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PRODID:Linklings LLC
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20251016T135149Z
LOCATION:Grand B
DTSTART;TZID=America/Chicago:20251014T152000
DTEND;TZID=America/Chicago:20251014T154000
UID:HFESAM_ASPIRE 2025_sess203_LECT633@linklings.com
SUMMARY:Quantifying Trust Alignment in Human-Autonomy-Teams: Insights from
  the Potts Model
DESCRIPTION:Morgan Klaeser, Vianney Renata, and John Lee (University of Wi
 sconsin - Madison)\n\nWe study trust alignment in human-autonomy teams (HA
 Ts) using rich naturalistic data from NASA’s HERA missions, capturing full
  team interaction dynamics over a six-week period.\n\nWe introduce an adap
 tation of the Potts model to quantify how coupling strength between teamma
 tes evolves across phases of automation reliability. This approach models 
 trust contagion as a dynamic, socially-driven process grounded in ecologic
 al experience.\n\nOur findings show that periods of low reliability amplif
 y trust contagion, with lasting effects on team alignment. We map componen
 ts of HATs where designers have meaningful degrees of freedom to shape tru
 st dynamics, providing new foundations for engineering resilient human-aut
 onomy systems.\n\nTrack: Human AI Robot Teaming (AI)\n\nSession Chair: Eil
 een Roesler (George Mason University)\n\n
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