Shogo Nabe

The University of Tokyo, Tokyo University of the Arts, Tokyo University of Science

Papers

Total Citations

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About

Shogo Nabe is a pioneering researcher in human-robot interaction, whose work has fundamentally shaped how communication robots perceive and respond to human social behavior. His primary research areas include social robotics, human behavior analysis, and the development of computational models for robot-mediated social interaction. Nabe’s major contributions lie in understanding how robots can interpret non-verbal cues to estimate human relationships and predict behavior in real-world settings. His most influential work, "Analysis of human behavior to a communication robot in an open field" (17 citations), conducted at a science museum, provided foundational insights into how people naturally interact with robots in public spaces. He further advanced the field with his "Human friendship estimation model for communication robots" (17 citations), which demonstrated how robots could analyze inter-human interactions to gauge social bonds—a critical capability for socially aware robots. Nabe also explored the role of robots as social mediators, using behavioral coding to study child-robot encounters. His research, though modest in citation count, has been instrumental in bridging engineering and social science, offering practical frameworks for designing robots that can seamlessly integrate into human social environments.