Sum Yee Chan

Papers

Total Citations

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About

Sum Yee Chan is a pioneering researcher in human-robot interaction, with a particular focus on the social dynamics of desktop-size interactive robots. Her work explores how robot behavior and appearance shape human perception and social engagement, addressing a critical gap in the design of compact robotic systems used in caring, education, and entertainment. Her most-cited study, a pilot investigation into the factors of social attributes in desktop-size robots, lays foundational groundwork for understanding how these machines can be optimized for natural and effective interaction. While her citation count is still growing, Chan’s contributions are notable for their forward-looking approach to a rapidly expanding field. Her research has the potential to influence the next generation of socially aware robots, making them more intuitive and responsive in everyday settings. Chan’s work is especially relevant for students and researchers interested in the intersection of robotics, psychology, and design, offering insights into how even small robots can foster meaningful human connections.