Ohbyung Kwon
Papers
8
Total Citations
161
H-Index
5
About
Ohbyung Kwon is a leading researcher at the intersection of human-robot interaction (HRI), service robotics, and intelligent systems. His work primarily investigates how social robots can be effectively deployed in healthcare and educational settings, focusing on user compliance, acceptance, and satisfaction. Kwon’s most influential study, “The Influence of Politeness Behavior on User Compliance with Social Robots in a Healthcare Service Setting” (96 citations), demonstrates how robot communication styles directly impact patient cooperation—a critical insight for designing effective care robots. He has also advanced robot-assisted learning by examining the cognitive and affective factors behind human likeness adoption (23 citations), and developed innovative methods like combining TF-IDF and LDA for flexible, context-aware robot recommendations (22 citations). His research extends to personalization services and the uncanny valley phenomenon, exploring how robot category and role affect user perception. With a portfolio of papers spanning compliance, dialog systems, and power optimization, Kwon’s work provides foundational knowledge for creating socially adept robots that users trust and engage with, making him a key figure in the evolution of human-centered robotics.
Research Focus
Key Achievements
Top Papers
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- 6Human Compliance with Task-oriented Dialog in Social Robot Interaction4 citations · 2015
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