/in/Unstructured_Grid?f_ri=3424"},{"id":867022,"name":"Boundary Condition","url":"https://www.academia.edu/Documents/in/Boundary_Condition?f_ri=3424"},{"id":959921,"name":"X ray Computed Tomography","url":"https://www.academia.edu/Documents/in/X_ray_Computed_Tomography?f_ri=3424"},{"id":985144,"name":"Nose","url":"https://www.academia.edu/Documents/in/Nose?f_ri=3424"},{"id":1277435,"name":"Pressure Gradient","url":"https://www.academia.edu/Documents/in/Pressure_Gradient?f_ri=3424"},{"id":1480215,"name":"Time varying","url":"https://www.academia.edu/Documents/in/Time_varying?f_ri=3424"},{"id":1778690,"name":"Pulmonary ventilation","url":"https://www.academia.edu/Documents/in/Pulmonary_ventilation?f_ri=3424"},{"id":2364406,"name":"Visual Inspection","url":"https://www.academia.edu/Documents/in/Visual_Inspection?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_3849661" data-work_id="3849661" 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/3849661/Techniques_for_precision_based_visual_analysis_of_projected_data">Techniques for precision-based visual analysis of projected data</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 analysis of high-dimensional data is an important, yet inherently difficult problem. Projection techniques such as PCA, MDS, and SOM can be used to map high-dimensional data to 2D display space. However, projections typically incur a... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_3849661" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The analysis of high-dimensional data is an important, yet inherently difficult problem. Projection techniques such as PCA, MDS, and SOM can be used to map high-dimensional data to 2D display space. However, projections typically incur a loss in information. Often uncertainty exists regarding the precision of the projection as compared with its original data characteristics. While the output quality of these projection techniques can be discussed in terms of algorithmic assessment, visualization is often helpful for better understanding the results.</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/3849661" 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="e5d71b304e816a61e08a31dca6180942" rel="nofollow" data-download="{"attachment_id":50115841,"asset_id":3849661,"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/50115841/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="4738380" href="https://tu-darmstadt.academia.edu/TatianavonLandesberger">Tatiana von Landesberger</a><script data-card-contents-for-user="4738380" type="text/json">{"id":4738380,"first_name":"Tatiana","last_name":"von Landesberger","domain_name":"tu-darmstadt","page_name":"TatianavonLandesberger","display_name":"Tatiana von Landesberger","profile_url":"https://tu-darmstadt.academia.edu/TatianavonLandesberger?f_ri=3424","photo":"https://0.academia-photos.com/4738380/2006597/2367354/s65_tatiana.von_landesberger.jpg"}</script></span></span></li><li class="js-paper-rank-work_3849661 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="3849661"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 3849661, container: ".js-paper-rank-work_3849661", }); 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$(".js-view-count[data-work-id=3849661]").text(description); $(".js-view-count-work_3849661").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_3849661").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="3849661"><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="1440" rel="nofollow" href="https://www.academia.edu/Documents/in/Visualization">Visualization</a>, <script data-card-contents-for-ri="1440" type="text/json">{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4205" rel="nofollow" href="https://www.academia.edu/Documents/in/Data_Analysis">Data Analysis</a>, <script data-card-contents-for-ri="4205" type="text/json">{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5069" rel="nofollow" href="https://www.academia.edu/Documents/in/Principal_Component_Analysis">Principal Component Analysis</a><script data-card-contents-for-ri="5069" type="text/json">{"id":5069,"name":"Principal Component Analysis","url":"https://www.academia.edu/Documents/in/Principal_Component_Analysis?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=3849661]'), work: {"id":3849661,"title":"Techniques for precision-based visual analysis of projected data","created_at":"2013-07-03T17:38:56.506-07:00","url":"https://www.academia.edu/3849661/Techniques_for_precision_based_visual_analysis_of_projected_data?f_ri=3424","dom_id":"work_3849661","summary":"The analysis of high-dimensional data is an important, yet inherently difficult problem. Projection techniques such as PCA, MDS, and SOM can be used to map high-dimensional data to 2D display space. However, projections typically incur a loss in information. Often uncertainty exists regarding the precision of the projection as compared with its original data characteristics. While the output quality of these projection techniques can be discussed in terms of algorithmic assessment, visualization is often helpful for better understanding the results.","downloadable_attachments":[{"id":50115841,"asset_id":3849661,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":4738380,"first_name":"Tatiana","last_name":"von Landesberger","domain_name":"tu-darmstadt","page_name":"TatianavonLandesberger","display_name":"Tatiana von Landesberger","profile_url":"https://tu-darmstadt.academia.edu/TatianavonLandesberger?f_ri=3424","photo":"https://0.academia-photos.com/4738380/2006597/2367354/s65_tatiana.von_landesberger.jpg"}],"research_interests":[{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=3424","nofollow":true},{"id":5069,"name":"Principal Component Analysis","url":"https://www.academia.edu/Documents/in/Principal_Component_Analysis?f_ri=3424","nofollow":true},{"id":48999,"name":"Information","url":"https://www.academia.edu/Documents/in/Information?f_ri=3424"},{"id":55556,"name":"Visual Analysis","url":"https://www.academia.edu/Documents/in/Visual_Analysis?f_ri=3424"},{"id":128282,"name":"Visual System","url":"https://www.academia.edu/Documents/in/Visual_System?f_ri=3424"},{"id":133934,"name":"Levels of Abstraction","url":"https://www.academia.edu/Documents/in/Levels_of_Abstraction?f_ri=3424"},{"id":161594,"name":"High Dimensional Data","url":"https://www.academia.edu/Documents/in/High_Dimensional_Data?f_ri=3424"},{"id":180347,"name":"Visualisation","url":"https://www.academia.edu/Documents/in/Visualisation?f_ri=3424"},{"id":445981,"name":"Point Cloud","url":"https://www.academia.edu/Documents/in/Point_Cloud?f_ri=3424"},{"id":557803,"name":"Self Organized Map","url":"https://www.academia.edu/Documents/in/Self_Organized_Map?f_ri=3424"},{"id":558959,"name":"Interactive Monitoring System","url":"https://www.academia.edu/Documents/in/Interactive_Monitoring_System?f_ri=3424"},{"id":2070034,"name":"Data Format","url":"https://www.academia.edu/Documents/in/Data_Format?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_21298725" data-work_id="21298725" 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/21298725/Three_key_levers_for_achieving_resilience_in_medication_delivery_with_information_technology">Three key levers for achieving resilience in medication delivery with information technology</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Over the past several years, there has been an increase in interest in translating human factors knowledge and methods, primarily used in complex, event-driven, sociotechnical settings such as aviation, to health care. In this article, we... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_21298725" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Over the past several years, there has been an increase in interest in translating human factors knowledge and methods, primarily used in complex, event-driven, sociotechnical settings such as aviation, to health care. In this article, we overview the primary concepts in cognitive systems engineering that may aid in formulating interventions in a variety of diverse medical settings to reduce the likelihood of patient harm. To improve resilience in medication delivery, we propose immediately incorporating 3 key levers: (1) scenario-based design and evaluation of interventions, (2) advanced information visualization techniques to reduce data overload in the electronic medical record, and (3) explicit consideration and documentation of asynchronous, interdisciplinary teamwork support during software requirements analysis, including a workload shifting analysis. For long-term progress, we recommend investing in research to better understand technical work in health care, specifically task requirements in work domains and the trade-offs and strategies that workers use to meet these demands. FIGURE 1. Cognitive system triad. Patterson et al</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/21298725" 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="e4f92f0362ae16cda374ca229b4c5f8e" rel="nofollow" data-download="{"attachment_id":41805262,"asset_id":21298725,"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/41805262/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="42411568" href="https://independent.academia.edu/EmilieRoth">Emilie Roth</a><script data-card-contents-for-user="42411568" type="text/json">{"id":42411568,"first_name":"Emilie","last_name":"Roth","domain_name":"independent","page_name":"EmilieRoth","display_name":"Emilie Roth","profile_url":"https://independent.academia.edu/EmilieRoth?f_ri=3424","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_21298725 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="21298725"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 21298725, container: ".js-paper-rank-work_21298725", }); });</script></li><li class="js-percentile-work_21298725 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 = 21298725; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_21298725"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_21298725 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="21298725"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 21298725; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=21298725]").text(description); $(".js-view-count-work_21298725").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_21298725").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="21298725"><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="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=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3286" rel="nofollow" href="https://www.academia.edu/Documents/in/Patient_Safety">Patient Safety</a>, <script data-card-contents-for-ri="3286" type="text/json">{"id":3286,"name":"Patient Safety","url":"https://www.academia.edu/Documents/in/Patient_Safety?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","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=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=21298725]'), work: {"id":21298725,"title":"Three key levers for achieving resilience in medication delivery with information technology","created_at":"2016-01-31T06:37:04.671-08:00","url":"https://www.academia.edu/21298725/Three_key_levers_for_achieving_resilience_in_medication_delivery_with_information_technology?f_ri=3424","dom_id":"work_21298725","summary":"Over the past several years, there has been an increase in interest in translating human factors knowledge and methods, primarily used in complex, event-driven, sociotechnical settings such as aviation, to health care. In this article, we overview the primary concepts in cognitive systems engineering that may aid in formulating interventions in a variety of diverse medical settings to reduce the likelihood of patient harm. To improve resilience in medication delivery, we propose immediately incorporating 3 key levers: (1) scenario-based design and evaluation of interventions, (2) advanced information visualization techniques to reduce data overload in the electronic medical record, and (3) explicit consideration and documentation of asynchronous, interdisciplinary teamwork support during software requirements analysis, including a workload shifting analysis. For long-term progress, we recommend investing in research to better understand technical work in health care, specifically task requirements in work domains and the trade-offs and strategies that workers use to meet these demands. FIGURE 1. Cognitive system triad. Patterson et al","downloadable_attachments":[{"id":41805262,"asset_id":21298725,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":42411568,"first_name":"Emilie","last_name":"Roth","domain_name":"independent","page_name":"EmilieRoth","display_name":"Emilie Roth","profile_url":"https://independent.academia.edu/EmilieRoth?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":491,"name":"Information Technology","url":"https://www.academia.edu/Documents/in/Information_Technology?f_ri=3424","nofollow":true},{"id":3286,"name":"Patient Safety","url":"https://www.academia.edu/Documents/in/Patient_Safety?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":3762,"name":"Human Factors","url":"https://www.academia.edu/Documents/in/Human_Factors?f_ri=3424","nofollow":true},{"id":4441,"name":"Health Care","url":"https://www.academia.edu/Documents/in/Health_Care?f_ri=3424"},{"id":169703,"name":"Software Requirements","url":"https://www.academia.edu/Documents/in/Software_Requirements?f_ri=3424"},{"id":212809,"name":"Scenario based design","url":"https://www.academia.edu/Documents/in/Scenario_based_design?f_ri=3424"},{"id":425872,"name":"Medical Error","url":"https://www.academia.edu/Documents/in/Medical_Error?f_ri=3424"},{"id":968490,"name":"Cognitive Systems Engineering","url":"https://www.academia.edu/Documents/in/Cognitive_Systems_Engineering?f_ri=3424"},{"id":1207367,"name":"Electronic Medical Record","url":"https://www.academia.edu/Documents/in/Electronic_Medical_Record?f_ri=3424"},{"id":1778854,"name":"Medical Informatic","url":"https://www.academia.edu/Documents/in/Medical_Informatic?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_35170411" data-work_id="35170411" 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/35170411/Ci%C3%AAncia_e_Tecnologia_Dados_algoritmos_e_espa%C3%A7os_Abstra%C3%A7%C3%B5es_matem%C3%A1ticas_como_media%C3%A7%C3%A3o_do_mundo">Ciência e Tecnologia Dados, algoritmos e espaços Abstrações matemáticas como mediação do mundo</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">A experiência humana, enquanto seres cons- cientes de sua história, está intimamente ligada com a capacidade de registrar informações so- bre suas práticas e pensamentos. Dessa forma a capacidade de gerar e registrar dados é parte... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_35170411" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">A experiência humana, enquanto seres cons- cientes de sua história, está intimamente ligada com a capacidade de registrar informações so- bre suas práticas e pensamentos. Dessa forma a capacidade de gerar e registrar dados é parte fundamental de nosso processo histórico. Os dados do período pré-digital, aqueles baseados em inscrições em suportes físicos, ainda que representem abstrações materiais, conservam uma relação clara e definida com seu suporte de inscrição. É inegável que a linguagem, os sis- temas de escrita e seus métodos de inscrição, sejam elementos fundamentais na construção de nossa percepção de mundo e sobre nosso lugar no espaço. Também nos parece claro que existe uma certa distância ontológica entre entre o produto desse processo (os dados) e nossa percepção. Com a vertiginosa digitaliza- ção das informações e a utilização de sistemas computacionais em larga escala o volume de dados gerados a cada dia é maior do que todo o conhecimento humano registrado antes da utilização de sistemas computacionais. Os dados deixaram de ser apenas o registro es- tático para se tornarem protagonista de uma nova percepção social, cultural e espacial. Cabe nos perguntar como a mudança de sistemas de inscrição de informações modifica nossa percepção do espaço e qual é o papel dos al- goritmos na relação sujeito-objeto?</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/35170411" 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="97ca0a0a02ab9048db8885cc9d7ebe53" rel="nofollow" data-download="{"attachment_id":55032351,"asset_id":35170411,"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/55032351/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="36833771" href="https://ufg.academia.edu/marcilonmelo">Marck Al (Marcilon Almeida)</a><script data-card-contents-for-user="36833771" type="text/json">{"id":36833771,"first_name":"Marck","last_name":"Al (Marcilon Almeida)","domain_name":"ufg","page_name":"marcilonmelo","display_name":"Marck Al (Marcilon Almeida)","profile_url":"https://ufg.academia.edu/marcilonmelo?f_ri=3424","photo":"https://0.academia-photos.com/36833771/10865654/29637913/s65_marck.al_marcilon_almeida_.jpg"}</script></span></span></li><li class="js-paper-rank-work_35170411 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="35170411"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 35170411, container: ".js-paper-rank-work_35170411", }); });</script></li><li class="js-percentile-work_35170411 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 = 35170411; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_35170411"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_35170411 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="35170411"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 35170411; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=35170411]").text(description); $(".js-view-count-work_35170411").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_35170411").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="35170411"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="428" rel="nofollow" href="https://www.academia.edu/Documents/in/Algorithms">Algorithms</a>, <script data-card-contents-for-ri="428" type="text/json">{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="988" rel="nofollow" href="https://www.academia.edu/Documents/in/Design">Design</a>, <script data-card-contents-for-ri="988" type="text/json">{"id":988,"name":"Design","url":"https://www.academia.edu/Documents/in/Design?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="10174" rel="nofollow" href="https://www.academia.edu/Documents/in/Mediation">Mediation</a><script data-card-contents-for-ri="10174" type="text/json">{"id":10174,"name":"Mediation","url":"https://www.academia.edu/Documents/in/Mediation?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=35170411]'), work: {"id":35170411,"title":"Ciência e Tecnologia Dados, algoritmos e espaços Abstrações matemáticas como mediação do mundo","created_at":"2017-11-17T04:13:34.652-08:00","url":"https://www.academia.edu/35170411/Ci%C3%AAncia_e_Tecnologia_Dados_algoritmos_e_espa%C3%A7os_Abstra%C3%A7%C3%B5es_matem%C3%A1ticas_como_media%C3%A7%C3%A3o_do_mundo?f_ri=3424","dom_id":"work_35170411","summary":"A experiência humana, enquanto seres cons- cientes de sua história, está intimamente ligada com a capacidade de registrar informações so- bre suas práticas e pensamentos. Dessa forma a capacidade de gerar e registrar dados é parte fundamental de nosso processo histórico. Os dados do período pré-digital, aqueles baseados em inscrições em suportes físicos, ainda que representem abstrações materiais, conservam uma relação clara e definida com seu suporte de inscrição. É inegável que a linguagem, os sis- temas de escrita e seus métodos de inscrição, sejam elementos fundamentais na construção de nossa percepção de mundo e sobre nosso lugar no espaço. Também nos parece claro que existe uma certa distância ontológica entre entre o produto desse processo (os dados) e nossa percepção. Com a vertiginosa digitaliza- ção das informações e a utilização de sistemas computacionais em larga escala o volume de dados gerados a cada dia é maior do que todo o conhecimento humano registrado antes da utilização de sistemas computacionais. Os dados deixaram de ser apenas o registro es- tático para se tornarem protagonista de uma nova percepção social, cultural e espacial. Cabe nos perguntar como a mudança de sistemas de inscrição de informações modifica nossa percepção do espaço e qual é o papel dos al- goritmos na relação sujeito-objeto?","downloadable_attachments":[{"id":55032351,"asset_id":35170411,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":36833771,"first_name":"Marck","last_name":"Al (Marcilon Almeida)","domain_name":"ufg","page_name":"marcilonmelo","display_name":"Marck Al (Marcilon Almeida)","profile_url":"https://ufg.academia.edu/marcilonmelo?f_ri=3424","photo":"https://0.academia-photos.com/36833771/10865654/29637913/s65_marck.al_marcilon_almeida_.jpg"}],"research_interests":[{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=3424","nofollow":true},{"id":988,"name":"Design","url":"https://www.academia.edu/Documents/in/Design?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":10174,"name":"Mediation","url":"https://www.academia.edu/Documents/in/Mediation?f_ri=3424","nofollow":true},{"id":1322454,"name":"Dados","url":"https://www.academia.edu/Documents/in/Dados?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_8955515" data-work_id="8955515" 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/8955515/The_impact_of_social_information_on_visual_judgments">The impact of social information on visual judgments</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Social visualization systems have emerged to support collective intelligence-driven analysis of a growing influx of open data. As with many other online systems, social signals (e.g., forums, polls) are commonly integrated to drive use.... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_8955515" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Social visualization systems have emerged to support collective intelligence-driven analysis of a growing influx of open data. As with many other online systems, social signals (e.g., forums, polls) are commonly integrated to drive use. Unfortunately, the same social features that can provide rapid, high-accuracy analysis are coupled with the pitfalls of any social system. Through an experiment involving over 300 subjects, we address how social information signals (social proof) affect quantitative judgments in the context of graphical perception. We identify how unbiased social signals lead to fewer errors over non-social settings and conversely, how biased signals lead to more errors. We further reflect on how systematic bias nullifies certain collective intelligence benefits, and we provide evidence of the formation of information cascades. We describe how these findings can be applied to collaborative visualization systems to produce more accurate individual interpretations in social contexts.</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/8955515" 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="9820cb76554d31217adba5a2f6a1bc9c" rel="nofollow" data-download="{"attachment_id":47937494,"asset_id":8955515,"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/47937494/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="19906498" href="https://umich.academia.edu/JessicaHullman">Jessica Hullman</a><script data-card-contents-for-user="19906498" type="text/json">{"id":19906498,"first_name":"Jessica","last_name":"Hullman","domain_name":"umich","page_name":"JessicaHullman","display_name":"Jessica Hullman","profile_url":"https://umich.academia.edu/JessicaHullman?f_ri=3424","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_8955515 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="8955515"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 8955515, container: ".js-paper-rank-work_8955515", }); });</script></li><li class="js-percentile-work_8955515 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 = 8955515; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_8955515"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_8955515 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="8955515"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 8955515; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=8955515]").text(description); $(".js-view-count-work_8955515").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_8955515").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="8955515"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">8</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2878" rel="nofollow" href="https://www.academia.edu/Documents/in/Collective_Intelligence">Collective Intelligence</a>, <script data-card-contents-for-ri="2878" type="text/json">{"id":2878,"name":"Collective Intelligence","url":"https://www.academia.edu/Documents/in/Collective_Intelligence?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="30603" rel="nofollow" href="https://www.academia.edu/Documents/in/Social_Influence">Social Influence</a>, <script data-card-contents-for-ri="30603" type="text/json">{"id":30603,"name":"Social Influence","url":"https://www.academia.edu/Documents/in/Social_Influence?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="83478" rel="nofollow" href="https://www.academia.edu/Documents/in/Social_Context">Social Context</a><script data-card-contents-for-ri="83478" type="text/json">{"id":83478,"name":"Social Context","url":"https://www.academia.edu/Documents/in/Social_Context?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=8955515]'), work: {"id":8955515,"title":"The impact of social information on visual judgments","created_at":"2014-10-25T05:56:28.059-07:00","url":"https://www.academia.edu/8955515/The_impact_of_social_information_on_visual_judgments?f_ri=3424","dom_id":"work_8955515","summary":"Social visualization systems have emerged to support collective intelligence-driven analysis of a growing influx of open data. As with many other online systems, social signals (e.g., forums, polls) are commonly integrated to drive use. Unfortunately, the same social features that can provide rapid, high-accuracy analysis are coupled with the pitfalls of any social system. Through an experiment involving over 300 subjects, we address how social information signals (social proof) affect quantitative judgments in the context of graphical perception. We identify how unbiased social signals lead to fewer errors over non-social settings and conversely, how biased signals lead to more errors. We further reflect on how systematic bias nullifies certain collective intelligence benefits, and we provide evidence of the formation of information cascades. We describe how these findings can be applied to collaborative visualization systems to produce more accurate individual interpretations in social contexts.","downloadable_attachments":[{"id":47937494,"asset_id":8955515,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":19906498,"first_name":"Jessica","last_name":"Hullman","domain_name":"umich","page_name":"JessicaHullman","display_name":"Jessica Hullman","profile_url":"https://umich.academia.edu/JessicaHullman?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2878,"name":"Collective Intelligence","url":"https://www.academia.edu/Documents/in/Collective_Intelligence?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":30603,"name":"Social Influence","url":"https://www.academia.edu/Documents/in/Social_Influence?f_ri=3424","nofollow":true},{"id":83478,"name":"Social Context","url":"https://www.academia.edu/Documents/in/Social_Context?f_ri=3424","nofollow":true},{"id":128282,"name":"Visual System","url":"https://www.academia.edu/Documents/in/Visual_System?f_ri=3424"},{"id":372231,"name":"Social System","url":"https://www.academia.edu/Documents/in/Social_System?f_ri=3424"},{"id":783974,"name":"Information Cascades","url":"https://www.academia.edu/Documents/in/Information_Cascades?f_ri=3424"},{"id":851044,"name":"Computer Human Interaction","url":"https://www.academia.edu/Documents/in/Computer_Human_Interaction?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_14993743" data-work_id="14993743" 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/14993743/Interactive_simulation_of_fire_in_virtual_building_environments">Interactive simulation of fire in virtual building 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">This paper describes the integration of the Berkeley Architectural Walkthrough Program with the National Institute of Standards and Technology's CFAST fire simulator. The integrated system creates a simulation based design environment for... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_14993743" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper describes the integration of the Berkeley Architectural Walkthrough Program with the National Institute of Standards and Technology's CFAST fire simulator. The integrated system creates a simulation based design environment for building fire safety systems; it also allows fire safety engineers to evaluate the performance of building designs, and helps make performance-based fire codes possible. We demonstrate that the visibility preprocessing and spatial decomposition used in the Walkthru also allow optimization of the data transfer between the simulator and visualizer. This optimization improves the ability to use available communication bandwidth to get needed simulation data to the Walkthru in the best order to visualize results in real time; an appropriate communication model and data structures are presented. General issues arising in the integration of environmental simulations and virtual worlds are discussed, as well as the specifics of the Walkthru-CFAST system, including relevant aspects of the user interface and of the visualization and simulation programming interfaces. A recommendation is made to structure future simulators in such a way that they can selectively direct their computational efforts toward specified spacetime regions of interest and thereby support real-time, interactive virtual environment visualization more effectively.</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/14993743" 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="d6c7739083d5fa8143d747c753727313" rel="nofollow" data-download="{"attachment_id":43668878,"asset_id":14993743,"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/43668878/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="33990694" href="https://berkeley.academia.edu/CarloS%C3%A9quin">Carlo H Séquin</a><script data-card-contents-for-user="33990694" type="text/json">{"id":33990694,"first_name":"Carlo","last_name":"Séquin","domain_name":"berkeley","page_name":"CarloSéquin","display_name":"Carlo H Séquin","profile_url":"https://berkeley.academia.edu/CarloS%C3%A9quin?f_ri=3424","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_14993743 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="14993743"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 14993743, container: ".js-paper-rank-work_14993743", }); });</script></li><li class="js-percentile-work_14993743 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 = 14993743; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_14993743"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_14993743 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="14993743"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 14993743; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=14993743]").text(description); $(".js-view-count-work_14993743").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_14993743").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="14993743"><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="447" rel="nofollow" href="https://www.academia.edu/Documents/in/Scientific_Visualization">Scientific Visualization</a>, <script data-card-contents-for-ri="447" type="text/json">{"id":447,"name":"Scientific Visualization","url":"https://www.academia.edu/Documents/in/Scientific_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="11119" rel="nofollow" href="https://www.academia.edu/Documents/in/User_Interface">User Interface</a>, <script data-card-contents-for-ri="11119" type="text/json">{"id":11119,"name":"User Interface","url":"https://www.academia.edu/Documents/in/User_Interface?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="21842" rel="nofollow" href="https://www.academia.edu/Documents/in/Virtual_Worlds">Virtual Worlds</a><script data-card-contents-for-ri="21842" type="text/json">{"id":21842,"name":"Virtual Worlds","url":"https://www.academia.edu/Documents/in/Virtual_Worlds?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=14993743]'), work: {"id":14993743,"title":"Interactive simulation of fire in virtual building environments","created_at":"2015-08-17T15:56:11.861-07:00","url":"https://www.academia.edu/14993743/Interactive_simulation_of_fire_in_virtual_building_environments?f_ri=3424","dom_id":"work_14993743","summary":"This paper describes the integration of the Berkeley Architectural Walkthrough Program with the National Institute of Standards and Technology's CFAST fire simulator. The integrated system creates a simulation based design environment for building fire safety systems; it also allows fire safety engineers to evaluate the performance of building designs, and helps make performance-based fire codes possible. We demonstrate that the visibility preprocessing and spatial decomposition used in the Walkthru also allow optimization of the data transfer between the simulator and visualizer. This optimization improves the ability to use available communication bandwidth to get needed simulation data to the Walkthru in the best order to visualize results in real time; an appropriate communication model and data structures are presented. General issues arising in the integration of environmental simulations and virtual worlds are discussed, as well as the specifics of the Walkthru-CFAST system, including relevant aspects of the user interface and of the visualization and simulation programming interfaces. A recommendation is made to structure future simulators in such a way that they can selectively direct their computational efforts toward specified spacetime regions of interest and thereby support real-time, interactive virtual environment visualization more effectively.","downloadable_attachments":[{"id":43668878,"asset_id":14993743,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":33990694,"first_name":"Carlo","last_name":"Séquin","domain_name":"berkeley","page_name":"CarloSéquin","display_name":"Carlo H Séquin","profile_url":"https://berkeley.academia.edu/CarloS%C3%A9quin?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":447,"name":"Scientific Visualization","url":"https://www.academia.edu/Documents/in/Scientific_Visualization?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":11119,"name":"User Interface","url":"https://www.academia.edu/Documents/in/User_Interface?f_ri=3424","nofollow":true},{"id":21842,"name":"Virtual Worlds","url":"https://www.academia.edu/Documents/in/Virtual_Worlds?f_ri=3424","nofollow":true},{"id":49007,"name":"Communication model","url":"https://www.academia.edu/Documents/in/Communication_model?f_ri=3424"},{"id":50642,"name":"Virtual Reality","url":"https://www.academia.edu/Documents/in/Virtual_Reality?f_ri=3424"},{"id":53994,"name":"Data Structure","url":"https://www.academia.edu/Documents/in/Data_Structure?f_ri=3424"},{"id":186204,"name":"Building Design","url":"https://www.academia.edu/Documents/in/Building_Design?f_ri=3424"},{"id":229390,"name":"Real Time","url":"https://www.academia.edu/Documents/in/Real_Time?f_ri=3424"},{"id":241365,"name":"Fire safety","url":"https://www.academia.edu/Documents/in/Fire_safety?f_ri=3424"},{"id":277283,"name":"Data transfer","url":"https://www.academia.edu/Documents/in/Data_transfer?f_ri=3424"},{"id":296635,"name":"Interactive Learning Environment","url":"https://www.academia.edu/Documents/in/Interactive_Learning_Environment?f_ri=3424"},{"id":838716,"name":"Interactive Simulation","url":"https://www.academia.edu/Documents/in/Interactive_Simulation?f_ri=3424"},{"id":1372278,"name":"Region of Interest","url":"https://www.academia.edu/Documents/in/Region_of_Interest?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_74700502" data-work_id="74700502" 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/74700502/On_the_Visual_Design_of_ERP_Systems_The_Role_of_Information_Complexity_Presentation_and_Human_Factors">On the Visual Design of ERP Systems The – Role of Information Complexity, Presentation and Human Factors</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 investment in Enterprise resource planning (ERP) systems is indispensable for manufacturing companies to obtain competitive advantages in the globalized market. However, end-users are confronted with complex interfaces and poor... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_74700502" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The investment in Enterprise resource planning (ERP) systems is indispensable for manufacturing companies to obtain competitive advantages in the globalized market. However, end-users are confronted with complex interfaces and poor usability of these systems. In the present multi-factorial experiment, we examined the effects of information complexity and presentation as a key aspect of usability with consideration of human factors on decision quality. By using alphanumeric tables of simulated ERP system data to make a decision, users' decision quality dropped with increasing information complexity and the use of a poor presentation. Furthermore, interactive effects of two different aspects of information complexity (data amount and task complexity) as well as compensatory effects through human factors were revealed. These findings show the importance of empirical user studies in this field and provide several practical implication. Especially, user-centered design processes can substantially contribute to a successful implementation of complex information systems, such as ERP 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/74700502" 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="cfc4771a11a29a96383c3b69ca2721fc" rel="nofollow" data-download="{"attachment_id":83628302,"asset_id":74700502,"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/83628302/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="3342375" href="https://rwth-aachen.academia.edu/MartinaZiefle">Martina Ziefle</a><script data-card-contents-for-user="3342375" type="text/json">{"id":3342375,"first_name":"Martina","last_name":"Ziefle","domain_name":"rwth-aachen","page_name":"MartinaZiefle","display_name":"Martina Ziefle","profile_url":"https://rwth-aachen.academia.edu/MartinaZiefle?f_ri=3424","photo":"https://0.academia-photos.com/3342375/1120502/1403415/s65_martina.ziefle.jpg"}</script></span></span></li><li class="js-paper-rank-work_74700502 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="74700502"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 74700502, container: ".js-paper-rank-work_74700502", }); });</script></li><li class="js-percentile-work_74700502 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 = 74700502; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_74700502"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_74700502 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="74700502"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74700502; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74700502]").text(description); $(".js-view-count-work_74700502").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_74700502").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="74700502"><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="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=3424","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=3424","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=3424","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=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=74700502]'), work: {"id":74700502,"title":"On the Visual Design of ERP Systems The – Role of Information Complexity, Presentation and Human Factors","created_at":"2022-03-27T08:32:52.419-07:00","url":"https://www.academia.edu/74700502/On_the_Visual_Design_of_ERP_Systems_The_Role_of_Information_Complexity_Presentation_and_Human_Factors?f_ri=3424","dom_id":"work_74700502","summary":"The investment in Enterprise resource planning (ERP) systems is indispensable for manufacturing companies to obtain competitive advantages in the globalized market. However, end-users are confronted with complex interfaces and poor usability of these systems. In the present multi-factorial experiment, we examined the effects of information complexity and presentation as a key aspect of usability with consideration of human factors on decision quality. By using alphanumeric tables of simulated ERP system data to make a decision, users' decision quality dropped with increasing information complexity and the use of a poor presentation. Furthermore, interactive effects of two different aspects of information complexity (data amount and task complexity) as well as compensatory effects through human factors were revealed. These findings show the importance of empirical user studies in this field and provide several practical implication. Especially, user-centered design processes can substantially contribute to a successful implementation of complex information systems, such as ERP systems.","downloadable_attachments":[{"id":83628302,"asset_id":74700502,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":3342375,"first_name":"Martina","last_name":"Ziefle","domain_name":"rwth-aachen","page_name":"MartinaZiefle","display_name":"Martina Ziefle","profile_url":"https://rwth-aachen.academia.edu/MartinaZiefle?f_ri=3424","photo":"https://0.academia-photos.com/3342375/1120502/1403415/s65_martina.ziefle.jpg"}],"research_interests":[{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=3424","nofollow":true},{"id":236,"name":"Cognitive Psychology","url":"https://www.academia.edu/Documents/in/Cognitive_Psychology?f_ri=3424","nofollow":true},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=3424","nofollow":true},{"id":491,"name":"Information Technology","url":"https://www.academia.edu/Documents/in/Information_Technology?f_ri=3424","nofollow":true},{"id":492,"name":"Management Information Systems","url":"https://www.academia.edu/Documents/in/Management_Information_Systems?f_ri=3424"},{"id":1335,"name":"Supply Chain Management","url":"https://www.academia.edu/Documents/in/Supply_Chain_Management?f_ri=3424"},{"id":1615,"name":"Usability","url":"https://www.academia.edu/Documents/in/Usability?f_ri=3424"},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424"},{"id":3762,"name":"Human Factors","url":"https://www.academia.edu/Documents/in/Human_Factors?f_ri=3424"},{"id":8367,"name":"Complexity","url":"https://www.academia.edu/Documents/in/Complexity?f_ri=3424"},{"id":9135,"name":"The Internet of Things","url":"https://www.academia.edu/Documents/in/The_Internet_of_Things?f_ri=3424"},{"id":36837,"name":"Information Processing","url":"https://www.academia.edu/Documents/in/Information_Processing?f_ri=3424"},{"id":349482,"name":"User Diversity","url":"https://www.academia.edu/Documents/in/User_Diversity?f_ri=3424"},{"id":1192842,"name":"Industrial Internet","url":"https://www.academia.edu/Documents/in/Industrial_Internet?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_69940105" data-work_id="69940105" 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/69940105/ShakerVis_Visual_analysis_of_segment_variation_of_German_translations_of_Shakespeare_s_Othello">ShakerVis: Visual analysis of segment variation of German translations of Shakespeare’s Othello</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">is one of the world's greatest writers. His plays have been translated into every major living language. In some languages, his plays have been re-translated many times. These translations and re-translations have evolved for about 250... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_69940105" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">is one of the world's greatest writers. His plays have been translated into every major living language. In some languages, his plays have been re-translated many times. These translations and re-translations have evolved for about 250 years. Studying variations in translations of world cultural heritage texts is of cross-cultural interest for arts and humanities researchers. The variations between re-translations are due to numerous factors including the differing purposes of translations, genetic relations, cultural and intercultural influences, rivalry between translators, and their varying competence. A team of Digital Humanities researchers has collected an experimental corpus of fifty-five different German re-translations of Shakespeare's play, Othello. The re-translations date from between 1766 and 2010. A sub-corpus of 32 re-translations has been prepared as a digital parallel corpus. We would like to develop methods of exploring patterns in variation between different translations. In this paper, we develope an interactive focus+context visualization system to present, analyze and explore variation at the level of user-defined segments. From our visualization, we are able to obtain an overview of the relationships of similarity between parallel segments in different versions. We can uncover clusters and outliers at various scales, and a linked focus view allows us to further explore the textual details behind these findings. The domain experts who are studying this topic evaluate our visualizations and we report their feedback. Our system helps them better understand the relationships between different German re-translations of Othello and derive some insight.</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/69940105" 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="6e0ff3eb38f1343f4a799c2f2fa310ee" rel="nofollow" data-download="{"attachment_id":79846592,"asset_id":69940105,"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/79846592/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="66657206" href="https://independent.academia.edu/CheesmanTom">Tom Cheesman</a><script data-card-contents-for-user="66657206" type="text/json">{"id":66657206,"first_name":"Tom","last_name":"Cheesman","domain_name":"independent","page_name":"CheesmanTom","display_name":"Tom Cheesman","profile_url":"https://independent.academia.edu/CheesmanTom?f_ri=3424","photo":"https://0.academia-photos.com/66657206/17519415/17589150/s65_tom.cheesman.jpg"}</script></span></span></li><li class="js-paper-rank-work_69940105 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="69940105"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 69940105, container: ".js-paper-rank-work_69940105", }); });</script></li><li class="js-percentile-work_69940105 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 = 69940105; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_69940105"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_69940105 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="69940105"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 69940105; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=69940105]").text(description); $(".js-view-count-work_69940105").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_69940105").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="69940105"><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="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="56581" rel="nofollow" href="https://www.academia.edu/Documents/in/Othello">Othello</a>, <script data-card-contents-for-ri="56581" type="text/json">{"id":56581,"name":"Othello","url":"https://www.academia.edu/Documents/in/Othello?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1825551" rel="nofollow" href="https://www.academia.edu/Documents/in/Text_Visualization">Text Visualization</a>, <script data-card-contents-for-ri="1825551" type="text/json">{"id":1825551,"name":"Text Visualization","url":"https://www.academia.edu/Documents/in/Text_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2070034" rel="nofollow" href="https://www.academia.edu/Documents/in/Data_Format">Data Format</a><script data-card-contents-for-ri="2070034" type="text/json">{"id":2070034,"name":"Data Format","url":"https://www.academia.edu/Documents/in/Data_Format?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=69940105]'), work: {"id":69940105,"title":"ShakerVis: Visual analysis of segment variation of German translations of Shakespeare’s Othello","created_at":"2022-01-29T09:59:42.371-08:00","url":"https://www.academia.edu/69940105/ShakerVis_Visual_analysis_of_segment_variation_of_German_translations_of_Shakespeare_s_Othello?f_ri=3424","dom_id":"work_69940105","summary":"is one of the world's greatest writers. His plays have been translated into every major living language. In some languages, his plays have been re-translated many times. These translations and re-translations have evolved for about 250 years. Studying variations in translations of world cultural heritage texts is of cross-cultural interest for arts and humanities researchers. The variations between re-translations are due to numerous factors including the differing purposes of translations, genetic relations, cultural and intercultural influences, rivalry between translators, and their varying competence. A team of Digital Humanities researchers has collected an experimental corpus of fifty-five different German re-translations of Shakespeare's play, Othello. The re-translations date from between 1766 and 2010. A sub-corpus of 32 re-translations has been prepared as a digital parallel corpus. We would like to develop methods of exploring patterns in variation between different translations. In this paper, we develope an interactive focus+context visualization system to present, analyze and explore variation at the level of user-defined segments. From our visualization, we are able to obtain an overview of the relationships of similarity between parallel segments in different versions. We can uncover clusters and outliers at various scales, and a linked focus view allows us to further explore the textual details behind these findings. The domain experts who are studying this topic evaluate our visualizations and we report their feedback. Our system helps them better understand the relationships between different German re-translations of Othello and derive some insight.","downloadable_attachments":[{"id":79846592,"asset_id":69940105,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":66657206,"first_name":"Tom","last_name":"Cheesman","domain_name":"independent","page_name":"CheesmanTom","display_name":"Tom Cheesman","profile_url":"https://independent.academia.edu/CheesmanTom?f_ri=3424","photo":"https://0.academia-photos.com/66657206/17519415/17589150/s65_tom.cheesman.jpg"}],"research_interests":[{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":56581,"name":"Othello","url":"https://www.academia.edu/Documents/in/Othello?f_ri=3424","nofollow":true},{"id":1825551,"name":"Text Visualization","url":"https://www.academia.edu/Documents/in/Text_Visualization?f_ri=3424","nofollow":true},{"id":2070034,"name":"Data Format","url":"https://www.academia.edu/Documents/in/Data_Format?f_ri=3424","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_44839092" data-work_id="44839092" 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/44839092/Periodismo_y_Dise%C3%B1o_dise%C3%B1ar_es_informar">Periodismo y Diseño: diseñar es informar</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Tradicionalmente, el Diseño ha sido una disciplina directamente relacionada con el aspecto meramente estético. Tan sólo alguna de sus especialidades, como el Diseño Gráfico, se ha asociado a la Comunicación Visual, y en el terreno... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_44839092" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Tradicionalmente, el Diseño ha sido una disciplina directamente relacionada con el aspecto meramente estético. Tan sólo alguna de sus especialidades, como el Diseño Gráfico, se ha asociado a la Comunicación Visual, y en el terreno periodístico se ha tratado como un complemento de la información y un procedimiento secundario en la elaboración de noticias, reportajes y otros contenidos. Esta disociación entre Diseño e Información no tiene sentido y consideramos que limita el poder comunicativo de ambas materias. Son igual de importantes el «qué» y el «cómo» en la elaboración de los mensajes de carácter informativo. Del mismo modo, son tan importantes los redactores como los diseñadores (frecuentemente conocidos en los medios impresos como maquetadores). En definitiva, forma y contenido están en el mismo nivel y deben ser complementarios. El objetivo principal de este capítulo es destacar la intensa relación existente entre Periodismo y Diseño y proporcionar a los estudiantes más herramientas que potencien su capacidad narrativa e informativa. Conocer estos puntos que los unen hace que los estudiantes de Periodismo pierdan la reticencia inicial a adentrarse en el Diseño porque consideran erróneamente que para diseñar hace falta dibujar.</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/44839092" 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="9a7b980384c5df4a76286674f7118e54" rel="nofollow" data-download="{"attachment_id":65344796,"asset_id":44839092,"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/65344796/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="2825363" href="https://ucm.academia.edu/RobertoGamonalArroyo">Roberto Gamonal Arroyo</a><script data-card-contents-for-user="2825363" type="text/json">{"id":2825363,"first_name":"Roberto","last_name":"Gamonal Arroyo","domain_name":"ucm","page_name":"RobertoGamonalArroyo","display_name":"Roberto Gamonal Arroyo","profile_url":"https://ucm.academia.edu/RobertoGamonalArroyo?f_ri=3424","photo":"https://0.academia-photos.com/2825363/924994/1158053/s65_roberto.gamonal_arroyo.jpg"}</script></span></span></li><li class="js-paper-rank-work_44839092 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="44839092"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 44839092, container: ".js-paper-rank-work_44839092", }); });</script></li><li class="js-percentile-work_44839092 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 = 44839092; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_44839092"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_44839092 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="44839092"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 44839092; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=44839092]").text(description); $(".js-view-count-work_44839092").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_44839092").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="44839092"><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="988" rel="nofollow" href="https://www.academia.edu/Documents/in/Design">Design</a>, <script data-card-contents-for-ri="988" type="text/json">{"id":988,"name":"Design","url":"https://www.academia.edu/Documents/in/Design?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="994" rel="nofollow" href="https://www.academia.edu/Documents/in/Journalism">Journalism</a>, <script data-card-contents-for-ri="994" type="text/json">{"id":994,"name":"Journalism","url":"https://www.academia.edu/Documents/in/Journalism?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4399" rel="nofollow" href="https://www.academia.edu/Documents/in/Visual_Semiotics">Visual Semiotics</a><script data-card-contents-for-ri="4399" type="text/json">{"id":4399,"name":"Visual Semiotics","url":"https://www.academia.edu/Documents/in/Visual_Semiotics?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=44839092]'), work: {"id":44839092,"title":"Periodismo y Diseño: diseñar es informar","created_at":"2021-01-05T04:34:12.273-08:00","url":"https://www.academia.edu/44839092/Periodismo_y_Dise%C3%B1o_dise%C3%B1ar_es_informar?f_ri=3424","dom_id":"work_44839092","summary":"Tradicionalmente, el Diseño ha sido una disciplina directamente relacionada con el aspecto meramente estético. Tan sólo alguna de sus especialidades, como el Diseño Gráfico, se ha asociado a la Comunicación Visual, y en el terreno periodístico se ha tratado como un complemento de la información y un procedimiento secundario en la elaboración de noticias, reportajes y otros contenidos. Esta disociación entre Diseño e Información no tiene sentido y consideramos que limita el poder comunicativo de ambas materias. Son igual de importantes el «qué» y el «cómo» en la elaboración de los mensajes de carácter informativo. Del mismo modo, son tan importantes los redactores como los diseñadores (frecuentemente conocidos en los medios impresos como maquetadores). En definitiva, forma y contenido están en el mismo nivel y deben ser complementarios. El objetivo principal de este capítulo es destacar la intensa relación existente entre Periodismo y Diseño y proporcionar a los estudiantes más herramientas que potencien su capacidad narrativa e informativa. Conocer estos puntos que los unen hace que los estudiantes de Periodismo pierdan la reticencia inicial a adentrarse en el Diseño porque consideran erróneamente que para diseñar hace falta dibujar. ","downloadable_attachments":[{"id":65344796,"asset_id":44839092,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2825363,"first_name":"Roberto","last_name":"Gamonal Arroyo","domain_name":"ucm","page_name":"RobertoGamonalArroyo","display_name":"Roberto Gamonal Arroyo","profile_url":"https://ucm.academia.edu/RobertoGamonalArroyo?f_ri=3424","photo":"https://0.academia-photos.com/2825363/924994/1158053/s65_roberto.gamonal_arroyo.jpg"}],"research_interests":[{"id":988,"name":"Design","url":"https://www.academia.edu/Documents/in/Design?f_ri=3424","nofollow":true},{"id":994,"name":"Journalism","url":"https://www.academia.edu/Documents/in/Journalism?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":4399,"name":"Visual Semiotics","url":"https://www.academia.edu/Documents/in/Visual_Semiotics?f_ri=3424","nofollow":true},{"id":4871,"name":"Digital Journalism","url":"https://www.academia.edu/Documents/in/Digital_Journalism?f_ri=3424"},{"id":20482,"name":"Information Design","url":"https://www.academia.edu/Documents/in/Information_Design?f_ri=3424"},{"id":28673,"name":"Design Writing: Journalism and Criticism","url":"https://www.academia.edu/Documents/in/Design_Writing_Journalism_and_Criticism?f_ri=3424"},{"id":47980,"name":"Data Visualization","url":"https://www.academia.edu/Documents/in/Data_Visualization?f_ri=3424"},{"id":54340,"name":"Journalism Studies","url":"https://www.academia.edu/Documents/in/Journalism_Studies?f_ri=3424"},{"id":58170,"name":"Periodismo","url":"https://www.academia.edu/Documents/in/Periodismo?f_ri=3424"},{"id":75932,"name":"Diseño Grafico","url":"https://www.academia.edu/Documents/in/Dise%C3%B1o_Grafico?f_ri=3424"},{"id":90638,"name":"Diseño","url":"https://www.academia.edu/Documents/in/Dise%C3%B1o?f_ri=3424"},{"id":93455,"name":"Infographics and data visualization","url":"https://www.academia.edu/Documents/in/Infographics_and_data_visualization?f_ri=3424"},{"id":113635,"name":"Visual Journalism","url":"https://www.academia.edu/Documents/in/Visual_Journalism?f_ri=3424"},{"id":228466,"name":"Visual Rethoric","url":"https://www.academia.edu/Documents/in/Visual_Rethoric?f_ri=3424"},{"id":246827,"name":"Diseño Gráfico","url":"https://www.academia.edu/Documents/in/Dise%C3%B1o_Gr%C3%A1fico?f_ri=3424"},{"id":307628,"name":"Diseño de Información","url":"https://www.academia.edu/Documents/in/Dise%C3%B1o_de_Informaci%C3%B3n?f_ri=3424"},{"id":527721,"name":"Diseño Periodístico","url":"https://www.academia.edu/Documents/in/Diseno_Periodistico?f_ri=3424"},{"id":1508705,"name":"Visualizacion de Datos","url":"https://www.academia.edu/Documents/in/Visualizacion_de_Datos-1?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_2056178 coauthored" data-work_id="2056178" 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/2056178/Information_visualization_and_the_arts_science_social_science_interface">Information visualization and the arts-science-social science interface</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 a world of ever-increasing and newly discovered complexities, and rapidly expanding data sets describing man-made and natural phenomena, information visualization offers a means of structuring and enabling interpretation of these data... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_2056178" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In a world of ever-increasing and newly discovered complexities, and rapidly expanding data sets describing man-made and natural phenomena, information visualization offers a means of structuring and enabling interpretation of these data in the context of that complexity. Advances in graphics hardware, art asset pipelines and parallelized computational platforms offer unprecedented potential. However, harnessing this potential to good effect is challenging and requires the integration of skills from the arts and social sciences to support scientific endeavor in the physical and life sciences. Here, we consider those skills and describe four case studies that highlight interoperation among disciplines at this arts-science-social science interface.</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/2056178" 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="ea933e2fc764c49aa0861b717ac14f90" rel="nofollow" data-download="{"attachment_id":29666538,"asset_id":2056178,"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/29666538/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="13622217" href="https://bezalel.academia.edu/MarkShovman">Mark Shovman</a><script data-card-contents-for-user="13622217" type="text/json">{"id":13622217,"first_name":"Mark","last_name":"Shovman","domain_name":"bezalel","page_name":"MarkShovman","display_name":"Mark Shovman","profile_url":"https://bezalel.academia.edu/MarkShovman?f_ri=3424","photo":"https://0.academia-photos.com/13622217/3798699/4446235/s65_mark.shovman.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-2056178">+3</span><div class="hidden js-additional-users-2056178"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://abertay.academia.edu/AlexeyGoltsov">Alexey Goltsov</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://abertay.academia.edu/RuthFalconer">Ruth Falconer</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/BownJames">James Bown</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-2056178'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-2056178').html(); 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container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_2056178 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="2056178"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 2056178; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=2056178]").text(description); $(".js-view-count-work_2056178").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_2056178").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="2056178"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="6078" rel="nofollow" href="https://www.academia.edu/Documents/in/Visual_Analytics">Visual Analytics</a>, <script data-card-contents-for-ri="6078" type="text/json">{"id":6078,"name":"Visual Analytics","url":"https://www.academia.edu/Documents/in/Visual_Analytics?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="7150" rel="nofollow" href="https://www.academia.edu/Documents/in/Complex_Systems">Complex Systems</a>, <script data-card-contents-for-ri="7150" type="text/json">{"id":7150,"name":"Complex Systems","url":"https://www.academia.edu/Documents/in/Complex_Systems?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="8014" rel="nofollow" href="https://www.academia.edu/Documents/in/Life_Sciences">Life Sciences</a><script data-card-contents-for-ri="8014" type="text/json">{"id":8014,"name":"Life Sciences","url":"https://www.academia.edu/Documents/in/Life_Sciences?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=2056178]'), work: {"id":2056178,"title":"Information visualization and the arts-science-social science interface","created_at":"2012-10-24T22:52:46.639-07:00","url":"https://www.academia.edu/2056178/Information_visualization_and_the_arts_science_social_science_interface?f_ri=3424","dom_id":"work_2056178","summary":"In a world of ever-increasing and newly discovered complexities, and rapidly expanding data sets describing man-made and natural phenomena, information visualization offers a means of structuring and enabling interpretation of these data in the context of that complexity. 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Computer","url":"https://www.academia.edu/Documents/in/Parallel_Computer?f_ri=3424"},{"id":1197942,"name":"Social Science","url":"https://www.academia.edu/Documents/in/Social_Science?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_2773345" data-work_id="2773345" 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/2773345/Information_visualization_using_3D_interactive_animation">Information visualization using 3D interactive animation</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/2773345" 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="7d0e5b9b05d8fd0323b96a110c9c1fe5" rel="nofollow" data-download="{"attachment_id":50547233,"asset_id":2773345,"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/50547233/download_file?st=MTc0MDU0MDI2Nyw4LjIyMi4yMDguMTQ2&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="3401904" href="https://farzansojoodi.academia.edu/saeedsbm">saeed sbm</a><script data-card-contents-for-user="3401904" type="text/json">{"id":3401904,"first_name":"saeed","last_name":"sbm","domain_name":"farzansojoodi","page_name":"saeedsbm","display_name":"saeed sbm","profile_url":"https://farzansojoodi.academia.edu/saeedsbm?f_ri=3424","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_2773345 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="2773345"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 2773345, container: ".js-paper-rank-work_2773345", }); });</script></li><li class="js-percentile-work_2773345 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 = 2773345; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_2773345"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_2773345 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="2773345"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 2773345; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=2773345]").text(description); $(".js-view-count-work_2773345").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_2773345").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="2773345"><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="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a><script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=2773345]'), work: {"id":2773345,"title":"Information visualization using 3D interactive animation","created_at":"2013-03-01T23:40:31.928-08:00","url":"https://www.academia.edu/2773345/Information_visualization_using_3D_interactive_animation?f_ri=3424","dom_id":"work_2773345","summary":null,"downloadable_attachments":[{"id":50547233,"asset_id":2773345,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":3401904,"first_name":"saeed","last_name":"sbm","domain_name":"farzansojoodi","page_name":"saeedsbm","display_name":"saeed sbm","profile_url":"https://farzansojoodi.academia.edu/saeedsbm?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","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_14679596" data-work_id="14679596" 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/14679596/VISUALIZATION_TECHNIQUES_FOR_INTRUSION_DETECTION_A_SURVEY">VISUALIZATION TECHNIQUES FOR INTRUSION DETECTION – A SURVEY</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 traditional intrusion detection system (IDS) environments, little activity has been applied to using visual analysis as an aid to intrusion detection. With more information systems being attacked and attack techniques evolving, the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_14679596" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In traditional intrusion detection system (IDS) environments, little activity has been applied to using visual analysis as an aid to intrusion detection. With more information systems being attacked and attack techniques evolving, the task of detecting intrusions is becoming an increasingly difficult. Efficient<br />information visualization is an important element required for urgent detection of intruders. This paper presents a survey on using visualization techniques in intrusion detection system.<br />Finally authors proposed a framework for visualization system for ID.</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/14679596" 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="954585ae784164b7026546439c13cef6" rel="nofollow" data-download="{"attachment_id":38386892,"asset_id":14679596,"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/38386892/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="26099471" rel="nofollow" href="https://independent.academia.edu/JournalIJCSES">International Journal of Computer Science and Engineering Survey (IJCSES)</a><script data-card-contents-for-user="26099471" type="text/json">{"id":26099471,"first_name":"International Journal of Computer Science and Engineering Survey","last_name":"(IJCSES)","domain_name":"independent","page_name":"JournalIJCSES","display_name":"International Journal of Computer Science and Engineering Survey (IJCSES)","profile_url":"https://independent.academia.edu/JournalIJCSES?f_ri=3424","photo":"https://0.academia-photos.com/26099471/8320289/35522477/s65_international_journal_of_computer_science_and_engineering_survey._ijcses_.png"}</script></span></span></li><li class="js-paper-rank-work_14679596 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="14679596"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 14679596, container: ".js-paper-rank-work_14679596", }); 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$(".js-view-count[data-work-id=14679596]").text(description); $(".js-view-count-work_14679596").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_14679596").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="14679596"><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="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="15171" rel="nofollow" href="https://www.academia.edu/Documents/in/Intrusion_Detection_Systems">Intrusion Detection Systems</a>, <script data-card-contents-for-ri="15171" type="text/json">{"id":15171,"name":"Intrusion Detection Systems","url":"https://www.academia.edu/Documents/in/Intrusion_Detection_Systems?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="69540" rel="nofollow" href="https://www.academia.edu/Documents/in/Intrusion_Detection">Intrusion Detection</a>, <script data-card-contents-for-ri="69540" type="text/json">{"id":69540,"name":"Intrusion Detection","url":"https://www.academia.edu/Documents/in/Intrusion_Detection?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="74537" rel="nofollow" href="https://www.academia.edu/Documents/in/new_techniques_in_3D_visualization_in_GIS_3D_visualization_techniques_in_planetory_science_etc">new techniques in 3D visualization in GIS, 3D visualization techniques in planetory science,etc.</a><script data-card-contents-for-ri="74537" type="text/json">{"id":74537,"name":"new techniques in 3D visualization in GIS, 3D visualization techniques in planetory science,etc.","url":"https://www.academia.edu/Documents/in/new_techniques_in_3D_visualization_in_GIS_3D_visualization_techniques_in_planetory_science_etc?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=14679596]'), work: {"id":14679596,"title":"VISUALIZATION TECHNIQUES FOR INTRUSION DETECTION – A SURVEY","created_at":"2015-08-05T00:25:54.649-07:00","url":"https://www.academia.edu/14679596/VISUALIZATION_TECHNIQUES_FOR_INTRUSION_DETECTION_A_SURVEY?f_ri=3424","dom_id":"work_14679596","summary":"In traditional intrusion detection system (IDS) environments, little activity has been applied to using visual analysis as an aid to intrusion detection. With more information systems being attacked and attack techniques evolving, the task of detecting intrusions is becoming an increasingly difficult. Efficient\ninformation visualization is an important element required for urgent detection of intruders. This paper presents a survey on using visualization techniques in intrusion detection system.\nFinally authors proposed a framework for visualization system for ID. ","downloadable_attachments":[{"id":38386892,"asset_id":14679596,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":26099471,"first_name":"International Journal of Computer Science and Engineering Survey","last_name":"(IJCSES)","domain_name":"independent","page_name":"JournalIJCSES","display_name":"International Journal of Computer Science and Engineering Survey (IJCSES)","profile_url":"https://independent.academia.edu/JournalIJCSES?f_ri=3424","photo":"https://0.academia-photos.com/26099471/8320289/35522477/s65_international_journal_of_computer_science_and_engineering_survey._ijcses_.png"}],"research_interests":[{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":15171,"name":"Intrusion Detection Systems","url":"https://www.academia.edu/Documents/in/Intrusion_Detection_Systems?f_ri=3424","nofollow":true},{"id":69540,"name":"Intrusion Detection","url":"https://www.academia.edu/Documents/in/Intrusion_Detection?f_ri=3424","nofollow":true},{"id":74537,"name":"new techniques in 3D visualization in GIS, 3D visualization techniques in planetory science,etc.","url":"https://www.academia.edu/Documents/in/new_techniques_in_3D_visualization_in_GIS_3D_visualization_techniques_in_planetory_science_etc?f_ri=3424","nofollow":true},{"id":119822,"name":"Intrusion Detection Systems (IDSs)","url":"https://www.academia.edu/Documents/in/Intrusion_Detection_Systems_IDSs_?f_ri=3424"},{"id":247096,"name":"Engineering and Computer Science","url":"https://www.academia.edu/Documents/in/Engineering_and_Computer_Science?f_ri=3424"},{"id":320736,"name":"Intrusion Detection System","url":"https://www.academia.edu/Documents/in/Intrusion_Detection_System?f_ri=3424"},{"id":328538,"name":"Computer Science And Engineering","url":"https://www.academia.edu/Documents/in/Computer_Science_And_Engineering?f_ri=3424"},{"id":457721,"name":"Computer Science Engineering","url":"https://www.academia.edu/Documents/in/Computer_Science_Engineering?f_ri=3424"},{"id":470389,"name":"COMPUTER SCIENCE \u0026 ENGINEERING","url":"https://www.academia.edu/Documents/in/COMPUTER_SCIENCE_and_ENGINEERING-3?f_ri=3424"},{"id":954913,"name":"Information Visualizations","url":"https://www.academia.edu/Documents/in/Information_Visualizations?f_ri=3424"},{"id":1212477,"name":"Flow Visualization Techniques","url":"https://www.academia.edu/Documents/in/Flow_Visualization_Techniques?f_ri=3424"},{"id":1226904,"name":"Computer Science and Engineering","url":"https://www.academia.edu/Documents/in/Computer_Science_and_Engineering-1?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_7157520 coauthored" data-work_id="7157520" 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/7157520/Constructive_Visualization">Constructive Visualization</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">If visualization is to be democratized, we need to provide means for non-experts to create visualizations that allow them to engage directly with datasets. We present constructive visualization a new paradigm for the simple creation of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_7157520" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">If visualization is to be democratized, we need to provide means for non-experts to create visualizations that allow them to engage directly with datasets. We present constructive visualization a new paradigm for the simple creation of flexible, dynamic visualizations. Constructive visualization is simple—in that the skills required to build and manipulate the visualizations are akin to kindergarten play; it is expressive— in that one can build within the constraints of the chosen environment, and it also supports dynamics — in that these constructed visualizations can be rebuilt and adjusted. We describe the conceptual components and processes underlying constructive visualization, and present real-world examples to illustrate the utility of this approach. The constructive visualization approach builds on our inherent understanding and experience with physical building blocks, offering a model that enables non-experts to create entirely novel visualizations, and to engage with datasets in a manner that would not have otherwise been possible.</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/7157520" 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="88c77363828c77b50730990e24d4a26c" rel="nofollow" data-download="{"attachment_id":33790368,"asset_id":7157520,"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/33790368/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="119934" href="https://telecom-paristech.academia.edu/SamuelHuron">Samuel Huron</a><script data-card-contents-for-user="119934" type="text/json">{"id":119934,"first_name":"Samuel","last_name":"Huron","domain_name":"telecom-paristech","page_name":"SamuelHuron","display_name":"Samuel Huron","profile_url":"https://telecom-paristech.academia.edu/SamuelHuron?f_ri=3424","photo":"https://0.academia-photos.com/119934/32192/7688000/s65_samuel.huron.jpeg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-7157520">+1</span><div class="hidden js-additional-users-7157520"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://ucalgary.academia.edu/SheelaghCarpendale">Sheelagh Carpendale</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-7157520'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-7157520').html(); 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container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_7157520 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="7157520"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 7157520; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=7157520]").text(description); $(".js-view-count-work_7157520").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_7157520").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="7157520"><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="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=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="988" rel="nofollow" href="https://www.academia.edu/Documents/in/Design">Design</a>, <script data-card-contents-for-ri="988" type="text/json">{"id":988,"name":"Design","url":"https://www.academia.edu/Documents/in/Design?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1440" rel="nofollow" href="https://www.academia.edu/Documents/in/Visualization">Visualization</a>, <script data-card-contents-for-ri="1440" type="text/json">{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3248" rel="nofollow" href="https://www.academia.edu/Documents/in/Constructivism">Constructivism</a><script data-card-contents-for-ri="3248" type="text/json">{"id":3248,"name":"Constructivism","url":"https://www.academia.edu/Documents/in/Constructivism?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=7157520]'), work: {"id":7157520,"title":"Constructive Visualization","created_at":"2014-05-25T19:56:47.071-07:00","url":"https://www.academia.edu/7157520/Constructive_Visualization?f_ri=3424","dom_id":"work_7157520","summary":"If visualization is to be democratized, we need to provide means for non-experts to create visualizations that allow them to engage directly with datasets. We present constructive visualization a new paradigm for the simple creation of flexible, dynamic visualizations. Constructive visualization is simple—in that the skills required to build and manipulate the visualizations are akin to kindergarten play; it is expressive— in that one can build within the constraints of the chosen environment, and it also supports dynamics — in that these constructed visualizations can be rebuilt and adjusted. We describe the conceptual components and processes underlying constructive visualization, and present real-world examples to illustrate the utility of this approach. The constructive visualization approach builds on our inherent understanding and experience with physical building blocks, offering a model that enables non-experts to create entirely novel visualizations, and to engage with datasets in a manner that would not have otherwise been possible.","downloadable_attachments":[{"id":33790368,"asset_id":7157520,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":119934,"first_name":"Samuel","last_name":"Huron","domain_name":"telecom-paristech","page_name":"SamuelHuron","display_name":"Samuel Huron","profile_url":"https://telecom-paristech.academia.edu/SamuelHuron?f_ri=3424","photo":"https://0.academia-photos.com/119934/32192/7688000/s65_samuel.huron.jpeg"},{"id":33689361,"first_name":"Sheelagh","last_name":"Carpendale","domain_name":"ucalgary","page_name":"SheelaghCarpendale","display_name":"Sheelagh Carpendale","profile_url":"https://ucalgary.academia.edu/SheelaghCarpendale?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":922,"name":"Education","url":"https://www.academia.edu/Documents/in/Education?f_ri=3424","nofollow":true},{"id":988,"name":"Design","url":"https://www.academia.edu/Documents/in/Design?f_ri=3424","nofollow":true},{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=3424","nofollow":true},{"id":3248,"name":"Constructivism","url":"https://www.academia.edu/Documents/in/Constructivism?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424"},{"id":3962,"name":"Visual Literacy","url":"https://www.academia.edu/Documents/in/Visual_Literacy?f_ri=3424"},{"id":5079,"name":"Graphic Design","url":"https://www.academia.edu/Documents/in/Graphic_Design?f_ri=3424"},{"id":7821,"name":"Constructionism","url":"https://www.academia.edu/Documents/in/Constructionism?f_ri=3424"},{"id":9629,"name":"Construction","url":"https://www.academia.edu/Documents/in/Construction?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5496636" data-work_id="5496636" 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/5496636/TRANSPLUS_Report_D4">TRANSPLUS Report D4</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 document constitutes Deliverable report D4 – “Barriers, Solutions and Transferability” - of the EU project TRANSPLUS (Transport Planning, Land Use and Sustainability). This reports on the relationships between different transport... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5496636" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This document constitutes Deliverable report D4 – “Barriers, Solutions and Transferability” - of the EU project TRANSPLUS (Transport Planning, Land Use and Sustainability). <br /> <br />This reports on the relationships between different transport and <br />land use planning policies, their implementation and barriers to success, their transferability in terms of institutional contexts and transfer of policies, drawing from several European case studies. <br /> <br />The report demonstrates that study of the basic relationships between actors, instruments and territories can help to understand various mechanisms or conditions by which barriers may arise, which may hinder successful implementation and transfer of measures. The framework of relationships between institutions, instruments and territories can be used to help define different kinds of barrier in such a way that generalisations across cases become possible."</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/5496636" 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="f5d9257381b0df7f0f2aaa89eed10832" rel="nofollow" data-download="{"attachment_id":32603963,"asset_id":5496636,"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/32603963/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="176191" href="https://ucl.academia.edu/SMarshall">Stephen Marshall</a><script data-card-contents-for-user="176191" type="text/json">{"id":176191,"first_name":"Stephen","last_name":"Marshall","domain_name":"ucl","page_name":"SMarshall","display_name":"Stephen Marshall","profile_url":"https://ucl.academia.edu/SMarshall?f_ri=3424","photo":"https://0.academia-photos.com/176191/861250/1074360/s65_stephen.marshall.jpg"}</script></span></span></li><li class="js-paper-rank-work_5496636 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5496636"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5496636, container: ".js-paper-rank-work_5496636", }); });</script></li><li class="js-percentile-work_5496636 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 = 5496636; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_5496636"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_5496636 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="5496636"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5496636; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5496636]").text(description); $(".js-view-count-work_5496636").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5496636").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="5496636"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="1603" rel="nofollow" href="https://www.academia.edu/Documents/in/Sustainable_Transportation">Sustainable Transportation</a>, <script data-card-contents-for-ri="1603" type="text/json">{"id":1603,"name":"Sustainable Transportation","url":"https://www.academia.edu/Documents/in/Sustainable_Transportation?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4524" rel="nofollow" href="https://www.academia.edu/Documents/in/Sustainable_Development">Sustainable Development</a>, <script data-card-contents-for-ri="4524" type="text/json">{"id":4524,"name":"Sustainable Development","url":"https://www.academia.edu/Documents/in/Sustainable_Development?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4808" rel="nofollow" href="https://www.academia.edu/Documents/in/Urban_Planning">Urban Planning</a><script data-card-contents-for-ri="4808" type="text/json">{"id":4808,"name":"Urban Planning","url":"https://www.academia.edu/Documents/in/Urban_Planning?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5496636]'), work: {"id":5496636,"title":"TRANSPLUS Report D4","created_at":"2013-12-21T09:11:21.706-08:00","url":"https://www.academia.edu/5496636/TRANSPLUS_Report_D4?f_ri=3424","dom_id":"work_5496636","summary":"This document constitutes Deliverable report D4 – “Barriers, Solutions and Transferability” - of the EU project TRANSPLUS (Transport Planning, Land Use and Sustainability). \r\n\r\nThis reports on the relationships between different transport and\r\nland use planning policies, their implementation and barriers to success, their transferability in terms of institutional contexts and transfer of policies, drawing from several European case studies.\r\n\r\nThe report demonstrates that study of the basic relationships between actors, instruments and territories can help to understand various mechanisms or conditions by which barriers may arise, which may hinder successful implementation and transfer of measures. 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This paper presents a visualisation platform (BrandMap). It was used to structure data of brand association... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_3552022" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Word-of-mouth in the Internet is rapidly increasing, but the dissemination of this information is sometime difficult to interpret. This paper presents a visualisation platform (BrandMap). It was used to structure data of brand association distribution in the blogosphere as a case study that analyses the word-of-mouth of two smartphone brands in Brazil. BrandMap is a prototype that was developed based on extensive research about word-of-mouth in the blogosphere and how to visualize brands monitoring. BrandMap uses a novel approach for information visualization of complex data. The result was the evaluation of BrandMap analyses that compared the user's perception about the advantages and disadvantages of two brands in social networks.</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/3552022" 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="fe24c18cf82a5cff17ee2271187726f9" rel="nofollow" data-download="{"attachment_id":31268411,"asset_id":3552022,"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/31268411/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="264444" href="https://ufpe.academia.edu/AlexGomes">Alex S Gomes</a><script data-card-contents-for-user="264444" type="text/json">{"id":264444,"first_name":"Alex","last_name":"Gomes","domain_name":"ufpe","page_name":"AlexGomes","display_name":"Alex S Gomes","profile_url":"https://ufpe.academia.edu/AlexGomes?f_ri=3424","photo":"https://0.academia-photos.com/264444/55458/134020178/s65_alex.gomes.png"}</script></span></span></li><li class="js-paper-rank-work_3552022 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="3552022"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 3552022, container: ".js-paper-rank-work_3552022", }); });</script></li><li class="js-percentile-work_3552022 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 = 3552022; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_3552022"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_3552022 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="3552022"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 3552022; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=3552022]").text(description); $(".js-view-count-work_3552022").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_3552022").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="3552022"><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="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a><script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=3552022]'), work: {"id":3552022,"title":"Brandmap: an Information Visualization Platform for Brand Association in Blogosphere ","created_at":"2013-05-17T02:19:47.444-07:00","url":"https://www.academia.edu/3552022/Brandmap_an_Information_Visualization_Platform_for_Brand_Association_in_Blogosphere?f_ri=3424","dom_id":"work_3552022","summary":"Word-of-mouth in the Internet is rapidly increasing, but the dissemination of this information is sometime difficult to interpret. This paper presents a visualisation platform (BrandMap). It was used to structure data of brand association distribution in the blogosphere as a case study that analyses the word-of-mouth of two smartphone brands in Brazil. BrandMap is a prototype that was developed based on extensive research about word-of-mouth in the blogosphere and how to visualize brands monitoring. BrandMap uses a novel approach for information visualization of complex data. The result was the evaluation of BrandMap analyses that compared the user's perception about the advantages and disadvantages of two brands in social networks.","downloadable_attachments":[{"id":31268411,"asset_id":3552022,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":264444,"first_name":"Alex","last_name":"Gomes","domain_name":"ufpe","page_name":"AlexGomes","display_name":"Alex S Gomes","profile_url":"https://ufpe.academia.edu/AlexGomes?f_ri=3424","photo":"https://0.academia-photos.com/264444/55458/134020178/s65_alex.gomes.png"}],"research_interests":[{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","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_365968" data-work_id="365968" 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/365968/Game_Metrics_and_Biometrics_The_Future_of_Player_Experience_Research">Game Metrics and Biometrics: The Future of Player Experience Research</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">There is a call in industry and research for objective evaluation of player experience in games. With recent technological advancements, it is possible to automatically log numerical information on in-game player behavior and put this... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_365968" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">There is a call in industry and research for objective evaluation of player experience in games. With recent technological advancements, it is possible to automatically log numerical information on in-game player behavior and put this into temporal, spatial, and psychophysiological context. The latter is done using biometric evaluation techniques, like electromyography (EMG), electroencephalography (EEG), and eye tracking. Therefore, it is necessary to discuss experimental results in academia and best practices in industry. This panel brings together experts from both worlds sharing their knowledge using conventional and experimental, qualitative and quantitative methods of player experience in games.</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/365968" 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="ed7b2c357024ff351095991cacb373d6" rel="nofollow" data-download="{"attachment_id":3251747,"asset_id":365968,"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/3251747/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="279205" href="https://uwaterloo.academia.edu/LennartNacke">Lennart E Nacke</a><script data-card-contents-for-user="279205" type="text/json">{"id":279205,"first_name":"Lennart","last_name":"Nacke","domain_name":"uwaterloo","page_name":"LennartNacke","display_name":"Lennart E Nacke","profile_url":"https://uwaterloo.academia.edu/LennartNacke?f_ri=3424","photo":"https://0.academia-photos.com/279205/57370/15983342/s65_lennart.nacke.jpg"}</script></span></span></li><li class="js-paper-rank-work_365968 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="365968"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 365968, container: ".js-paper-rank-work_365968", }); });</script></li><li class="js-percentile-work_365968 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 = 365968; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_365968"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_365968 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="365968"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 365968; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=365968]").text(description); $(".js-view-count-work_365968").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_365968").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="365968"><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="883" rel="nofollow" href="https://www.academia.edu/Documents/in/Game_studies">Game studies</a>, <script data-card-contents-for-ri="883" type="text/json">{"id":883,"name":"Game studies","url":"https://www.academia.edu/Documents/in/Game_studies?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2009" rel="nofollow" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a>, <script data-card-contents-for-ri="2009" type="text/json">{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=3424","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=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a><script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=365968]'), work: {"id":365968,"title":"Game Metrics and Biometrics: The Future of Player Experience Research","created_at":"2010-11-10T01:49:30.603-08:00","url":"https://www.academia.edu/365968/Game_Metrics_and_Biometrics_The_Future_of_Player_Experience_Research?f_ri=3424","dom_id":"work_365968","summary":"There is a call in industry and research for objective evaluation of player experience in games. With recent technological advancements, it is possible to automatically log numerical information on in-game player behavior and put this into temporal, spatial, and psychophysiological context. The latter is done using biometric evaluation techniques, like electromyography (EMG), electroencephalography (EEG), and eye tracking. Therefore, it is necessary to discuss experimental results in academia and best practices in industry. This panel brings together experts from both worlds sharing their knowledge using conventional and experimental, qualitative and quantitative methods of player experience in games.","downloadable_attachments":[{"id":3251747,"asset_id":365968,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":279205,"first_name":"Lennart","last_name":"Nacke","domain_name":"uwaterloo","page_name":"LennartNacke","display_name":"Lennart E Nacke","profile_url":"https://uwaterloo.academia.edu/LennartNacke?f_ri=3424","photo":"https://0.academia-photos.com/279205/57370/15983342/s65_lennart.nacke.jpg"}],"research_interests":[{"id":883,"name":"Game studies","url":"https://www.academia.edu/Documents/in/Game_studies?f_ri=3424","nofollow":true},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=3424","nofollow":true},{"id":2875,"name":"User Experience (UX)","url":"https://www.academia.edu/Documents/in/User_Experience_UX_?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":4417,"name":"Game Design","url":"https://www.academia.edu/Documents/in/Game_Design?f_ri=3424"},{"id":5006,"name":"Computer Games Technology","url":"https://www.academia.edu/Documents/in/Computer_Games_Technology?f_ri=3424"},{"id":5199,"name":"Video Games","url":"https://www.academia.edu/Documents/in/Video_Games?f_ri=3424"},{"id":9173,"name":"Biometrics","url":"https://www.academia.edu/Documents/in/Biometrics?f_ri=3424"},{"id":10048,"name":"Future Media","url":"https://www.academia.edu/Documents/in/Future_Media?f_ri=3424"},{"id":15076,"name":"Digital Games","url":"https://www.academia.edu/Documents/in/Digital_Games?f_ri=3424"},{"id":49363,"name":"Player Experience","url":"https://www.academia.edu/Documents/in/Player_Experience?f_ri=3424"},{"id":51329,"name":"Triangulation","url":"https://www.academia.edu/Documents/in/Triangulation?f_ri=3424"},{"id":51652,"name":"Gameplay Experience","url":"https://www.academia.edu/Documents/in/Gameplay_Experience?f_ri=3424"},{"id":51653,"name":"Game Metrics","url":"https://www.academia.edu/Documents/in/Game_Metrics?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_50424243" data-work_id="50424243" 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/50424243/Real_Time_Data_and_Analysis_of_the_Use_of_Office_Space">Real-Time Data and Analysis of the Use of Office Space</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Ambient Intelligent Systems have been proposed for their potential to track collaborative activities in the workplace, capture them, and in real time respond to them. The longer term goal is to develop embedded technologies that provide... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_50424243" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Ambient Intelligent Systems have been proposed for their potential to track collaborative activities in the workplace, capture them, and in real time respond to them. The longer term goal is to develop embedded technologies that provide intelligent feedback in predictable office environments but also address the unpredictable working environments of nomadic knowledge workers and of remote workers engaged in virtual collaboration with those physically present. Some of these systems are relatively close to market and others are less immediately applicable. This paper suggests that a heterogeneous mix of such systems is likely to be necessary for some time to come. A prototype real time location system for mapping the real-time location of workers in offices has been developed by Johnson Controls. During tests it has been found to positively assist in gathering information for better management of space and support of collaborative activity. This has proved to justify the costs.</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/50424243" 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="52b0c1c9d01fe57e164dfaad943e6d5e" rel="nofollow" data-download="{"attachment_id":68417969,"asset_id":50424243,"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/68417969/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="4392289" href="https://cardiffmet.academia.edu/Jcounsell">John counsell</a><script data-card-contents-for-user="4392289" type="text/json">{"id":4392289,"first_name":"John","last_name":"counsell","domain_name":"cardiffmet","page_name":"Jcounsell","display_name":"John counsell","profile_url":"https://cardiffmet.academia.edu/Jcounsell?f_ri=3424","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_50424243 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="50424243"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 50424243, container: ".js-paper-rank-work_50424243", }); });</script></li><li class="js-percentile-work_50424243 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 = 50424243; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_50424243"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_50424243 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="50424243"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50424243; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50424243]").text(description); $(".js-view-count-work_50424243").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_50424243").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="50424243"><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="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4205" rel="nofollow" href="https://www.academia.edu/Documents/in/Data_Analysis">Data Analysis</a>, <script data-card-contents-for-ri="4205" type="text/json">{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="17352" rel="nofollow" href="https://www.academia.edu/Documents/in/Space_Technology">Space Technology</a>, <script data-card-contents-for-ri="17352" type="text/json">{"id":17352,"name":"Space Technology","url":"https://www.academia.edu/Documents/in/Space_Technology?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="30596" rel="nofollow" href="https://www.academia.edu/Documents/in/Control_Systems">Control Systems</a><script data-card-contents-for-ri="30596" type="text/json">{"id":30596,"name":"Control Systems","url":"https://www.academia.edu/Documents/in/Control_Systems?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=50424243]'), work: {"id":50424243,"title":"Real-Time Data and Analysis of the Use of Office Space","created_at":"2021-07-31T00:21:31.944-07:00","url":"https://www.academia.edu/50424243/Real_Time_Data_and_Analysis_of_the_Use_of_Office_Space?f_ri=3424","dom_id":"work_50424243","summary":"Ambient Intelligent Systems have been proposed for their potential to track collaborative activities in the workplace, capture them, and in real time respond to them. The longer term goal is to develop embedded technologies that provide intelligent feedback in predictable office environments but also address the unpredictable working environments of nomadic knowledge workers and of remote workers engaged in virtual collaboration with those physically present. Some of these systems are relatively close to market and others are less immediately applicable. This paper suggests that a heterogeneous mix of such systems is likely to be necessary for some time to come. A prototype real time location system for mapping the real-time location of workers in offices has been developed by Johnson Controls. During tests it has been found to positively assist in gathering information for better management of space and support of collaborative activity. This has proved to justify the costs.","downloadable_attachments":[{"id":68417969,"asset_id":50424243,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":4392289,"first_name":"John","last_name":"counsell","domain_name":"cardiffmet","page_name":"Jcounsell","display_name":"John counsell","profile_url":"https://cardiffmet.academia.edu/Jcounsell?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":4205,"name":"Data Analysis","url":"https://www.academia.edu/Documents/in/Data_Analysis?f_ri=3424","nofollow":true},{"id":17352,"name":"Space Technology","url":"https://www.academia.edu/Documents/in/Space_Technology?f_ri=3424","nofollow":true},{"id":30596,"name":"Control Systems","url":"https://www.academia.edu/Documents/in/Control_Systems?f_ri=3424","nofollow":true},{"id":33125,"name":"Work Environment","url":"https://www.academia.edu/Documents/in/Work_Environment?f_ri=3424"},{"id":39433,"name":"Ambient Intelligence","url":"https://www.academia.edu/Documents/in/Ambient_Intelligence?f_ri=3424"},{"id":50642,"name":"Virtual Reality","url":"https://www.academia.edu/Documents/in/Virtual_Reality?f_ri=3424"},{"id":102883,"name":"Real Time Systems","url":"https://www.academia.edu/Documents/in/Real_Time_Systems?f_ri=3424"},{"id":137633,"name":"Feedback","url":"https://www.academia.edu/Documents/in/Feedback?f_ri=3424"},{"id":150652,"name":"Knowledge Based Systems","url":"https://www.academia.edu/Documents/in/Knowledge_Based_Systems?f_ri=3424"},{"id":229390,"name":"Real Time","url":"https://www.academia.edu/Documents/in/Real_Time?f_ri=3424"},{"id":340088,"name":"Prototypes","url":"https://www.academia.edu/Documents/in/Prototypes?f_ri=3424"},{"id":607960,"name":"Knowledge Worker","url":"https://www.academia.edu/Documents/in/Knowledge_Worker?f_ri=3424"},{"id":3468642,"name":"Real Time Data","url":"https://www.academia.edu/Documents/in/Real_Time_Data?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_6297603" data-work_id="6297603" 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/6297603/ITSUMO_An_Intelligent_Transportation_System_for_Urban_Mobility">ITSUMO: An Intelligent Transportation System for Urban Mobility</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">It is well-known that big cities suffer from traffic congestion and all consequences that come with it. This is an especial problem in cities in developing countries where the public transportation system is not reliable and where the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_6297603" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">It is well-known that big cities suffer from traffic congestion and all consequences that come with it. This is an especial problem in cities in developing countries where the public transportation system is not reliable and where the fleet of vehicles tend to be old thus increasing air pollution. There is no turnkey solution for this problem, but several improvements have been suggested in the field of urban and traffic management, provided an information system is built which can provide information to both the traffic experts and the user of the system. Such an information system has to incorporate features of an ITS and an ATIS. An underline assumption is that there is a simulation model to provide certain kinds of information in forecast. This paper discusses the model and implementation of such an information system which is based on a microscopic model of simulation and on cellular automata and is implemented using agent technologies and with a bottom-up philosophy in mind. We give here an overview of the project, the details of the modules (data, simulation, driver and information/visualization), as well as discuss an application of the simulation tool.</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/6297603" 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="a9ff37121ed01b042258276456ed7d10" rel="nofollow" data-download="{"attachment_id":48926182,"asset_id":6297603,"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/48926182/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="9763697" href="https://independent.academia.edu/BrunoSilva41">Bruno Silva</a><script data-card-contents-for-user="9763697" type="text/json">{"id":9763697,"first_name":"Bruno","last_name":"Silva","domain_name":"independent","page_name":"BrunoSilva41","display_name":"Bruno Silva","profile_url":"https://independent.academia.edu/BrunoSilva41?f_ri=3424","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_6297603 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="6297603"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 6297603, container: ".js-paper-rank-work_6297603", }); });</script></li><li class="js-percentile-work_6297603 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 = 6297603; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_6297603"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_6297603 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="6297603"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 6297603; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=6297603]").text(description); $(".js-view-count-work_6297603").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_6297603").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="6297603"><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="3254" rel="nofollow" href="https://www.academia.edu/Documents/in/Public_Transport">Public Transport</a>, <script data-card-contents-for-ri="3254" type="text/json">{"id":3254,"name":"Public Transport","url":"https://www.academia.edu/Documents/in/Public_Transport?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="11976" rel="nofollow" href="https://www.academia.edu/Documents/in/Air_pollution">Air pollution</a>, <script data-card-contents-for-ri="11976" type="text/json">{"id":11976,"name":"Air pollution","url":"https://www.academia.edu/Documents/in/Air_pollution?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="14981" rel="nofollow" href="https://www.academia.edu/Documents/in/Cellular_Automata">Cellular Automata</a><script data-card-contents-for-ri="14981" type="text/json">{"id":14981,"name":"Cellular Automata","url":"https://www.academia.edu/Documents/in/Cellular_Automata?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=6297603]'), work: {"id":6297603,"title":"ITSUMO: An Intelligent Transportation System for Urban Mobility","created_at":"2014-03-05T02:51:22.283-08:00","url":"https://www.academia.edu/6297603/ITSUMO_An_Intelligent_Transportation_System_for_Urban_Mobility?f_ri=3424","dom_id":"work_6297603","summary":"It is well-known that big cities suffer from traffic congestion and all consequences that come with it. This is an especial problem in cities in developing countries where the public transportation system is not reliable and where the fleet of vehicles tend to be old thus increasing air pollution. There is no turnkey solution for this problem, but several improvements have been suggested in the field of urban and traffic management, provided an information system is built which can provide information to both the traffic experts and the user of the system. Such an information system has to incorporate features of an ITS and an ATIS. An underline assumption is that there is a simulation model to provide certain kinds of information in forecast. This paper discusses the model and implementation of such an information system which is based on a microscopic model of simulation and on cellular automata and is implemented using agent technologies and with a bottom-up philosophy in mind. We give here an overview of the project, the details of the modules (data, simulation, driver and information/visualization), as well as discuss an application of the simulation tool.","downloadable_attachments":[{"id":48926182,"asset_id":6297603,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9763697,"first_name":"Bruno","last_name":"Silva","domain_name":"independent","page_name":"BrunoSilva41","display_name":"Bruno Silva","profile_url":"https://independent.academia.edu/BrunoSilva41?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":3254,"name":"Public Transport","url":"https://www.academia.edu/Documents/in/Public_Transport?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":11976,"name":"Air pollution","url":"https://www.academia.edu/Documents/in/Air_pollution?f_ri=3424","nofollow":true},{"id":14981,"name":"Cellular Automata","url":"https://www.academia.edu/Documents/in/Cellular_Automata?f_ri=3424","nofollow":true},{"id":19816,"name":"Intelligent Transport System","url":"https://www.academia.edu/Documents/in/Intelligent_Transport_System?f_ri=3424"},{"id":47295,"name":"Traffic Management","url":"https://www.academia.edu/Documents/in/Traffic_Management?f_ri=3424"},{"id":70854,"name":"Developing Country","url":"https://www.academia.edu/Documents/in/Developing_Country?f_ri=3424"},{"id":101199,"name":"Agent Technology","url":"https://www.academia.edu/Documents/in/Agent_Technology?f_ri=3424"},{"id":514518,"name":"Microscopic Traffic Simulation","url":"https://www.academia.edu/Documents/in/Microscopic_Traffic_Simulation?f_ri=3424"},{"id":904692,"name":"Bottom Up","url":"https://www.academia.edu/Documents/in/Bottom_Up?f_ri=3424"},{"id":1181607,"name":"Simulation Tool","url":"https://www.academia.edu/Documents/in/Simulation_Tool?f_ri=3424"},{"id":1208732,"name":"Simulation Model","url":"https://www.academia.edu/Documents/in/Simulation_Model?f_ri=3424"},{"id":1754849,"name":"Traffic Congestion","url":"https://www.academia.edu/Documents/in/Traffic_Congestion?f_ri=3424"},{"id":2213585,"name":"Information System","url":"https://www.academia.edu/Documents/in/Information_System?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_4133789" data-work_id="4133789" 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/4133789/Understanding_Information">Understanding Information</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 deals with the “Information” exhibition of 1970 at MoMA, one of the more significant exhibitions of Conceptual and related art of the period. The role of the curator as a type of artist is discussed, as is the importance of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_4133789" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This essay deals with the “Information” exhibition of 1970 at MoMA, one of the more significant exhibitions of Conceptual and related art of the period. The role of the curator as a type of artist is discussed, as is the importance of Marshall McLuhan’s writing to the exhibition.</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/4133789" 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="87a3fe8221b05011dc7aab4909d5dfb3" rel="nofollow" data-download="{"attachment_id":31653431,"asset_id":4133789,"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/31653431/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="4984868" href="https://uleth.academia.edu/KennethRAllan">Kenneth R. Allan</a><script data-card-contents-for-user="4984868" type="text/json">{"id":4984868,"first_name":"Kenneth R.","last_name":"Allan","domain_name":"uleth","page_name":"KennethRAllan","display_name":"Kenneth R. Allan","profile_url":"https://uleth.academia.edu/KennethRAllan?f_ri=3424","photo":"https://0.academia-photos.com/4984868/2161334/36275941/s65_kenneth_r..allan.jpg"}</script></span></span></li><li class="js-paper-rank-work_4133789 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="4133789"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 4133789, container: ".js-paper-rank-work_4133789", }); });</script></li><li class="js-percentile-work_4133789 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 = 4133789; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_4133789"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_4133789 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="4133789"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 4133789; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=4133789]").text(description); $(".js-view-count-work_4133789").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_4133789").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="4133789"><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="813" rel="nofollow" href="https://www.academia.edu/Documents/in/Political_Philosophy">Political Philosophy</a>, <script data-card-contents-for-ri="813" type="text/json">{"id":813,"name":"Political Philosophy","url":"https://www.academia.edu/Documents/in/Political_Philosophy?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1386" rel="nofollow" href="https://www.academia.edu/Documents/in/Art_Theory">Art Theory</a>, <script data-card-contents-for-ri="1386" type="text/json">{"id":1386,"name":"Art Theory","url":"https://www.academia.edu/Documents/in/Art_Theory?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1657" rel="nofollow" href="https://www.academia.edu/Documents/in/Museum_Studies">Museum Studies</a>, <script data-card-contents-for-ri="1657" type="text/json">{"id":1657,"name":"Museum Studies","url":"https://www.academia.edu/Documents/in/Museum_Studies?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3051" rel="nofollow" href="https://www.academia.edu/Documents/in/Contemporary_Art">Contemporary Art</a><script data-card-contents-for-ri="3051" type="text/json">{"id":3051,"name":"Contemporary Art","url":"https://www.academia.edu/Documents/in/Contemporary_Art?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=4133789]'), work: {"id":4133789,"title":"Understanding Information","created_at":"2013-07-29T20:45:08.514-07:00","url":"https://www.academia.edu/4133789/Understanding_Information?f_ri=3424","dom_id":"work_4133789","summary":"This essay deals with the “Information” exhibition of 1970 at MoMA, one of the more significant exhibitions of Conceptual and related art of the period. The role of the curator as a type of artist is discussed, as is the importance of Marshall McLuhan’s writing to the exhibition.","downloadable_attachments":[{"id":31653431,"asset_id":4133789,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":4984868,"first_name":"Kenneth R.","last_name":"Allan","domain_name":"uleth","page_name":"KennethRAllan","display_name":"Kenneth R. Allan","profile_url":"https://uleth.academia.edu/KennethRAllan?f_ri=3424","photo":"https://0.academia-photos.com/4984868/2161334/36275941/s65_kenneth_r..allan.jpg"}],"research_interests":[{"id":813,"name":"Political Philosophy","url":"https://www.academia.edu/Documents/in/Political_Philosophy?f_ri=3424","nofollow":true},{"id":1386,"name":"Art Theory","url":"https://www.academia.edu/Documents/in/Art_Theory?f_ri=3424","nofollow":true},{"id":1657,"name":"Museum Studies","url":"https://www.academia.edu/Documents/in/Museum_Studies?f_ri=3424","nofollow":true},{"id":3051,"name":"Contemporary Art","url":"https://www.academia.edu/Documents/in/Contemporary_Art?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424"},{"id":3581,"name":"Poetry","url":"https://www.academia.edu/Documents/in/Poetry?f_ri=3424"},{"id":4950,"name":"Modern Art","url":"https://www.academia.edu/Documents/in/Modern_Art?f_ri=3424"},{"id":15749,"name":"Art Criticism","url":"https://www.academia.edu/Documents/in/Art_Criticism?f_ri=3424"},{"id":20178,"name":"Conceptual Art","url":"https://www.academia.edu/Documents/in/Conceptual_Art?f_ri=3424"},{"id":24608,"name":"Marshall McLuhan","url":"https://www.academia.edu/Documents/in/Marshall_McLuhan?f_ri=3424"},{"id":36113,"name":"Institutional Critique","url":"https://www.academia.edu/Documents/in/Institutional_Critique?f_ri=3424"},{"id":147571,"name":"The Political","url":"https://www.academia.edu/Documents/in/The_Political?f_ri=3424"},{"id":407686,"name":"Museum of Modern Art (MOMA NY)","url":"https://www.academia.edu/Documents/in/Museum_of_Modern_Art_MOMA_NY_?f_ri=3424"},{"id":445622,"name":"Curating contemporary art","url":"https://www.academia.edu/Documents/in/Curating_contemporary_art?f_ri=3424"},{"id":573068,"name":"Critical Poetics","url":"https://www.academia.edu/Documents/in/Critical_Poetics?f_ri=3424"},{"id":1222774,"name":"Continental Philosophy and Aesthetics","url":"https://www.academia.edu/Documents/in/Continental_Philosophy_and_Aesthetics?f_ri=3424"},{"id":1222775,"name":"Modernism and Posmodernism in Post World War Two North America","url":"https://www.academia.edu/Documents/in/Modernism_and_Posmodernism_in_Post_World_War_Two_North_America?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_72407032 coauthored" data-work_id="72407032" 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/72407032/Visualization_of_multivariate_athlete_performance_data">Visualization of multivariate athlete performance data</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">We present a set of visualization methods for the analysis of multivariate data recorded from the measurement of the performance of athletes during training. We use a modified training device to measure the force, acceleration,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_72407032" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We present a set of visualization methods for the analysis of multivariate data recorded from the measurement of the performance of athletes during training. We use a modified training device to measure the force, acceleration, displacement, and speed of the athlete’s feet and arms while performing a certain training exercise. We are interested in visually measuring and comparing the performance</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/72407032" 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="fe4c1010086708082db864f7abc4ac5d" rel="nofollow" data-download="{"attachment_id":81344038,"asset_id":72407032,"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/81344038/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="12210272" href="https://independent.academia.edu/PierreJosephdeHillerin">Pierre Joseph J N de Hillerin</a><script data-card-contents-for-user="12210272" type="text/json">{"id":12210272,"first_name":"Pierre Joseph","last_name":"de Hillerin","domain_name":"independent","page_name":"PierreJosephdeHillerin","display_name":"Pierre Joseph J N de Hillerin","profile_url":"https://independent.academia.edu/PierreJosephdeHillerin?f_ri=3424","photo":"https://0.academia-photos.com/12210272/19648583/21201667/s65_pierre_joseph.de_hillerin.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-72407032">+1</span><div class="hidden js-additional-users-72407032"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/VladValeanu2">Vlad Valeanu</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-72407032'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-72407032').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_72407032 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="72407032"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 72407032, container: ".js-paper-rank-work_72407032", }); });</script></li><li class="js-percentile-work_72407032 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 = 72407032; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_72407032"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_72407032 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="72407032"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 72407032; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=72407032]").text(description); $(".js-view-count-work_72407032").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_72407032").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="72407032"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><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=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="404251" rel="nofollow" href="https://www.academia.edu/Documents/in/Multivariate_Data">Multivariate Data</a>, <script data-card-contents-for-ri="404251" type="text/json">{"id":404251,"name":"Multivariate Data","url":"https://www.academia.edu/Documents/in/Multivariate_Data?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="691413" rel="nofollow" href="https://www.academia.edu/Documents/in/Athletic_performance">Athletic performance</a><script data-card-contents-for-ri="691413" type="text/json">{"id":691413,"name":"Athletic performance","url":"https://www.academia.edu/Documents/in/Athletic_performance?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=72407032]'), work: {"id":72407032,"title":"Visualization of multivariate athlete performance data","created_at":"2022-02-24T05:11:18.963-08:00","url":"https://www.academia.edu/72407032/Visualization_of_multivariate_athlete_performance_data?f_ri=3424","dom_id":"work_72407032","summary":"We present a set of visualization methods for the analysis of multivariate data recorded from the measurement of the performance of athletes during training. We use a modified training device to measure the force, acceleration, displacement, and speed of the athlete’s feet and arms while performing a certain training exercise. We are interested in visually measuring and comparing the performance","downloadable_attachments":[{"id":81344038,"asset_id":72407032,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":12210272,"first_name":"Pierre Joseph","last_name":"de Hillerin","domain_name":"independent","page_name":"PierreJosephdeHillerin","display_name":"Pierre Joseph J N de Hillerin","profile_url":"https://independent.academia.edu/PierreJosephdeHillerin?f_ri=3424","photo":"https://0.academia-photos.com/12210272/19648583/21201667/s65_pierre_joseph.de_hillerin.jpg"},{"id":217157944,"first_name":"Vlad","last_name":"Valeanu","domain_name":"independent","page_name":"VladValeanu2","display_name":"Vlad Valeanu","profile_url":"https://independent.academia.edu/VladValeanu2?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":404251,"name":"Multivariate Data","url":"https://www.academia.edu/Documents/in/Multivariate_Data?f_ri=3424","nofollow":true},{"id":691413,"name":"Athletic performance","url":"https://www.academia.edu/Documents/in/Athletic_performance?f_ri=3424","nofollow":true},{"id":2505202,"name":"multivariate visualization","url":"https://www.academia.edu/Documents/in/multivariate_visualization?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_65111708" data-work_id="65111708" 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/65111708/Interactive_information_visualization_to_explore_and_query_electronic_health_records">Interactive information visualization to explore and query electronic health records</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Physicians are confronted with increasingly complex patient histories based on which they must make life-critical treatment decisions. At the same time, clinical researchers are eager to study the growing databases of patient histories to... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_65111708" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Physicians are confronted with increasingly complex patient histories based on which they must make life-critical treatment decisions. At the same time, clinical researchers are eager to study the growing databases of patient histories to detect unknown patterns, ensure quality control, and discover surprising outcomes. Designers of Electronic Health Record systems (EHRs) have great potential to apply innovative visual methods to support clinical decision-making and research. This work surveys the state-of-the-art of information visualization systems for exploring and querying EHRs, as described in the scientific literature. We examine how systems differ in their features and highlight how these differences are related to their design and the medical scenarios they tackle. The systems are compared on a set of criteria: (1) data types covered, (2) multivariate analysis support, (3) number of patient records used (one or multiple), and (4) user intents addressed. Based on our survey and evidence gained from evaluation studies, we believe that effective information visualization can facilitate analysis of EHRs for patient treatment and clinical research. Thus, we encourage the information visualization community to study the application of their systems in health care. Our monograph is written for both scientific researchers and designers of future user interfaces for EHRs. We hope it will help them understand this vital domain and appreciate the features and virtues of existing systems, so they can create still more advanced systems. We identify potential future research topics in interactive support for data abstraction, in systems for intermittent users, such as patients, and in more detailed evaluations.</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/65111708" 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="a853ff25dc8bf038c241dcd93813c8e7" rel="nofollow" data-download="{"attachment_id":76843612,"asset_id":65111708,"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/76843612/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="139337030" href="https://independent.academia.edu/MikschSilvia">Silvia Miksch</a><script data-card-contents-for-user="139337030" type="text/json">{"id":139337030,"first_name":"Silvia","last_name":"Miksch","domain_name":"independent","page_name":"MikschSilvia","display_name":"Silvia Miksch","profile_url":"https://independent.academia.edu/MikschSilvia?f_ri=3424","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_65111708 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="65111708"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 65111708, container: ".js-paper-rank-work_65111708", }); });</script></li><li class="js-percentile-work_65111708 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 = 65111708; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_65111708"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_65111708 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="65111708"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 65111708; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=65111708]").text(description); $(".js-view-count-work_65111708").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_65111708").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="65111708"><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="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=3424","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=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4416" rel="nofollow" href="https://www.academia.edu/Documents/in/Interaction_Design">Interaction Design</a><script data-card-contents-for-ri="4416" type="text/json">{"id":4416,"name":"Interaction Design","url":"https://www.academia.edu/Documents/in/Interaction_Design?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=65111708]'), work: {"id":65111708,"title":"Interactive information visualization to explore and query electronic health records","created_at":"2021-12-19T08:44:54.824-08:00","url":"https://www.academia.edu/65111708/Interactive_information_visualization_to_explore_and_query_electronic_health_records?f_ri=3424","dom_id":"work_65111708","summary":"Physicians are confronted with increasingly complex patient histories based on which they must make life-critical treatment decisions. At the same time, clinical researchers are eager to study the growing databases of patient histories to detect unknown patterns, ensure quality control, and discover surprising outcomes. Designers of Electronic Health Record systems (EHRs) have great potential to apply innovative visual methods to support clinical decision-making and research. This work surveys the state-of-the-art of information visualization systems for exploring and querying EHRs, as described in the scientific literature. We examine how systems differ in their features and highlight how these differences are related to their design and the medical scenarios they tackle. The systems are compared on a set of criteria: (1) data types covered, (2) multivariate analysis support, (3) number of patient records used (one or multiple), and (4) user intents addressed. Based on our survey and evidence gained from evaluation studies, we believe that effective information visualization can facilitate analysis of EHRs for patient treatment and clinical research. Thus, we encourage the information visualization community to study the application of their systems in health care. Our monograph is written for both scientific researchers and designers of future user interfaces for EHRs. We hope it will help them understand this vital domain and appreciate the features and virtues of existing systems, so they can create still more advanced systems. We identify potential future research topics in interactive support for data abstraction, in systems for intermittent users, such as patients, and in more detailed evaluations.","downloadable_attachments":[{"id":76843612,"asset_id":65111708,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":139337030,"first_name":"Silvia","last_name":"Miksch","domain_name":"independent","page_name":"MikschSilvia","display_name":"Silvia Miksch","profile_url":"https://independent.academia.edu/MikschSilvia?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=3424","nofollow":true},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":4416,"name":"Interaction Design","url":"https://www.academia.edu/Documents/in/Interaction_Design?f_ri=3424","nofollow":true},{"id":4441,"name":"Health Care","url":"https://www.academia.edu/Documents/in/Health_Care?f_ri=3424"},{"id":6078,"name":"Visual Analytics","url":"https://www.academia.edu/Documents/in/Visual_Analytics?f_ri=3424"},{"id":7960,"name":"Temporal Data Mining","url":"https://www.academia.edu/Documents/in/Temporal_Data_Mining?f_ri=3424"},{"id":11119,"name":"User Interface","url":"https://www.academia.edu/Documents/in/User_Interface?f_ri=3424"},{"id":29393,"name":"Healthcare","url":"https://www.academia.edu/Documents/in/Healthcare?f_ri=3424"},{"id":37306,"name":"Quality Control","url":"https://www.academia.edu/Documents/in/Quality_Control?f_ri=3424"},{"id":41482,"name":"Multivariate Analysis","url":"https://www.academia.edu/Documents/in/Multivariate_Analysis?f_ri=3424"},{"id":51740,"name":"Clinical Decision Making","url":"https://www.academia.edu/Documents/in/Clinical_Decision_Making?f_ri=3424"},{"id":52317,"name":"Electronic Health Record","url":"https://www.academia.edu/Documents/in/Electronic_Health_Record?f_ri=3424"},{"id":66110,"name":"Clinical research","url":"https://www.academia.edu/Documents/in/Clinical_research?f_ri=3424"},{"id":68891,"name":"Usability Engineering","url":"https://www.academia.edu/Documents/in/Usability_Engineering?f_ri=3424"},{"id":375247,"name":"Evaluation Studies","url":"https://www.academia.edu/Documents/in/Evaluation_Studies?f_ri=3424"},{"id":387716,"name":"Scientific Research","url":"https://www.academia.edu/Documents/in/Scientific_Research?f_ri=3424"},{"id":1547415,"name":"Data Type","url":"https://www.academia.edu/Documents/in/Data_Type?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_52909436" data-work_id="52909436" 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/52909436/Artistic_Data_Visualization_Beyond_Visual_Analytics">Artistic Data Visualization: Beyond Visual Analytics</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Information visualization is traditionally viewed as a tool for data exploration and hypothesis formation. Because of its roots in scientific reasoning, visualization has traditionally been viewed as an analytical tool for sensemaking. In... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_52909436" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Information visualization is traditionally viewed as a tool for data exploration and hypothesis formation. Because of its roots in scientific reasoning, visualization has traditionally been viewed as an analytical tool for sensemaking. In recent years, however, both the mainstreaming of computer graphics and the democratization of data sources on the Internet have had important repercussions in the field of information visualization. With the ability to create visual representations of data on home computers, artists and designers have taken matters into their own hands and expanded the conceptual horizon of infovis as artistic practice. This paper presents a brief survey of projects in the field of artistic information visualization and a preliminary examination of how artists appropriate and repurpose "scientific" techniques to create pieces that actively guide analytical reasoning and encourage a contextualized reading of their subject matter.</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/52909436" 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="40abf8b2ef531e92fa12dd99a12c5ea0" rel="nofollow" data-download="{"attachment_id":69943768,"asset_id":52909436,"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/69943768/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="38446872" href="https://independent.academia.edu/FernandaVi%C3%A9gas">Fernanda Viégas</a><script data-card-contents-for-user="38446872" type="text/json">{"id":38446872,"first_name":"Fernanda","last_name":"Viégas","domain_name":"independent","page_name":"FernandaViégas","display_name":"Fernanda Viégas","profile_url":"https://independent.academia.edu/FernandaVi%C3%A9gas?f_ri=3424","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_52909436 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="52909436"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 52909436, container: ".js-paper-rank-work_52909436", }); 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$(".js-view-count[data-work-id=52909436]").text(description); $(".js-view-count-work_52909436").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_52909436").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="52909436"><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=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1236" rel="nofollow" href="https://www.academia.edu/Documents/in/Art">Art</a>, <script data-card-contents-for-ri="1236" type="text/json">{"id":1236,"name":"Art","url":"https://www.academia.edu/Documents/in/Art?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1440" rel="nofollow" href="https://www.academia.edu/Documents/in/Visualization">Visualization</a>, <script data-card-contents-for-ri="1440" type="text/json">{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a><script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=52909436]'), work: {"id":52909436,"title":"Artistic Data Visualization: Beyond Visual Analytics","created_at":"2021-09-19T17:43:26.100-07:00","url":"https://www.academia.edu/52909436/Artistic_Data_Visualization_Beyond_Visual_Analytics?f_ri=3424","dom_id":"work_52909436","summary":"Information visualization is traditionally viewed as a tool for data exploration and hypothesis formation. Because of its roots in scientific reasoning, visualization has traditionally been viewed as an analytical tool for sensemaking. In recent years, however, both the mainstreaming of computer graphics and the democratization of data sources on the Internet have had important repercussions in the field of information visualization. With the ability to create visual representations of data on home computers, artists and designers have taken matters into their own hands and expanded the conceptual horizon of infovis as artistic practice. This paper presents a brief survey of projects in the field of artistic information visualization and a preliminary examination of how artists appropriate and repurpose \"scientific\" techniques to create pieces that actively guide analytical reasoning and encourage a contextualized reading of their subject matter.","downloadable_attachments":[{"id":69943768,"asset_id":52909436,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":38446872,"first_name":"Fernanda","last_name":"Viégas","domain_name":"independent","page_name":"FernandaViégas","display_name":"Fernanda Viégas","profile_url":"https://independent.academia.edu/FernandaVi%C3%A9gas?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=3424","nofollow":true},{"id":1236,"name":"Art","url":"https://www.academia.edu/Documents/in/Art?f_ri=3424","nofollow":true},{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":6078,"name":"Visual Analytics","url":"https://www.academia.edu/Documents/in/Visual_Analytics?f_ri=3424"},{"id":47980,"name":"Data Visualization","url":"https://www.academia.edu/Documents/in/Data_Visualization?f_ri=3424"},{"id":51380,"name":"Visual Art","url":"https://www.academia.edu/Documents/in/Visual_Art?f_ri=3424"},{"id":224280,"name":"Data Exploration","url":"https://www.academia.edu/Documents/in/Data_Exploration?f_ri=3424"},{"id":264606,"name":"Computer Graphic","url":"https://www.academia.edu/Documents/in/Computer_Graphic?f_ri=3424"},{"id":326252,"name":"Visual Representation","url":"https://www.academia.edu/Documents/in/Visual_Representation?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5068816" data-work_id="5068816" 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/5068816/Web_Services_Business_Process_Execution_Language_Version_2_0">Web Services Business Process Execution Language Version 2.0</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 WS-BPEL 2.0 specification [WS-BPEL 2.0] provides a language for formally describing business processes and business interaction protocols. WS-BPEL was designed to extend the Web Services interaction model to support business... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5068816" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The WS-BPEL 2.0 specification [WS-BPEL 2.0] provides a language for formally describing business processes and business interaction protocols. WS-BPEL was designed to extend the Web Services interaction model to support business transactions.</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/5068816" 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="6647c70f48250ef2b2559d251b887132" rel="nofollow" data-download="{"attachment_id":32290702,"asset_id":5068816,"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/32290702/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="6775896" href="https://independent.academia.edu/DianH">Dian H</a><script data-card-contents-for-user="6775896" type="text/json">{"id":6775896,"first_name":"Dian","last_name":"H","domain_name":"independent","page_name":"DianH","display_name":"Dian H","profile_url":"https://independent.academia.edu/DianH?f_ri=3424","photo":"https://0.academia-photos.com/6775896/2691390/3132737/s65_dian.h.jpg"}</script></span></span></li><li class="js-paper-rank-work_5068816 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5068816"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5068816, container: ".js-paper-rank-work_5068816", }); });</script></li><li class="js-percentile-work_5068816 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 = 5068816; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_5068816"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_5068816 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="5068816"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5068816; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5068816]").text(description); $(".js-view-count-work_5068816").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5068816").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="5068816"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">6</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="449" rel="nofollow" href="https://www.academia.edu/Documents/in/Software_Engineering">Software Engineering</a>, <script data-card-contents-for-ri="449" type="text/json">{"id":449,"name":"Software Engineering","url":"https://www.academia.edu/Documents/in/Software_Engineering?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4051" rel="nofollow" href="https://www.academia.edu/Documents/in/Business_Process_Management">Business Process Management</a>, <script data-card-contents-for-ri="4051" type="text/json">{"id":4051,"name":"Business Process Management","url":"https://www.academia.edu/Documents/in/Business_Process_Management?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="11115" rel="nofollow" href="https://www.academia.edu/Documents/in/Business_Process_Modeling">Business Process Modeling</a><script data-card-contents-for-ri="11115" type="text/json">{"id":11115,"name":"Business Process Modeling","url":"https://www.academia.edu/Documents/in/Business_Process_Modeling?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5068816]'), work: {"id":5068816,"title":"Web Services Business Process Execution Language Version 2.0","created_at":"2013-11-11T18:49:26.082-08:00","url":"https://www.academia.edu/5068816/Web_Services_Business_Process_Execution_Language_Version_2_0?f_ri=3424","dom_id":"work_5068816","summary":"The WS-BPEL 2.0 specification [WS-BPEL 2.0] provides a language for formally describing business processes and business interaction protocols. WS-BPEL was designed to extend the Web Services interaction model to support business transactions.","downloadable_attachments":[{"id":32290702,"asset_id":5068816,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":6775896,"first_name":"Dian","last_name":"H","domain_name":"independent","page_name":"DianH","display_name":"Dian H","profile_url":"https://independent.academia.edu/DianH?f_ri=3424","photo":"https://0.academia-photos.com/6775896/2691390/3132737/s65_dian.h.jpg"}],"research_interests":[{"id":449,"name":"Software Engineering","url":"https://www.academia.edu/Documents/in/Software_Engineering?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":4051,"name":"Business Process Management","url":"https://www.academia.edu/Documents/in/Business_Process_Management?f_ri=3424","nofollow":true},{"id":11115,"name":"Business Process Modeling","url":"https://www.academia.edu/Documents/in/Business_Process_Modeling?f_ri=3424","nofollow":true},{"id":299902,"name":"Standard","url":"https://www.academia.edu/Documents/in/Standard?f_ri=3424"},{"id":317992,"name":"Web Service","url":"https://www.academia.edu/Documents/in/Web_Service?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_4337403 coauthored" data-work_id="4337403" 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/4337403/Communication_Design_and_the_Digital_Humanities_Visualizations_and_Interfaces_for_Humanities_Research">Communication Design and the Digital Humanities. Visualizations and Interfaces for Humanities Research</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 ongoing research focused on understanding the role that design, especially through the definition of information visualizations and interfaces, can have within digital humanities research. A review of the current... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_4337403" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper presents an ongoing research focused on understanding the role that design, especially through the definition of information visualizations and interfaces, can have within digital humanities research. A review of the current involvement of design within the digital humanities is provided and several projects, coming from a two-year collaboration within a digital humanities initiative, are then presented and discussed in detail, with particular attention to the design processes involved. Finally, a collaborative model for research is articulated, emphasizing the need for new hybridized forms of thinking and making between designers, scholars and computer scientists</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/4337403" 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="e20b0128b6429970767436872d0ce0b5" rel="nofollow" data-download="{"attachment_id":31787223,"asset_id":4337403,"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/31787223/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="177159" href="https://stanford.academia.edu/NicoleColeman">Nicole Coleman</a><script data-card-contents-for-user="177159" type="text/json">{"id":177159,"first_name":"Nicole","last_name":"Coleman","domain_name":"stanford","page_name":"NicoleColeman","display_name":"Nicole Coleman","profile_url":"https://stanford.academia.edu/NicoleColeman?f_ri=3424","photo":"https://gravatar.com/avatar/f08e44746a8a6a08a8a76eacac2476c2?s=65"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-4337403">+1</span><div class="hidden js-additional-users-4337403"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://neu.academia.edu/PaoloCiuccarelli">Paolo Ciuccarelli</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-4337403'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-4337403').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_4337403 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="4337403"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 4337403, container: ".js-paper-rank-work_4337403", }); });</script></li><li class="js-percentile-work_4337403 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 = 4337403; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_4337403"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_4337403 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="4337403"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 4337403; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=4337403]").text(description); $(".js-view-count-work_4337403").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_4337403").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="4337403"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">6</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="489" rel="nofollow" href="https://www.academia.edu/Documents/in/Humanities_Computing_Digital_Humanities_">Humanities Computing (Digital Humanities)</a>, <script data-card-contents-for-ri="489" type="text/json">{"id":489,"name":"Humanities Computing (Digital Humanities)","url":"https://www.academia.edu/Documents/in/Humanities_Computing_Digital_Humanities_?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1197" rel="nofollow" href="https://www.academia.edu/Documents/in/Digital_Humanities">Digital Humanities</a>, <script data-card-contents-for-ri="1197" type="text/json">{"id":1197,"name":"Digital Humanities","url":"https://www.academia.edu/Documents/in/Digital_Humanities?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="11467" rel="nofollow" href="https://www.academia.edu/Documents/in/Visual_Communication">Visual Communication</a><script data-card-contents-for-ri="11467" type="text/json">{"id":11467,"name":"Visual Communication","url":"https://www.academia.edu/Documents/in/Visual_Communication?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=4337403]'), work: {"id":4337403,"title":"Communication Design and the Digital Humanities. Visualizations and Interfaces for Humanities Research","created_at":"2013-08-26T23:12:20.679-07:00","url":"https://www.academia.edu/4337403/Communication_Design_and_the_Digital_Humanities_Visualizations_and_Interfaces_for_Humanities_Research?f_ri=3424","dom_id":"work_4337403","summary":"This paper presents an ongoing research focused on understanding the role that design, especially through the definition of information visualizations and interfaces, can have within digital humanities research. A review of the current involvement of design within the digital humanities is provided and several projects, coming from a two-year collaboration within a digital humanities initiative, are then presented and discussed in detail, with particular attention to the design processes involved. Finally, a collaborative model for research is articulated, emphasizing the need for new hybridized forms of thinking and making between designers, scholars and computer scientists","downloadable_attachments":[{"id":31787223,"asset_id":4337403,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":177159,"first_name":"Nicole","last_name":"Coleman","domain_name":"stanford","page_name":"NicoleColeman","display_name":"Nicole Coleman","profile_url":"https://stanford.academia.edu/NicoleColeman?f_ri=3424","photo":"https://gravatar.com/avatar/f08e44746a8a6a08a8a76eacac2476c2?s=65"},{"id":381772,"first_name":"Paolo","last_name":"Ciuccarelli","domain_name":"neu","page_name":"PaoloCiuccarelli","display_name":"Paolo Ciuccarelli","profile_url":"https://neu.academia.edu/PaoloCiuccarelli?f_ri=3424","photo":"https://0.academia-photos.com/381772/118578/138369/s65_paolo.ciuccarelli.jpg"}],"research_interests":[{"id":489,"name":"Humanities Computing (Digital Humanities)","url":"https://www.academia.edu/Documents/in/Humanities_Computing_Digital_Humanities_?f_ri=3424","nofollow":true},{"id":1197,"name":"Digital Humanities","url":"https://www.academia.edu/Documents/in/Digital_Humanities?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":11467,"name":"Visual Communication","url":"https://www.academia.edu/Documents/in/Visual_Communication?f_ri=3424","nofollow":true},{"id":11615,"name":"Communication Design","url":"https://www.academia.edu/Documents/in/Communication_Design?f_ri=3424"},{"id":47980,"name":"Data Visualization","url":"https://www.academia.edu/Documents/in/Data_Visualization?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_9251697" data-work_id="9251697" 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/9251697/Scattering_Points_in_Parallel_Coordinates">Scattering Points in Parallel Coordinates</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 this paper, we present a novel parallel coordinates design integrated with points (Scattering Points in Parallel Coordinates, SPPC), by taking advantage of both parallel coordinates and scatterplots. Different from most multiple views... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_9251697" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In this paper, we present a novel parallel coordinates design integrated with points (Scattering Points in Parallel Coordinates, SPPC), by taking advantage of both parallel coordinates and scatterplots. Different from most multiple views visualization frameworks involving parallel coordinates where each visualization type occupies an individual window, we convert two selected neighboring coordinate axes into a scatterplot directly. Multidimensional scaling is adopted to allow converting multiple axes into a single subplot. The transition between two visual types is designed in a seamless way. In our work, a series of interaction tools has been developed. Uniform brushing functionality is implemented to allow the user to perform data selection on both points and parallel coordinate polylines without explicitly switching tools. A GPU accelerated Dimensional Incremental Multidimensional Scaling (DIMDS) has been developed to significantly improve the system performance. Our case study shows that our scheme is more efficient than traditional multi-view methods in performing visual analysis tasks.</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/9251697" 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="e735ada7e6894220811a3ae3e11c95fd" rel="nofollow" data-download="{"attachment_id":35520134,"asset_id":9251697,"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/35520134/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="21232381" href="https://tamu.academia.edu/PeihongGuo">Peihong Guo</a><script data-card-contents-for-user="21232381" type="text/json">{"id":21232381,"first_name":"Peihong","last_name":"Guo","domain_name":"tamu","page_name":"PeihongGuo","display_name":"Peihong Guo","profile_url":"https://tamu.academia.edu/PeihongGuo?f_ri=3424","photo":"https://gravatar.com/avatar/9bc2069a9dbe4009bdc5b0a262186c55?s=65"}</script></span></span></li><li class="js-paper-rank-work_9251697 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="9251697"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 9251697, container: ".js-paper-rank-work_9251697", }); });</script></li><li class="js-percentile-work_9251697 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 = 9251697; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_9251697"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_9251697 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="9251697"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 9251697; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=9251697]").text(description); $(".js-view-count-work_9251697").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_9251697").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="9251697"><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="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4269" rel="nofollow" href="https://www.academia.edu/Documents/in/Multidimensional_Scaling">Multidimensional Scaling</a>, <script data-card-contents-for-ri="4269" type="text/json">{"id":4269,"name":"Multidimensional Scaling","url":"https://www.academia.edu/Documents/in/Multidimensional_Scaling?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="47555" rel="nofollow" href="https://www.academia.edu/Documents/in/Dimensionality_Reduction">Dimensionality Reduction</a>, <script data-card-contents-for-ri="47555" type="text/json">{"id":47555,"name":"Dimensionality Reduction","url":"https://www.academia.edu/Documents/in/Dimensionality_Reduction?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="48591" rel="nofollow" href="https://www.academia.edu/Documents/in/Data_Visualisation">Data Visualisation</a><script data-card-contents-for-ri="48591" type="text/json">{"id":48591,"name":"Data Visualisation","url":"https://www.academia.edu/Documents/in/Data_Visualisation?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=9251697]'), work: {"id":9251697,"title":"Scattering Points in Parallel Coordinates","created_at":"2014-11-11T06:54:52.103-08:00","url":"https://www.academia.edu/9251697/Scattering_Points_in_Parallel_Coordinates?f_ri=3424","dom_id":"work_9251697","summary":"In this paper, we present a novel parallel coordinates design integrated with points (Scattering Points in Parallel Coordinates, SPPC), by taking advantage of both parallel coordinates and scatterplots. Different from most multiple views visualization frameworks involving parallel coordinates where each visualization type occupies an individual window, we convert two selected neighboring coordinate axes into a scatterplot directly. Multidimensional scaling is adopted to allow converting multiple axes into a single subplot. The transition between two visual types is designed in a seamless way. In our work, a series of interaction tools has been developed. Uniform brushing functionality is implemented to allow the user to perform data selection on both points and parallel coordinate polylines without explicitly switching tools. A GPU accelerated Dimensional Incremental Multidimensional Scaling (DIMDS) has been developed to significantly improve the system performance. Our case study shows that our scheme is more efficient than traditional multi-view methods in performing visual analysis tasks.","downloadable_attachments":[{"id":35520134,"asset_id":9251697,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21232381,"first_name":"Peihong","last_name":"Guo","domain_name":"tamu","page_name":"PeihongGuo","display_name":"Peihong Guo","profile_url":"https://tamu.academia.edu/PeihongGuo?f_ri=3424","photo":"https://gravatar.com/avatar/9bc2069a9dbe4009bdc5b0a262186c55?s=65"}],"research_interests":[{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":4269,"name":"Multidimensional Scaling","url":"https://www.academia.edu/Documents/in/Multidimensional_Scaling?f_ri=3424","nofollow":true},{"id":47555,"name":"Dimensionality Reduction","url":"https://www.academia.edu/Documents/in/Dimensionality_Reduction?f_ri=3424","nofollow":true},{"id":48591,"name":"Data Visualisation","url":"https://www.academia.edu/Documents/in/Data_Visualisation?f_ri=3424","nofollow":true},{"id":55556,"name":"Visual Analysis","url":"https://www.academia.edu/Documents/in/Visual_Analysis?f_ri=3424"},{"id":96047,"name":"Case Study","url":"https://www.academia.edu/Documents/in/Case_Study?f_ri=3424"},{"id":101071,"name":"Interactivity","url":"https://www.academia.edu/Documents/in/Interactivity?f_ri=3424"},{"id":838973,"name":"System performance","url":"https://www.academia.edu/Documents/in/System_performance?f_ri=3424"},{"id":1269419,"name":"Multiple Views","url":"https://www.academia.edu/Documents/in/Multiple_Views?f_ri=3424"},{"id":2240903,"name":"Quality Metric","url":"https://www.academia.edu/Documents/in/Quality_Metric?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_48464414" data-work_id="48464414" 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/48464414/Terminology_model_discovery_using_natural_language_processing_and_visualization_techniques">Terminology model discovery using natural language processing and visualization techniques</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Medical terminologies are important for unambiguous encoding and exchange of clinical information. The traditional manual method of developing terminology models is time-consuming and limited in the number of phrases that a human... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_48464414" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Medical terminologies are important for unambiguous encoding and exchange of clinical information. The traditional manual method of developing terminology models is time-consuming and limited in the number of phrases that a human developer can examine. In this paper, we present an automated method for developing medical terminology models based on natural language processing (NLP) and information visualization techniques. Surgical pathology reports were selected as the testing corpus for developing a pathology procedure terminology model. The use of a general NLP processor for the medical domain, MedLEE, provides an automated method for acquiring semantic structures from a free text corpus and sheds light on a new high-throughput method of medical terminology model development. The use of an information visualization technique supports the summarization and visualization of the large quantity of semantic structures generated from medical documents. We believe that a general method based on NLP and information visualization will facilitate the modeling of medical terminologies.</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/48464414" 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="0dc359bce790d1788abd505b69cac532" rel="nofollow" data-download="{"attachment_id":67061945,"asset_id":48464414,"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/67061945/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="31249844" href="https://columbia.academia.edu/CarolFriedman">Carol Friedman</a><script data-card-contents-for-user="31249844" type="text/json">{"id":31249844,"first_name":"Carol","last_name":"Friedman","domain_name":"columbia","page_name":"CarolFriedman","display_name":"Carol Friedman","profile_url":"https://columbia.academia.edu/CarolFriedman?f_ri=3424","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_48464414 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="48464414"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 48464414, container: ".js-paper-rank-work_48464414", }); });</script></li><li class="js-percentile-work_48464414 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 = 48464414; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_48464414"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_48464414 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="48464414"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 48464414; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=48464414]").text(description); $(".js-view-count-work_48464414").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_48464414").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="48464414"><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="451" rel="nofollow" href="https://www.academia.edu/Documents/in/Programming_Languages">Programming Languages</a>, <script data-card-contents-for-ri="451" type="text/json">{"id":451,"name":"Programming Languages","url":"https://www.academia.edu/Documents/in/Programming_Languages?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1432" rel="nofollow" href="https://www.academia.edu/Documents/in/Natural_Language_Processing">Natural Language Processing</a>, <script data-card-contents-for-ri="1432" type="text/json">{"id":1432,"name":"Natural Language Processing","url":"https://www.academia.edu/Documents/in/Natural_Language_Processing?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","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=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=48464414]'), work: {"id":48464414,"title":"Terminology model discovery using natural language processing and visualization techniques","created_at":"2021-05-04T19:37:17.682-07:00","url":"https://www.academia.edu/48464414/Terminology_model_discovery_using_natural_language_processing_and_visualization_techniques?f_ri=3424","dom_id":"work_48464414","summary":"Medical terminologies are important for unambiguous encoding and exchange of clinical information. The traditional manual method of developing terminology models is time-consuming and limited in the number of phrases that a human developer can examine. In this paper, we present an automated method for developing medical terminology models based on natural language processing (NLP) and information visualization techniques. Surgical pathology reports were selected as the testing corpus for developing a pathology procedure terminology model. The use of a general NLP processor for the medical domain, MedLEE, provides an automated method for acquiring semantic structures from a free text corpus and sheds light on a new high-throughput method of medical terminology model development. The use of an information visualization technique supports the summarization and visualization of the large quantity of semantic structures generated from medical documents. We believe that a general method based on NLP and information visualization will facilitate the modeling of medical terminologies.","downloadable_attachments":[{"id":67061945,"asset_id":48464414,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":31249844,"first_name":"Carol","last_name":"Friedman","domain_name":"columbia","page_name":"CarolFriedman","display_name":"Carol Friedman","profile_url":"https://columbia.academia.edu/CarolFriedman?f_ri=3424","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":451,"name":"Programming Languages","url":"https://www.academia.edu/Documents/in/Programming_Languages?f_ri=3424","nofollow":true},{"id":1432,"name":"Natural Language Processing","url":"https://www.academia.edu/Documents/in/Natural_Language_Processing?f_ri=3424","nofollow":true},{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":4233,"name":"Computational Biology","url":"https://www.academia.edu/Documents/in/Computational_Biology?f_ri=3424","nofollow":true},{"id":5398,"name":"Biotechnology","url":"https://www.academia.edu/Documents/in/Biotechnology?f_ri=3424"},{"id":7466,"name":"Human Development","url":"https://www.academia.edu/Documents/in/Human_Development?f_ri=3424"},{"id":15738,"name":"Biomedical informatics","url":"https://www.academia.edu/Documents/in/Biomedical_informatics?f_ri=3424"},{"id":45090,"name":"Database Management Systems","url":"https://www.academia.edu/Documents/in/Database_Management_Systems?f_ri=3424"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=3424"},{"id":66379,"name":"Automation","url":"https://www.academia.edu/Documents/in/Automation?f_ri=3424"},{"id":235574,"name":"Model development","url":"https://www.academia.edu/Documents/in/Model_development?f_ri=3424"},{"id":255094,"name":"Computer User Interface Design","url":"https://www.academia.edu/Documents/in/Computer_User_Interface_Design?f_ri=3424"},{"id":255453,"name":"Information Storage and Retrieval","url":"https://www.academia.edu/Documents/in/Information_Storage_and_Retrieval?f_ri=3424"},{"id":459378,"name":"Very high throughput","url":"https://www.academia.edu/Documents/in/Very_high_throughput?f_ri=3424"},{"id":874382,"name":"Medical Records","url":"https://www.academia.edu/Documents/in/Medical_Records?f_ri=3424"},{"id":1673937,"name":"Visualization Technique","url":"https://www.academia.edu/Documents/in/Visualization_Technique?f_ri=3424"},{"id":3763225,"name":"Medical and Health Sciences","url":"https://www.academia.edu/Documents/in/Medical_and_Health_Sciences?f_ri=3424"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_8249329" data-work_id="8249329" 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/8249329/Visualization_of_Team_Skills_in_Project_Based_Learning">Visualization of Team Skills in Project-Based 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">In order to improve the effects of project-based learning (PBL), the author developed a visual tool that supports team organization by visually representing the personal skills data of team members. In a PBL activity performed... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_8249329" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In  order  to  improve  the  effects  of  project-based <br />learning (PBL), the author developed a visual tool that <br />supports team organization by visually representing the <br />personal skills data of team members. In a PBL activity<br />performed  by  student  teams, the organization  of  the <br />teams gives  rise  to unexpected  variations in level  of <br />learning. However, organizing appropriate teams is not <br />so  easy.  The  tool  developed  by  the  author  visualizes <br />the  skills  data  of  persons  and  teams  in  several <br />representations. It makes it easy to identify the features <br />of teams and their members, and helps eliminate trialand-error  in  the  process  of  organizing  teams.  The <br />author also  evaluated the adequateness  of  past  team <br />organization by using actual skills data.</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/8249329" 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="aea3f34f7e4c59787aea513b91f08433" rel="nofollow" data-download="{"attachment_id":34670061,"asset_id":8249329,"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/34670061/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="2657630" href="https://sdiwc.academia.edu/TheSocietyofDigitalInformationandWirelessCommunications">SDIWC Organization</a><script data-card-contents-for-user="2657630" type="text/json">{"id":2657630,"first_name":"SDIWC","last_name":"Organization","domain_name":"sdiwc","page_name":"TheSocietyofDigitalInformationandWirelessCommunications","display_name":"SDIWC Organization","profile_url":"https://sdiwc.academia.edu/TheSocietyofDigitalInformationandWirelessCommunications?f_ri=3424","photo":"https://0.academia-photos.com/2657630/849179/1055710/s65_natalie.walker.jpg"}</script></span></span></li><li class="js-paper-rank-work_8249329 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="8249329"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 8249329, container: ".js-paper-rank-work_8249329", }); 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$(".js-view-count[data-work-id=8249329]").text(description); $(".js-view-count-work_8249329").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_8249329").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="8249329"><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="3424" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Visualization">Information Visualization</a>, <script data-card-contents-for-ri="3424" type="text/json">{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="26144" rel="nofollow" href="https://www.academia.edu/Documents/in/Project-Based_Learning">Project-Based Learning</a>, <script data-card-contents-for-ri="26144" type="text/json">{"id":26144,"name":"Project-Based Learning","url":"https://www.academia.edu/Documents/in/Project-Based_Learning?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="714262" rel="nofollow" href="https://www.academia.edu/Documents/in/Software_Development_Teams">Software Development Teams</a>, <script data-card-contents-for-ri="714262" type="text/json">{"id":714262,"name":"Software Development Teams","url":"https://www.academia.edu/Documents/in/Software_Development_Teams?f_ri=3424","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1542205" rel="nofollow" href="https://www.academia.edu/Documents/in/Mosaic_Plot">Mosaic Plot</a><script data-card-contents-for-ri="1542205" type="text/json">{"id":1542205,"name":"Mosaic Plot","url":"https://www.academia.edu/Documents/in/Mosaic_Plot?f_ri=3424","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=8249329]'), work: {"id":8249329,"title":"Visualization of Team Skills in Project-Based Learning","created_at":"2014-09-08T18:24:07.773-07:00","url":"https://www.academia.edu/8249329/Visualization_of_Team_Skills_in_Project_Based_Learning?f_ri=3424","dom_id":"work_8249329","summary":"In order to improve the effects of project-based \nlearning (PBL), the author developed a visual tool that \nsupports team organization by visually representing the \npersonal skills data of team members. In a PBL activity\nperformed by student teams, the organization of the \nteams gives rise to unexpected variations in level of \nlearning. However, organizing appropriate teams is not \nso easy. The tool developed by the author visualizes \nthe skills data of persons and teams in several \nrepresentations. It makes it easy to identify the features \nof teams and their members, and helps eliminate trialand-error in the process of organizing teams. The \nauthor also evaluated the adequateness of past team \norganization by using actual skills data.","downloadable_attachments":[{"id":34670061,"asset_id":8249329,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2657630,"first_name":"SDIWC","last_name":"Organization","domain_name":"sdiwc","page_name":"TheSocietyofDigitalInformationandWirelessCommunications","display_name":"SDIWC Organization","profile_url":"https://sdiwc.academia.edu/TheSocietyofDigitalInformationandWirelessCommunications?f_ri=3424","photo":"https://0.academia-photos.com/2657630/849179/1055710/s65_natalie.walker.jpg"}],"research_interests":[{"id":3424,"name":"Information Visualization","url":"https://www.academia.edu/Documents/in/Information_Visualization?f_ri=3424","nofollow":true},{"id":26144,"name":"Project-Based Learning","url":"https://www.academia.edu/Documents/in/Project-Based_Learning?f_ri=3424","nofollow":true},{"id":714262,"name":"Software Development Teams","url":"https://www.academia.edu/Documents/in/Software_Development_Teams?f_ri=3424","nofollow":true},{"id":1542205,"name":"Mosaic Plot","url":"https://www.academia.edu/Documents/in/Mosaic_Plot?f_ri=3424","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_45932710" data-work_id="45932710" 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/45932710/Data_Smoothing_in_Data_Science_Visualization_The_Goldilocks_Trio_A_gentle_journey_into_LOWESS_and_B_spline_with_reasons_why">Data Smoothing in Data Science Visualization (The Goldilocks Trio) A gentle journey into LOWESS and B-spline with reasons why</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized"><a href="https://towardsdatascience.com/data-smoothing-for-data-science-visualization-the-goldilocks-trio-part-1-867765050615" rel="nofollow">https://towardsdatascience.com/data-smoothing-for-data-science-visualization-the-goldilocks-trio-part-1-867765050615</a> Making peace with piecewise. We've all heard that information is beautiful. But then life happens, and we find... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_45932710" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden"><a href="https://towardsdatascience.com/data-smoothing-for-data-science-visualization-the-goldilocks-trio-part-1-867765050615" rel="nofollow">https://towardsdatascience.com/data-smoothing-for-data-science-visualization-the-goldilocks-trio-part-1-867765050615</a> <br /> <br />Making peace with piecewise. We've all heard that information is beautiful. But then life happens, and we find ourselves trying to prettify the mess that often is reality…</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/45932710" 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="25f2e98d3bfa5388932cc0792b3ec7b4" rel="nofollow" data-download="{"attachment_id":66207871,"asset_id":45932710,"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/66207871/download_file?st=MTc0MDU0MDI2OCw4LjIyMi4yMDguMTQ2&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="279897" href="https://columbia.academia.edu/JoshuaMailman">Joshua B Mailman</a><script data-card-contents-for-user="279897" type="text/json">{"id":279897,"first_name":"Joshua","last_name":"Mailman","domain_name":"columbia","page_name":"JoshuaMailman","display_name":"Joshua B Mailman","profile_url":"https://columbia.academia.edu/JoshuaMailman?f_ri=3424","photo":"https://0.academia-photos.com/279897/54429/50176/s65_joshua_b..mailman.jpg"}</script></span></span></li><li class="js-paper-rank-work_45932710 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="45932710"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 45932710, container: ".js-paper-rank-work_45932710", }); 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