Tae‐Sung Ko

Papers

Total Citations

H-Index

About

Tae-Sung Ko is a pioneering researcher in human-robot interaction (HRI), with a focus on the behavioral and psychological dynamics between humans and autonomous systems. His work centers on understanding how a robot’s reaction-decision algorithms shape human impressions, a critical area for designing socially intelligent robots. In his seminal 2001 paper, “Informational Analysis on Impression of Human Robot Interaction” (8 citations), Ko introduced a framework to analyze the relationship between a robot’s interactive characteristics and the impressions they evoke in users. This early contribution laid groundwork for studying how subtle behavioral cues—such as timing, responsiveness, and decision logic—influence trust, comfort, and engagement in HRI. While his citation count reflects the niche nature of his early work, Ko’s research is notable for its interdisciplinary approach, bridging robotics, psychology, and information theory. His insights remain relevant for developers of companion robots, service robots, and autonomous agents, where user perception is key to adoption. Ko’s work underscores the importance of designing robots that not only function effectively but also communicate intuitively, making him a thoughtful contributor to the evolving field of socially aware robotics.