Presentation
Explaining Trust Contagion in Human-Human-AI Teams: Convergence from Grounded Theory and Structural Topic Modeling
SessionPoster Session 1
DescriptionTrust contagion is the effect that humans have on each other’s trust attitude which can play a role in determining how human teams interact with AI teammates. While the effect of trust contagion is known, the potential mechanism for trust contagion in human/AI teams is unclear. We outlined how trust contagion spreads within human teams by manipulating the level of trust a confederate placed in an AI teammate and evaluating the dialogue between participants and the confederate. We combined both qualitative (Grounded Theory) and computational (Structural Topic Modeling) methods to identify team dynamics where high-trust confederate teams displayed efficient communication compared to low and neutral-trust confederate teams. These findings describe the behaviors associated with adopting a team member's trust attitude and demonstrate how a combination of qualitative and computational methods may be appropriate for understanding complex dynamics from converging methods.
Event Type
Poster
TimeTuesday, October 14th5:30pm - 6:30pm CDT
LocationRiverside East