Why Did the Robot Cross the Road? A User Study of Explanation in Human-Robot Interaction
arXiv:2012.00078v1
AI Analysis
This work aims to improve human understanding of AI in human-robot interaction by applying social science principles to explanation design.
This study evaluates contrastive, causal, and example explanations for AI in a hypothetical human-robot interaction scenario. It suggests that explanations informed by social sciences improve HRI.
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.