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About

Jaebok Kim is a leading researcher in human-robot interaction, with a focus on social robotics and multi-modal perception. His work centers on understanding and modeling the dynamics of group-robot interactions, particularly in contexts involving children and the elderly. Kim’s major contributions include pioneering studies on social positioning patterns for mobile robots interacting with small groups, where he generated hypotheses for suitable robot behavior based on temporal and spatial cues. He also developed TERESA, a socially intelligent semi-autonomous telepresence system designed to facilitate social participation for elderly individuals in day centers, a project funded by the European Union. His research on vocal turn-taking patterns in children’s collaborative tasks has advanced the design of robots that support young learners, while his work on automatic recognition of engagement and emotion using multi-modal cues has enabled robots to adaptively respond to individual needs. With over 78 citations across his most-cited papers, Kim’s impact is evident in his innovative approaches to accommodating hearing problems in elderly interactions and ranking children’s engagement levels. His achievements highlight a commitment to creating socially aware robots that enhance human communication and collaboration.