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Poster D in Poster Session D: Wednesday, August 5, 2:00 – 3:45 pm, Kimmel Center, Shorin & Rosenthal Rooms

Using AI-generated videos to investigate the roles of attribution and impressions in clinical outcomes

Zizhuang Miao¹, Tor D. Wager¹; ¹Dartmouth College

Presenter: Zizhuang Miao

Characteristics of clinicians significantly influence patients’ trust, expectations, and therapeutic outcomes. However, the role of patients’ own attribution and impression formation processes in this relationship remains unclear. We investigated this by having participants interact with AI-generated videos of virtual clinicians that varied in demeanor, communication style, and helpfulness, and then assessing participants’ attributions and impressions. Results confirmed that overt clinician characteristics influenced participants’ trust. Critically, covert attributions and impressions explained more variance in trust and mediated the effects of clinician characteristics on trust. This study provides a framework for quantifying the computational mechanisms linking attribution to trust, and to downstream physiological and neural correlates.

Topic Area: Development, Individual Differences & Clinical Populations