2021/10/07 by Qiaoning Zhang, X. Jessie Yang, Zhang, Qiaoning +3
Decision Sciences · Psychology · #Artificial Intelligence (cs.AI) #Decision-Making and Behavioral Economics #FOS: Computer and information sciences #Human-Automation Interaction and Safety #Human-Computer Interaction (cs.HC) #Robotics (cs.RO) #Team Dynamics and Performance
paper · pdf · doi:10.48550/arxiv.2110.03433
openalex publication_date 2021/10/07 · openalex created_date 2021/10/11 · openalex updated_date 2026/07/28
Automated vehicles (AVs) are social robots that can potentially benefit our society. According to the existing literature, AV explanations can promote passengers' trust by reducing the uncertainty associated with the AV's reasoning and actions. However, the literature on AV explanations and trust has failed to consider how the type of trust - cognitive versus affective - might alter this relationship. Yet, the existing literature has shown that the implications associated with trust vary widely depending on whether it is cognitive or affective. To address this shortcoming and better understand the impacts of explanations on trust in AVs, we designed a study to investigate the effectiveness of explanations on both cognitive and affective trust. We expect these results to be of great significance in designing AV explanations to promote AV trust.