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name="searchtype"><option value="all">All fields</option><option value="title">Title</option><option selected value="author">Author(s)</option><option value="abstract">Abstract</option><option value="comments">Comments</option><option value="journal_ref">Journal reference</option><option value="acm_class">ACM classification</option><option value="msc_class">MSC classification</option><option value="report_num">Report number</option><option value="paper_id">arXiv identifier</option><option value="doi">DOI</option><option value="orcid">ORCID</option><option value="license">License (URI)</option><option value="author_id">arXiv author ID</option><option value="help">Help pages</option><option value="full_text">Full text</option></select> <input id="query" name="query" type="text" value="Bucini, G"> <ul id="abstracts"><li><input checked id="abstracts-0" name="abstracts" type="radio" value="show"> <label for="abstracts-0">Show abstracts</label></li><li><input id="abstracts-1" 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is-small is-link">Go</button> </div> </div> </form> </div> </div> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2305.16600">arXiv:2305.16600</a> <span> [<a href="https://arxiv.org/pdf/2305.16600">pdf</a>, <a href="https://arxiv.org/format/2305.16600">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computers and Society">cs.CY</span> </div> </div> <p class="title is-5 mathjax"> Temporal Evolution of Risk Behavior in a Disease Spread Simulation </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Langle-Chimal%2C+O+D">Ollin D. Langle-Chimal</a>, <a href="/search/cs?searchtype=author&query=Merrill%2C+S+C">Scott C. Merrill</a>, <a href="/search/cs?searchtype=author&query=Clark%2C+E+M">Eric M. Clark</a>, <a href="/search/cs?searchtype=author&query=Bucini%2C+G">Gabriela Bucini</a>, <a href="/search/cs?searchtype=author&query=Liu%2C+T">Tung-Lin Liu</a>, <a href="/search/cs?searchtype=author&query=Shrum%2C+T+R">Trisha R. Shrum</a>, <a href="/search/cs?searchtype=author&query=Koliba%2C+C">Christopher Koliba</a>, <a href="/search/cs?searchtype=author&query=Zia%2C+A">Asim Zia</a>, <a href="/search/cs?searchtype=author&query=Smith%2C+J+M">Julia M. Smith</a>, <a href="/search/cs?searchtype=author&query=Cheney%2C+N">Nicholas Cheney</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2305.16600v2-abstract-short" style="display: inline;"> Human behavior is a dynamic process that evolves with experience. Understanding the evolution of individual's risk propensity is critical to design public health interventions to propitiate the adoption of better biosecurity protocols and thus, prevent the transmission of an infectious disease. Using an experimental game that simulates the spread of a disease in a network of porcine farms, we meas… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2305.16600v2-abstract-full').style.display = 'inline'; document.getElementById('2305.16600v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2305.16600v2-abstract-full" style="display: none;"> Human behavior is a dynamic process that evolves with experience. Understanding the evolution of individual's risk propensity is critical to design public health interventions to propitiate the adoption of better biosecurity protocols and thus, prevent the transmission of an infectious disease. Using an experimental game that simulates the spread of a disease in a network of porcine farms, we measure how learning from experience affects the risk aversion of over $1000$ players. We used a fully automated approach to segment the players into 4 categories based on the temporal trends of their game plays and compare the outcomes of their overall game performance. We found that the risk tolerant group is $50\%$ more likely to incur an infection than the risk averse one. We also find that while all individuals decrease the amount of time it takes to make decisions as they become more experienced at the game, we find a group of players with constant decision strategies who rapidly decrease their time to make a decision and a second context-aware decision group that contemplates longer before decisions while presumably performing a real-time risk assessment. The behavioral strategies employed by players in this simulated setting could be used in the future as an early warning signal to identify undesirable biosecurity-related risk aversion preferences, or changes in behavior, which may allow for targeted interventions to help mitigate them. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2305.16600v2-abstract-full').style.display = 'none'; document.getElementById('2305.16600v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 1 June, 2023; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 25 May, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> May 2023. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">12 pages, 1 table, 7 figures</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">MSC Class:</span> ACM-class: F.2.2; I.2.7 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1910.12978">arXiv:1910.12978</a> <span> [<a href="https://arxiv.org/pdf/1910.12978">pdf</a>, <a href="https://arxiv.org/format/1910.12978">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computers and Society">cs.CY</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.3389/fvets.2020.00130">10.3389/fvets.2020.00130 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Effects of Social Cues on Biosecurity Compliance in Livestock Facilities: Evidence from Experimental Simulations </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Trinity%2C+L">Luke Trinity</a>, <a href="/search/cs?searchtype=author&query=Merrill%2C+S+C">Scott C. Merrill</a>, <a href="/search/cs?searchtype=author&query=Clark%2C+E">Eric Clark</a>, <a href="/search/cs?searchtype=author&query=Koliba%2C+C+J">Christopher J. Koliba</a>, <a href="/search/cs?searchtype=author&query=Zia%2C+A">Asim Zia</a>, <a href="/search/cs?searchtype=author&query=Bucini%2C+G">Gabriela Bucini</a>, <a href="/search/cs?searchtype=author&query=Smith%2C+J+M">Julia M. Smith</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1910.12978v1-abstract-short" style="display: inline;"> Disease outbreaks in U.S. animal livestock industries have economic impacts measured in hundreds of millions of dollars per year. Biosecurity, or procedures intended to protect animals against disease, is known to be effective at reducing infection risk at facilities. Yet to the detriment of animal health, humans do not always follow biosecurity protocols. Human behavioral factors have been shown… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1910.12978v1-abstract-full').style.display = 'inline'; document.getElementById('1910.12978v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1910.12978v1-abstract-full" style="display: none;"> Disease outbreaks in U.S. animal livestock industries have economic impacts measured in hundreds of millions of dollars per year. Biosecurity, or procedures intended to protect animals against disease, is known to be effective at reducing infection risk at facilities. Yet to the detriment of animal health, humans do not always follow biosecurity protocols. Human behavioral factors have been shown to influence willingness to follow biosecurity protocols. Here we show how social cues may affect cooperation with a biosecurity practice. Participants were immersed in a simulated swine production facility through a graphical user interface and prompted to make a decision that addressed their willingness to comply with a biosecurity practice. We tested the effect of varying three experimental variables: (1) the risk of acquiring an infection, (2) the delivery method of the infection risk information (numerical versus graphical), and (3) behavior of an automated coworker in the facility. We provide evidence that participants changed their behavior when they observed a simulated worker making a choice to follow or not follow a biosecurity protocol, even though the simulated worker had no economic effect on the participants' payouts. These results advance the understanding of human behavioral effects on biosecurity protocol decisions; demonstrating that social cues need to be considered by livestock facility managers when developing policies to make agricultural systems more disease resilient. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1910.12978v1-abstract-full').style.display = 'none'; document.getElementById('1910.12978v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 28 October, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2019. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">30 pages, 4 figures, 6 tables</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1909.12905">arXiv:1909.12905</a> <span> [<a href="https://arxiv.org/pdf/1909.12905">pdf</a>, <a href="https://arxiv.org/format/1909.12905">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computers and Society">cs.CY</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1371/journal.pone.0228983">10.1371/journal.pone.0228983 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Using Digital Field Experiments To Elicit Risk Mitigation Behavioral Strategies For Disease Management Across Agricultural Production Systems </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Clark%2C+E+M">Eric M. Clark</a>, <a href="/search/cs?searchtype=author&query=Merrill%2C+S+C">Scott C. Merrill</a>, <a href="/search/cs?searchtype=author&query=Trinity%2C+L">Luke Trinity</a>, <a href="/search/cs?searchtype=author&query=Bucini%2C+G">Gabriela Bucini</a>, <a href="/search/cs?searchtype=author&query=Cheney%2C+N">Nicholas Cheney</a>, <a href="/search/cs?searchtype=author&query=Langle-Chimal%2C+O">Ollin Langle-Chimal</a>, <a href="/search/cs?searchtype=author&query=Shrum%2C+T">Trisha Shrum</a>, <a href="/search/cs?searchtype=author&query=Koliba%2C+C">Christopher Koliba</a>, <a href="/search/cs?searchtype=author&query=Zia%2C+A">Asim Zia</a>, <a href="/search/cs?searchtype=author&query=Smith%2C+J+M">Julia M. Smith</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1909.12905v2-abstract-short" style="display: inline;"> Failing to mitigate propagation of disease spread can result in dire economic consequences for agricultural networks. Pathogens like Porcine Epidemic Diarrhea virus, can quickly spread among producers. Biosecurity is designed to prevent infection transmission. When considering biosecurity investments, management must balance the cost of protection versus the consequences of contracting an infectio… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1909.12905v2-abstract-full').style.display = 'inline'; document.getElementById('1909.12905v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1909.12905v2-abstract-full" style="display: none;"> Failing to mitigate propagation of disease spread can result in dire economic consequences for agricultural networks. Pathogens like Porcine Epidemic Diarrhea virus, can quickly spread among producers. Biosecurity is designed to prevent infection transmission. When considering biosecurity investments, management must balance the cost of protection versus the consequences of contracting an infection. Thus, an examination of the decision making processes associated with investment in biosecurity is important for enhancing system wide biosecurity. Data gathered from digital field experiments can provide insights into behavioral strategies and inform the development of decision support systems. We created an online digital experiment to simulate outbreak scenarios among swine production supply chains, where participants were tasked with making biosecurity investment decisions. In Experiment One, we quantified the risk associated with each participant's decisions and delineated three dominant categories of risk attitudes: risk averse, risk tolerant, and opportunistic. Each risk class exhibited unique approaches in reaction to risk and disease information. We also tested how information uncertainty affects risk aversion, by varying the amount of visibility of the infection as well as the amount of biosecurity implemented across the system. We found evidence that more visibility in the number of infected sites increases risk averse behaviors, while more visibility in the amount of neighboring biosecurity increased risk taking behaviors. In Experiment Two, we were surprised to find no evidence for differences in behavior of livestock specialists compared to Amazon Mechanical Turk participants. Our findings provide support for using digital field experiments to study how risk communication affects behavior, which can provide insights towards more effective messaging strategies. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1909.12905v2-abstract-full').style.display = 'none'; document.getElementById('1909.12905v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 1 October, 2019; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 20 September, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2019. </p> </li> </ol> <div class="is-hidden-tablet">  <span class="help" style="display: inline-block;"><a href="https://github.com/arXiv/arxiv-search/releases">Search v0.5.6 released 2020-02-24</a>  </span> </div> </div> </main> <footer> <div class="columns 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