{"678815":{"#nid":"678815","#data":{"type":"event","title":"PhD Proposal by Richard Agbeyibor","body":[{"value":"\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ERichard Agbeyibor\u003C\/strong\u003E\u003Cbr\u003E\u003Cem\u003E(Advisor: Prof. Karen Feigh]\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003Ewill propose a doctoral thesis entitled,\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EHuman-AI Collaboration Aboard Crewed Autonomous Intelligence, Surveillance, and Reconnaissance Aircraft\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EOn\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWednesday, December 11 at 2:30 p.m.\u0026nbsp;\u003C\/strong\u003E\u003Cbr\u003E\u003Cstrong\u003E\u0026nbsp;Montgomery Knight Building 317\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003Eand\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_YTA2NDNmZDctNDU5Ny00MjEzLWE5YjctMGY1NzcxYWM4YmIx%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%22dedfb8bd-a91b-4d12-a35a-2723a25876a8%22%7d\u0022 title=\u0022https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_YTA2NDNmZDctNDU5Ny00MjEzLWE5YjctMGY1NzcxYWM4YmIx%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%22dedfb8bd-a91b-4d12-a35a-2723a25876a8%22%7d\u0022\u003E\u003Cstrong\u003EMicrosoft Teams\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003Cbr\u003EWith the maturity of autonomy and Advanced Air Mobility aircraft (AAM), it may soon be feasible to use autonomous aircraft for specialized aviation missions. This research is among the first to explore human-AI collaboration aboard crewed autonomous Intelligence, Surveillance, and Reconnaissance (ISR) aircraft. Using flight simulator studies, it empirically evaluates the challenges to fluency \u2014 defined through trust, workload, situation awareness and interaction \u2014 in teams of non-pilot humans and AI Pilots collaborating on ISR missions.\u0026nbsp; The first phase of this research examined how task complexity and various AI Pilot capabilities influence mission performance and team fluency. Results to date indicate that a predictable range of safety and mission efficiency can be assured through run-time assurance. Although Control Barrier Function-enabled run-time assurance improved safety, it increased mission duration. Building on these findings, the proposed work seeks to mitigate this time-safety tradeoff by using the attention state of the human operator as a feedback signal for an adaptive AI Pilot. Additionally, it explores methods for real-time estimation of operator cognitive state. Finally, the proposed work extends this research to multi-aircraft collaborative ISR contexts and explores the role of operator background and experience in human-AI collaboration. This thesis contributes to the safe and efficient integration of human-AI teams in autonomous ISR missions, with broader implications for the future of autonomy and advanced air mobility,\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EProf. Karen M. Feigh \u2013 School of Aerospace Engineering (advisor)\u003C\/li\u003E\u003Cli\u003EProf. Samuel Coogan \u2013 School of Electrical and Computer Engineering\u003C\/li\u003E\u003Cli\u003EProf. Kyriakos Vamvoudakis\u2013 School of Aerospace Engineering\u003C\/li\u003E\u003Cli\u003EProf. Mengyao Li \u2013 School of Psychology\u003C\/li\u003E\u003Cli\u003EDr. Joseph B. Lyons \u2013 Air Force Research Laboratory\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDr. Samuel Coogan - School of Electrical and Computer Engineering, Georgia Institute of Technology,\u003C\/p\u003E\u003Cp\u003EDr. Kyriakos Vamvoudakis - School of Aerospace Engineering, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Mengyao Li - School of Psychology, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Joseph B. Lyons - 711th Human Performance Wing, Air Force Research Laboratory\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EWith the maturity of autonomy and Advanced Air Mobility aircraft (AAM), it may soon be feasible to use autonomous aircraft for specialized aviation missions. This research is among the first to explore human-AI collaboration aboard crewed autonomous Intelligence, Surveillance, and Reconnaissance (ISR) aircraft. Using flight simulator studies, it empirically evaluates the challenges to fluency \u2014 defined through trust, workload, situation awareness and interaction \u2014 in teams of non-pilot humans and AI Pilots collaborating on ISR missions.\u0026nbsp; The first phase of this research examined how task complexity and various AI Pilot capabilities influence mission performance and team fluency. Results to date indicate that a predictable range of safety and mission efficiency can be assured through run-time assurance. Although Control Barrier Function-enabled run-time assurance improved safety, it increased mission duration. Building on these findings, the proposed work seeks to mitigate this time-safety tradeoff by using the attention state of the human operator as a feedback signal for an adaptive AI Pilot. Additionally, it explores methods for real-time estimation of operator cognitive state. Finally, the proposed work extends this research to multi-aircraft collaborative ISR contexts and explores the role of operator background and experience in human-AI collaboration. This dissertation contributes to the safe and efficient integration of human-AI teams in autonomous ISR missions, with broader implications for the future of autonomy and advanced air mobility.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EHuman-AI Collaboration Aboard Crewed Autonomous Intelligence, Surveillance, and Reconnaissance Aircraft\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Human-AI Collaboration Aboard Crewed Autonomous Intelligence, Surveillance, and Reconnaissance Aircraft "}],"uid":"27707","created_gmt":"2024-12-10 20:27:47","changed_gmt":"2024-12-10 20:28:18","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-12-11T14:30:20-05:00","event_time_end":"2024-12-11T16:30:20-05:00","event_time_end_last":"2024-12-11T16:30:20-05:00","gmt_time_start":"2024-12-11 19:30:20","gmt_time_end":"2024-12-11 21:30:20","gmt_time_end_last":"2024-12-11 21:30:20","rrule":null,"timezone":"America\/New_York"},"location":" Montgomery Knight Building 317","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}