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DTSTAMP:20251016T135129Z
LOCATION:Grand A
DTSTART;TZID=America/Chicago:20251015T135000
DTEND;TZID=America/Chicago:20251015T141000
UID:HFESAM_ASPIRE 2025_sess211_LECT679@linklings.com
SUMMARY:Trust Contagion in Team of Teams (ToT) for Human-Autonomy Teaming
DESCRIPTION:Xiaoyun Yin, Shiwen Zhou, Matthew Scalia, and Ray Hao (Arizona
  State University; Center for Human, Artificial Intelligence, and Robot Te
 aming); Wen Duan (Clemson University); Jessica Tuttle (University of Dayto
 n Research Institute); Nan Weng (Clemson University); Michael Tolston and 
 Gregory Funke (U.S. Air Force Research Laboratory); Guo Freeman and Nathan
  McNeese (Clemson University); and Jamie Gorman (Arizona State University;
  Center for Human, Artificial Intelligence, and Robot Teaming)\n\nWhile tr
 ust in human-autonomy teams (HATs) has been studied at the single-team lev
 el for years, the dynamics of trust spreading across multiple interconnect
 ed teams—known as Team of Teams (ToT)—remains underexplored. This study in
 vestigated how trust spreads between teams within a ToT structure. Using a
  remotely piloted aircraft system synthetic task environment, we studied 4
 0 HATs distributed across two universities: one human participant (photogr
 apher) and two confederates portraying a human navigator and an autonomous
  pilot teammate (using Wizard of Oz methodology) at each site. Teams were 
 paired into ToTs, with each team working simultaneously on a shared missio
 n involving photographing target waypoints. In one team, trust or distrust
  toward the autonomous pilot teammate was manipulated through both behavio
 ral (mismatched reported vs. actual UAV settings) and verbal trust/distrus
 t (explicit trust/distrust statements) spreading. Trust was measured using
  the Multi-Dimensional Measure of Trust (MDMT). Results showed significant
  differences in trust levels between teams, with both trust/distrust manip
 ulations effectively influencing the directly manipulated team and their p
 artner team. These findings extend our understanding of trust dynamics in 
 distributed team systems and provide insights for designing effective huma
 n-autonomy collaboration in interconnected team environments.\n\nTrack: Ae
 rospace Systems, Human AI Robot Teaming (AI)\n\nSession Chairs: Briana Sob
 el (Embry-Riddle Aeronautical University) and Xiaoyun Yin (Arizona State U
 niversity; Center for Human, Artificial Intelligence, and Robot Teaming)\n
 \n
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