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BEGIN:VEVENT
DTSTAMP:20251016T135147Z
LOCATION:Grand A
DTSTART;TZID=America/Chicago:20251015T133000
DTEND;TZID=America/Chicago:20251015T143000
UID:HFESAM_ASPIRE 2025_sess211@linklings.com
SUMMARY:HART9: Testing HART in Aerospace
DESCRIPTION:Trust Contagion in Team of Teams (ToT) for Human-Autonomy Team
 ing\n\nWhile trust in human-autonomy teams (HATs) has been studied at the 
 single-team level for years, the dynamics of trust spreading across multip
 le interconnected teams—known as Team of Teams (ToT)—remains underexplored
 . This study investigated how trust spreads between teams within a ToT st.
 ..\n\n\nXiaoyun Yin, Shiwen Zhou, Matthew Scalia, and Ray Hao (Arizona Sta
 te University; Center for Human, Artificial Intelligence, and Robot Teamin
 g); Wen Duan (Clemson University); Jessica Tuttle (University of Dayton Re
 search Institute); Nan Weng (Clemson University); Michael Tolston and Greg
 ory Funke (U.S. Air Force Research Laboratory); Guo Freeman and Nathan McN
 eese (Clemson University); and Jamie Gorman (Arizona State University; Cen
 ter for Human, Artificial Intelligence, and Robot Teaming)\n--------------
 -------\nHuman-AI Interaction Dynamics with Voice-Driven Autonomous Pilots
  in MEDEVAC Operations\n\nWhile autonomous systems advance, human involvem
 ent remains crucial in critical domains like medical evacuation, where pre
 cise human discernment is essential. In our study, we explored human-AI co
 llaboration between an AI Pilot (AP) and a medical professional in simulat
 ed MEDEVAC situations. We recr...\n\n\nSanya Doda, Richard Agbeyibor, Carm
 en Jimenez Cortes, Jack Kolb, Jose Magalhaes, and Karen Feigh (Georgia Ins
 titute of Technology)\n---------------------\nA Dynamic Trust and Distrust
  Influence Metric that Predicts Team Trustworthiness and Affective Trust i
 n Human Teams and Human-AI Teams\n\nThe study introduces influence as an i
 nformation-theoretic measure of trust and distrust spread based in dynamic
 al systems theory to capture the spread of trust and distrust in human-AI 
 teams over time. It utilizes average mutual information to determine the d
 egree to which joint team member actions...\n\n\nMatthew Scalia, Ray Hao, 
 Shiwen Zhou, and Xiaoyun Yin (Arizona State University; Center for Human, 
 Artificial Intelligence, and Robot Teaming); Wen Duan and Nan Weng (Clemso
 n University); Jessica Tuttle and Chloe Bell (University of Dayton Researc
 h Institute); Michael Tolston and Gregory Funke (U.S. Air Force Research L
 aboratory); Guo Freeman and Nathan McNeese (Clemson University); and Jamie
  Gorman (Arizona State University; Center for Human, Artificial Intelligen
 ce, and Robot Teaming)\n\nTrack: Aerospace Systems, Human AI Robot Teaming
  (AI)\n\nSession Chairs: Briana Sobel (Embry-Riddle Aeronautical Universit
 y) and Xiaoyun Yin (Arizona State University; Center for Human, Artificial
  Intelligence, and Robot Teaming)
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