Gyeore Lee

Papers

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About

Gyeore Lee is a researcher at the forefront of human-robot interaction, with a focused expertise in designing social dialogue models that enable more natural and meaningful communication between humans and robots. Their key contributions center on deconstructing the intricate structure and elements of human conversation to build robust frameworks for social robots. Lee’s most-cited work, "Designing Social Dialogue Model for Human-Robot Interactions" (2019), which has garnered 2 citations, provides a foundational blueprint for how robots can engage in contextually aware, socially appropriate dialogue. By collecting and analyzing real conversational data, Lee has advanced the field’s understanding of the nuanced verbal and non-verbal cues necessary for effective human-robot social exchanges. This work is particularly notable for its practical implications in developing companion robots, service robots, and assistive technologies that require sophisticated social capabilities. Lee’s research is essential reading for students and scholars interested in the intersection of artificial intelligence, linguistics, and robotics, offering a systematic approach to making robot interactions feel less mechanical and more genuinely social.