{"641350":{"#nid":"641350","#data":{"type":"event","title":"MS Defense by David Grimm","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName:\u003C\/strong\u003E\u0026nbsp;\u003Cstrong\u003EDavid Grimm\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EMaster\u0026rsquo;s Thesis Defense Meeting\u003Cbr \/\u003E\r\nDate:\u003C\/strong\u003E\u0026nbsp; November 24, 2020\u003Cbr \/\u003E\r\n\u003Cstrong\u003ETime:\u003C\/strong\u003E\u0026nbsp; 10:00AM\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/us02web.zoom.us\/j\/85915191157\u0022\u003Ehttps:\/\/us02web.zoom.us\/j\/85915191157\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAdvisor:\u003C\/strong\u003E\u003Cbr \/\u003E\r\nJamie Gorman, Ph.D. (Georgia Tech)\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cstrong\u003EThesis Committee Members:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJamie Gorman, Ph.D. (Georgia Tech)\u003Cbr \/\u003E\r\nRichard Catrambone, Ph.D. (Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERick Thomas, Ph.D. (Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENancy Cooke, Ph.D. (Arizona State)\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cstrong\u003ETitle:\u0026nbsp;Dynamical Analysis and Modeling of Team Resilience in Human-Autonomy Teams\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA resilient team would be proficient at overcoming sudden, unexpected changes by displaying a rapid, adaptive response to maintain effectiveness. To quantify resilience, I analyzed data from two different experiments examining performance of human-autonomy teams (HATs) operating in a remotely piloted aircraft system (RPAS). Across both experiments, the HATs experienced\u0026nbsp; a variety of automation and autonomy failure perturbations using a Wizard of Oz paradigm. Team performance was measured by the successful completion of simulated reconnaissance missions, a mission level team performance score, a coordination-based target processing efficiency (TPE) score to quantify team efficiency, and a ground truth resilience score (GTRS) to measure how teams performed during and following a failure. Different layers, composed of vehicle, operator controls, communication, and overall system layers, of sociotechnical elements of the system were measured across RPAS missions. To measure resilience, I used entropy and a root mean squared error (RMSE) metric across all system layers. I used these measures to examine the time taken to achieve extreme values of reorganization during a failure and the novelty of the reorganization, respectively, to quantify resilience. I hypothesized that faster times to achieve extreme values of reorganization during a failure would be correlated with all performance measures. Across both experiments, I found negative correlations of time taken to achieve extreme values of reorganization and novelty of reorganization with team performance measured using TPE, and positive correlations while using GTRS. Additionally, I found that teams displayed more reorganization in response to failures, but this was not pronounced for effective teams. In Experiment 2, I also found differential effects of training in the communication and control layers. I hope that these results can help inform the measurement and training of resilience in HATs through targeted team training, feedback, and real-time analysis applications.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Dynamical Analysis and Modeling of Team Resilience in Human-Autonomy Teams"}],"uid":"27707","created_gmt":"2020-11-16 18:07:12","changed_gmt":"2020-11-16 18:07:12","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-11-24T10:00:00-05:00","event_time_end":"2020-11-24T12:00:00-05:00","event_time_end_last":"2020-11-24T12:00:00-05:00","gmt_time_start":"2020-11-24 15:00:00","gmt_time_end":"2020-11-24 17:00:00","gmt_time_end_last":"2020-11-24 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"111531","name":"ms defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}