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X-LIC-LOCATION:America/Chicago
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TZNAME:CDT
DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20251016T135200Z
LOCATION:Grand B
DTSTART;TZID=America/Chicago:20251014T154000
DTEND;TZID=America/Chicago:20251014T160000
UID:HFESAM_ASPIRE 2025_sess203_LECT457@linklings.com
SUMMARY:The Influence of Performance Feedback on Trust and Self-Confidence
  in Dynamically Reliable Automation
DESCRIPTION:Christopher Holland and Heather Neyedli (Dalhousie University)
 \n\nThis study examines how performance feedback influences trust and self
 -confidence during interactions with dynamically reliable automation. Trus
 t and self-confidence are critical components of human-automation collabor
 ation: trust governs reliance decisions, while self-confidence affects how
  individuals integrate automation into their decision-making processes. In
  this experiment, eighty participants engaged with an automated assistant 
 whose reliability fluctuated across tasks. Participants received performan
 ce feedback throughout the interaction. Contrary to expectations, trust an
 d self-confidence remained stable, showing little sensitivity to changes i
 n reliability or feedback. However, when considered alongside previous res
 earch, the results suggest that performance feedback may moderate variabil
 ity in trust, stabilizing perceptions of automation over time. While such 
 stabilization could help maintain consistent human-automation teaming, it 
 also raises concerns about the potential for complacency and overconfidenc
 e when users receive positive feedback regardless of system performance. F
 uture research should investigate individual differences in trust calibrat
 ion, as well as the roles of situational awareness and prior experience wi
 th automation. Understanding the complex interplay between feedback, trust
 , and self-confidence is essential for developing systems that promote cal
 ibrated trust, prevent misuse or disuse of automation, and optimize overal
 l team performance in dynamic operational environments.\n\nTrack: Human AI
  Robot Teaming (AI)\n\nSession Chair: Eileen Roesler (George Mason Univers
 ity)\n\n
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