Kalvin McCallum

Papers

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About

Kalvin McCallum is a rising researcher in human-robot interaction, with a particular focus on trust repair and social robotics. His work investigates how robots can mend broken trust after errors or failures, and his most-cited paper, "The Reason for an Apology Matters for Robot Trust Repair" (2022, 10 citations), reveals a critical insight: the effectiveness of a robot’s apology depends on the perceived reason behind its mistake. This finding challenges one-size-fits-all approaches to robot recovery and has implications for designing more socially intelligent autonomous systems. McCallum’s research bridges cognitive science and engineering, exploring how humans attribute intent to machines. Although early in his career, his work has already been recognized for its practical relevance to fields like service robotics and autonomous vehicles. By demonstrating that context-sensitive apologies can restore user confidence, McCallum is helping shape a future where robots are not just functional, but also socially graceful. His contributions are a valuable resource for students and researchers interested in the psychology of human-machine relationships.