Jun KOGAMI

Aoyama Gakuin University, Schlumberger (Norway)

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About

Jun Kogami is a pioneering researcher in the field of human-robot interaction, with a specialized focus on developing artificial emotional intelligence for caretaker support robots. His groundbreaking work centers on creating "KANSEI" systems—computational models that enable robots to generate and express human-like emotions, feelings, and affective behaviors. Kogami's most significant contribution is the development of a novel KANSEI generator using Hidden Markov Models (HMM), which he demonstrated to be particularly effective for modeling the nondeterministic, time-series nature of human emotional transitions. His 2009 paper on this method, with 8 citations, established a foundational approach for constructing emotion engines in robotic systems. Kogami further advanced the field by integrating three core components—an emotion identifier, an emotion generator, and an action modulator—into a complete virtual KANSEI system for robots. This integrated system, detailed in his 2010 work (2 citations), allows robots to detect a partner's emotions from facial images and generate appropriate emotional responses. Through his research, Kogami has made important strides toward creating more empathetic and socially intelligent robots capable of providing effective emotional support in caretaking applications.