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DTSTART;TZID=America/New_York:20221013T142400
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UID:HFESAM_HFES 66th International Annual Meeting_sess176_LECT365@linkling
 s.com
SUMMARY:A Vision Inference Action Model For Shared Situational Awareness i
 n Autonomous Agents: Approaches, Challenges, & Future Directions
DESCRIPTION:Lecture\n\nA Vision Inference Action Model For Shared Situatio
 nal Awareness in Autonomous Agents: Approaches, Challenges, & Future Direc
 tions\n\nKing, Hough, Collins\n\nAlthough there has been a recent increase
  of research investment in Human Autonomy Teams (HATs), many significant t
 echnical challenges and research gaps persist. Specifically, recent report
 s indicate the need for shared situational awareness within HATs. Shared s
 ituational awareness is a necessary precursor for essential team mechanism
 s, such as communication, coordination, cooperation, cohesion, and trust. 
 Various modeling techniques have approached agent situational/shared aware
 ness; however, these approaches have been limited to simulation environmen
 ts. In order to achieve HATs in real-world contexts, agents will need to l
 everage autonomous perception (e.g., vision, audition, and task knowledge)
  to gain situational awareness of their environment and teammates. In this
  paper, we discuss approaches toward agent shared situational awareness, c
 hallenges/limitations, and review our efforts toward developing shared sit
 uational awareness within our Vision Inference Action (VIA) model and idea
 s for future research.\n\nTrack: Human AI Robot Teaming (HART), Human Perf
 ormance Modeling
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