Jeong‐Sik Park

Korea Advanced Institute of Science and Technology, Mokwon University, Yeungnam University

Papers

Total Citations

117

H-Index

About

Jeong-Sik Park is a leading researcher in human-robot interaction, with a primary focus on enabling machines to perceive and respond to human emotions. His core work lies at the intersection of speech emotion recognition (SER) and affective computing for service robots. Park’s most influential contribution is his 2009 paper on feature vector classification for SER, which has garnered over 100 citations. This work addressed the critical challenge of distinguishing acoustically similar emotional states, a fundamental hurdle for robots that must interact with diverse users. He further advanced the field by proposing a music-aided framework for affective interaction, modeling a robot’s perception, memory, and expression on the human brain mechanism. Park’s research extends beyond emotion recognition into autonomous navigation, where he developed efficient position estimation methods for mobile nodes in indoor environments. His work has laid essential groundwork for creating more empathetic and context-aware service robots, directly impacting the design of systems that can understand and appropriately respond to human emotional cues during natural interaction.