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DTSTAMP:20251016T135131Z
LOCATION:Riverside East
DTSTART;TZID=America/Chicago:20251015T173000
DTEND;TZID=America/Chicago:20251015T183000
UID:HFESAM_ASPIRE 2025_sess138_POST176@linklings.com
SUMMARY:Modeling Adaptive Autonomy at the Team Level: Understanding Team-W
 ide Autonomy and its Impact on Situation Awareness in Human-Autonomy Teams
DESCRIPTION:Han Nguyen, Yunhao Wang, Kwame Andre, Wen Duan, Christopher Fl
 athmann, and Nathan McNeese (Clemson University)\n\nHuman-autonomy teams (
 HATs) are increasingly used in high-stakes environments and depend on main
 taining strong situational awareness (SA) across human and AI agents to op
 erate effectively under changing conditions. However, current systems ofte
 n use fixed levels of autonomy, which can either overwhelm human operators
  or reduce their engagement, which degrades SA and overall team performanc
 e. In response, we propose a conceptual model for adaptive autonomy at the
  team level that dynamically adjusts control distribution between human an
 d AI agents. Using collective team autonomy, the model shifts control base
 d on shared SA and environmental complexity, ensuring the right agent take
 s the lead when conditions change. It requires humans and AI to contribute
  to team SA and continuously recalibrates autonomy to balance human adapta
 bility with AI efficiency. The model contributes a new way of viewing auto
 nomy as a dynamic, team-shared resource rather than a fixed setting. This 
 approach supports the development of safer and more resilient human-AI tea
 ms that can perform reliably in unpredictable, high-risk environments. Our
  model offers guidance for building systems that keep both humans and AI e
 ngaged and aware when it matters most.\n\n
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