Papers
1
Total Citations
2
H-Index
1
About
Hee-Yun Ku is a researcher focused on human-robot interaction, particularly the design and social integration of service robots in domestic environments. Her work addresses a critical gap in robotics: how to facilitate meaningful social interaction with robots that lack expressive facial features. In her most cited study, she systematically investigated the effect of different interaction modalities—such as voice, touch, and visual cues—on user engagement with facial-constrained robots. This research provides foundational insights for designing more intuitive and socially acceptable home robots, bridging the gap between functional automation and user-friendly communication. Although her citation count remains modest, her contributions are significant for the emerging field of socially assistive robotics, where user experience is paramount. By exploring how people naturally interact with non-expressive machines, Ku’s work informs the development of robots that can better integrate into everyday life, making technology more accessible and less intimidating for non-expert users. Her research is particularly valuable for students and engineers aiming to create robots that are not only functional but also socially competent.
Research Focus
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Top Papers
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