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DTSTAMP:20251016T135139Z
LOCATION:Grand B
DTSTART;TZID=America/Chicago:20251015T121000
DTEND;TZID=America/Chicago:20251015T123000
UID:HFESAM_ASPIRE 2025_sess208_LECT332@linklings.com
SUMMARY:Group Dynamics in AI Trust Formation: Modeling Attitudinal and Beh
 avioral Trust in Team Decision-Making
DESCRIPTION:Jane Lee, Jaehoo Bae, Myunghwan Yun, Eunseo Ryu, Honghua Lyu, 
 and Dain Kim (Seoul National University) and John Zimmerman (Carnegie Mell
 on University)\n\nThe increasing integration of Artificial Intelligence (A
 I) into team-based decision environments necessitates an examination of tr
 ust formation that extends beyond the individual user. This context introd
 uces complexities stemming from interpersonal dynamics, heterogeneous indi
 vidual trust levels, and collective decision processes.   \nThis study inv
 estigates how group decision-making processes change AI trust dynamics com
 pared to individual settings. We aimed to develop a theoretical framework 
 capturing these multilayered trust dynamics using structural equation mode
 ling.\nWe employed Körber's Trust in Automation (TiA) scale pre- and post-
 task. 51 participants in 16 teams performed a collaborative decision-makin
 g exercise (NASA moon survival) using ChatGPT. Structural equation modelin
 g (SEM) was used for analysis.\nGroup trust formation patterns significant
 ly diverged from individual contexts. Attitudinal trust, strongly influenc
 ed by collective perceptions of AI performance and reliability, was the pr
 imary predictor of overall group trust, outweighing behavioral trust (actu
 al usage). Factors like understanding/predictability showed no significant
  influence in group settings.\nGroup-level dynamics fundamentally alter AI
  trust formation, challenging individual-centric views. Practical implicat
 ions include the need for trust-building strategies focused on collective 
 perceptions and experiences. The findings underscore the need for new theo
 retical models and group-specific trust measurement tools.\n\nTrack: Cogni
 tive Engineering & Decision Making, Human AI Robot Teaming (AI)\n\nSession
  Chairs: Aakash Yadav (University of Wisconsin - Madison) and Nandhini Man
 ikandan (Texas A&M University)\n\n
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