Byounghern Kim
Papers
5
Total Citations
14
H-Index
3
About
Byounghern Kim is a researcher at the forefront of human-robot interaction, specializing in affective computing and tangible interfaces for social robotics. His work centers on developing computational models that enable robots to express emotions more naturally and intuitively, bridging the gap between rigid, pre-programmed responses and fluid, human-like communication. Kim’s major contributions include the creation of the Expanded Linear Dynamic Affect-Expression Model, which allows for lingering emotional expressions, and a system that simultaneously controls a robot’s facial and movement expressions, moving beyond static sequences. He has also pioneered a robot-assisted online pain communication system using a squeezable tangible user interface, addressing the subjective nature of pain assessment. With a growing citation impact—his 2022 paper on pain communication has garnered 4 citations, and his 2023 studies on color and facial expression in social robots each have 3 citations—Kim’s work is shaping how robots perceive and convey emotion. Notably, his research on facial expression customization and human perception of robot emotions highlights his commitment to enhancing user acceptance and relationship building, making him a key figure in advancing empathetic human-robot interaction.
Research Focus
Key Achievements
Top Papers
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