Hin Chung Chan

Papers

Total Citations

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About

Hin Chung Chan is a pioneering researcher at the intersection of human-robot interaction, multi-agent systems, and social robotics. His work fundamentally explores how the interplay between machines—and between machines and humans—shapes perception and behavior in increasingly complex, emotion-laden social environments. Chan’s most cited paper, “Power Chess” (2021, 13 citations), introduces a novel experimental paradigm that captures the dynamics of robot-robot-human interaction, revealing how unconstrained emotional variables complicate communication in multi-agent systems. This contribution is pivotal for designing robots that can navigate real-world social contexts, where human responses are influenced not just by a single machine but by the relationships among multiple agents. Chan’s research is notable for bridging theoretical frameworks with tangible experimental designs, offering insights into how power dynamics and emotional cues emerge in human-machine teams. His work holds significant impact for the future of collaborative robotics, autonomous systems, and human-centered AI, making him a key voice in understanding the social dimensions of our increasingly interconnected technological world.