Jong-Won Yoon

Papers

Total Citations

H-Index

About

Jong-Won Yoon is a researcher whose work lies at the intersection of human-robot interaction and intelligent dialogue systems. His key contributions focus on making robot communication more natural and adaptive, moving beyond rigid, predefined responses. In his most cited work, Yoon proposed a gesture-based dialogue management system that uses a behavior network to dynamically select robot actions based on both user gestures and speech. This approach allows robots to interpret multimodal cues and adjust their responses in real time, significantly enhancing the flexibility and intuitiveness of human-robot interaction. While his citation counts reflect a niche but growing field, his research addresses a fundamental challenge in robotics: enabling machines to understand and respond to humans with the fluidity of natural conversation. By integrating gesture recognition with dialogue management, Yoon’s work lays important groundwork for more responsive, context-aware robotic assistants. His contributions are particularly relevant for researchers exploring non-verbal communication in robotics and the development of socially intelligent machines.