ToM as XAI for Human-Robot Interaction

This paper proposes a novel perspective on Theory of Mind (ToM) in Human-Robot Interaction (HRI) by framing it as a form of Explainable AI (XAI). It highlights the importance of user-centered explanations and addresses a critical gap in current ToM applications, which often lack alignment between explanations and the robot's internal reasoning. The integration of ToM within XAI frameworks is presented as a way to prioritize user needs and improve the interpretability and predictability of robot actions.