H Kamran

Papers

Total Citations

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About

H Kamran is a rising scholar in human-robot interaction, with a focused research agenda on the role of explanations in building trust and facilitating seamless collaboration between humans and autonomous systems. Their most-cited work, "When Do People Want an Explanation from a Robot?" (2024, 19 citations), tackles a foundational question in explainable AI: identifying the specific interaction contexts that trigger a user's need for a robot to justify its actions. By moving beyond the assumption that explanations are always beneficial, Kamran’s research provides critical insights into designing more intuitive and socially aware robots that know *when* to speak, not just *what* to say. This contribution is particularly impactful for developing robots that operate in dynamic, real-world environments—from healthcare to manufacturing—where over-explaining can be as detrimental as under-explaining. Though early in their career, Kamran’s work is already shaping the conversation around user-centered explainability, offering a nuanced framework for future studies on trust calibration and adaptive communication in human-robot teams.