Yunhwan Kwon
Papers
1
Total Citations
85
H-Index
1
About
Yunhwan Kwon is a leading researcher in human-robot interaction, with a focus on designing service robots that enhance decision-making in public and commercial settings. His work centers on the critical balance between robot proactivity and user autonomy, exploring how robots can offer timely assistance—such as product recommendations or navigation help—without overwhelming or alienating users. Kwon’s most-cited paper, “Design and Evaluation of Service Robot's Proactivity in Decision-Making Support Process” (2019, 85 citations), provides foundational insights into how proactive versus reactive robot behaviors shape user trust, satisfaction, and decision quality. This research has significant implications for the deployment of service robots in retail, hospitality, and public spaces, where effective human-robot collaboration is key. Kwon’s contributions are widely recognized for bridging engineering design with psychological and social factors, making his work essential reading for students and researchers interested in creating intuitive, user-centered robotic systems. His studies continue to influence how robots are programmed to interact naturally and supportively in everyday environments.
Research Focus
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Top Papers
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