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DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20251016T135217Z
LOCATION:Grand B
DTSTART;TZID=America/Chicago:20251014T150000
DTEND;TZID=America/Chicago:20251014T160000
UID:HFESAM_ASPIRE 2025_sess203@linklings.com
SUMMARY:HART4: Trust Modeling and Calibration
DESCRIPTION:Understanding Human-Agent Teaming: A Mixed-Methods Examination
  of Perceptions and Interactions\n\nWhile quantitative research on trust i
 n HATs is well-established, there is a gap in understanding individuals' s
 ubjective experiences during trust violations and repair. This study explo
 res how people perceive and respond to these events, guided by three key q
 uestions: (1) How do participants descri...\n\n\nValerie Tuccillo Robbins-
 Roth, Kendall Carmody, Bella DeLoach, Meredith Carroll, Amanda Thayer, and
  Jessica Wildman (Florida Institute of Technology)\n---------------------\
 nQuantifying Trust Alignment in Human-Autonomy-Teams: Insights from the Po
 tts Model\n\nWe study trust alignment in human-autonomy teams (HATs) using
  rich naturalistic data from NASA’s HERA missions, capturing full team int
 eraction dynamics over a six-week period.\n\nWe introduce an adaptation of
  the Potts model to quantify how coupling strength between teammates evolv
 es across pha...\n\n\nMorgan Klaeser, Vianney Renata, and John Lee (Univer
 sity of Wisconsin - Madison)\n---------------------\nThe Influence of Perf
 ormance Feedback on Trust and Self-Confidence in Dynamically Reliable Auto
 mation\n\nThis study examines how performance feedback influences trust an
 d self-confidence during interactions with dynamically reliable automation
 . Trust and self-confidence are critical components of human-automation co
 llaboration: trust governs reliance decisions, while self-confidence affec
 ts how individ...\n\n\nChristopher Holland and Heather Neyedli (Dalhousie 
 University)\n\nTrack: Human AI Robot Teaming (AI)\n\nSession Chair: Eileen
  Roesler (George Mason University)
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