Yui Matsuura

Papers

Total Citations

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About

Yui Matsuura is a pioneering researcher in human-robot interaction, with a focus on affective computing and non-verbal communication. Her work centers on developing robots capable of expressing and interpreting human emotions, particularly through facial and eye-based cues. Her most-cited paper, "Fuzzy Inference-Based Mentality Expression for Eye Robot in Affinity Pleasure-Arousal Space" (2009, 26 citations), introduces a novel framework for enabling robots to convey nuanced mental states using fuzzy logic within a pleasure-arousal emotional model. This contribution is foundational for creating more intuitive and empathetic robotic companions, bridging the gap between artificial systems and human emotional expression. Matsuura's research has implications for assistive robotics, entertainment, and social robotics, where subtle emotional signaling is critical. Her work stands out for its integration of fuzzy inference systems with robotic design, offering a computationally tractable approach to real-time emotion expression. Though her citation count reflects a specialized niche, her ideas have influenced subsequent studies on affective robotics and human-robot trust. Matsuura’s contributions underscore the importance of designing robots that not only perform tasks but also resonate emotionally with users, advancing the field toward more natural and engaging human-machine interactions.