Effects of blame on trust in human robot interaction

Abstract

Trust in automation is a crucial ingredient for successful human robot interaction. Both human related and robot related factors influence the user's trust on the robot and it is challenging to characterize each of these factors and study how they affect human trust. In this study we try to understand how blame attribution after an error impacts user trust. Three different robot personalities were implemented, each assigning blame to either of the user, the robot itself, or the human-robot team. Our study results confirm that blame attribution impacts human trust in robots.