2020/11/30 by Zachary Taschdjian, Taschdjian, Zachary
Computer Science · Engineering · Psychology · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial intelligence #Computer science #Context (archaeology) #Engineering #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Geography #Human science #Human-Computer Interaction (cs.HC) #Human–computer interaction #Human–robot interaction #Mobile robot #Psychology #Robot #Robot control #Robotics (cs.RO) #Social robot #Social science #Sociology #Work (physics) #cs.AI #cs.HC #cs.RO
paper · pdf · doi:10.48550/arxiv.2012.00078
openalex created_date 2020/11/09 · arxiv created 2020/11/30 · openalex publication_date 2020/11/30 · arxiv updated 2020/12/02 · openalex updated_date 2026/07/28
This work documents a pilot user study evaluating the effectiveness of contrastive, causal and example explanations in supporting human understanding of AI in a hypothetical commonplace human robot interaction HRI scenario. In doing so, this work situates explainable AI XAI in the context of the social sciences and suggests that HRI explanations are improved when informed by the social sciences.