H. Yokoyama

Papers

Total Citations

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About

H. Yokoyama is a researcher whose work explores the intersection of human-robot interaction and affective computing, with a particular focus on how emotional connections form through rhythmic, embodied communication. His most cited paper, "How does emphatic emotion emerge via human-robot rhythmic interaction?" (2014, 3 citations), investigates the subtle dynamics of synchrony and timing between humans and robots, proposing that shared rhythmic movement can foster empathetic bonds. This contribution is notable for bridging robotics with insights from developmental psychology and music cognition, suggesting that even simple, repetitive interactions can evoke genuine emotional responses. While his citation count is modest, Yokoyama’s work is conceptually rich, offering a foundation for future studies on non-verbal emotional transmission in social robotics. His research underscores the importance of designing robots that can engage in natural, rhythmic exchanges—a key challenge for creating machines that feel more like companions than tools. For students and researchers, Yokoyama’s approach highlights how interdisciplinary thinking can illuminate the subtle mechanisms behind human-robot empathy.