Sunghyun Park

Papers

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About

Sunghyun Park is a pioneering researcher in human-robot interaction, specializing in affective computing and autonomous robotic behavior. His work centers on developing computational models that enable robots to exhibit dynamic, human-like emotional responses, bridging the gap between mechanical function and social intelligence. Park’s most influential contribution is the TAME framework—a comprehensive, time-varying affective model integrating personality traits, attitudes, moods, and emotions. His seminal paper, "TAME: Time-Varying Affective Response for Humanoid Robots" (2011), has garnered 53 citations, establishing a foundational approach for designing socially aware robots. He further advanced this field with his work on mood as an affective component, introducing "Learning Momentum" for continuous behavioral adaptation (2010, 9 citations), which allows robots to modify their interactions based on accumulated emotional states. Park’s research has significant implications for assistive robotics, entertainment, and therapeutic applications, where natural, context-sensitive behavior is essential. His innovative integration of psychological theory with robotic control systems has inspired subsequent work in long-term human-robot relationships, making him a key figure in the evolution of emotionally intelligent machines.