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DTSTAMP:20251016T135220Z
LOCATION:Grand A
DTSTART;TZID=America/Chicago:20251015T150000
DTEND;TZID=America/Chicago:20251015T160000
UID:HFESAM_ASPIRE 2025_sess220@linklings.com
SUMMARY:CEDM7:  Supporting Adaptive Human Teamwork
DESCRIPTION:Different Methods of Team Adaptation in Response to Uncertaint
 y\n\nTeams operating in high-stakes environments must adapt to various sou
 rces of uncertainty, including disruptions introduced by teammates. This s
 tudy examined how three-member teams operating a simulated UAV manage unce
 rtainty caused by a teammate providing incorrect information, wherein one 
 confedera...\n\n\nShiwen Zhou (Arizona State University; Center for Human,
  Artificial Intelligence, and Robot Teaming); David Grimm (Georgia Institu
 te of Technology, Arizona State University); Aaron Teo and Rezvan Yousefi 
 (Arizona State University); and Jamie Gorman (Arizona State University; Ce
 nter for Human, Artificial Intelligence, and Robot Teaming)\n-------------
 --------\nCan We See Team Situation Awareness? Predicting and Classifying 
 Team SA Using Eye Tracking and Machine Learning\n\nTeam Situation Awarenes
 s (TSA) is critical for effective decision-making in complex domains, but 
 it is difficult to measure and predict in real time. This study explores w
 hether overall TSA and its three levels (i.e., perception, comprehension, 
 and projection) can be predicted and classified using m...\n\n\nJad Atweh 
 (University of Virginia, University of Florida) and Sara Riggs (University
  of Virginia)\n---------------------\nFrom Disruptions to Decisions: The R
 ole of User-Controlled Gaze Sharing in Team Interruption Recovery Across T
 ask Complexities\n\nInterruptions can disrupt coordination and reduce deci
 sion accuracy in complex systems. Recovery from interruptions is often aff
 ected by the difficulty of the task at hand, making it critical to design 
 support tools to support users. One such tool is gaze sharing—visualizing 
 a teammate’s...\n\n\nJad Atweh (University of Virginia, University of Flor
 ida) and Sara Riggs (University of Virginia)\n\nTrack: Cognitive Engineeri
 ng & Decision Making, Human AI Robot Teaming (AI)\n\nSession Chairs: Chang
 won Son (Texas Tech University) and Ekim Koca (University of Virginia)
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