Chika Itoh

Papers

Total Citations

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About

Chika Itoh’s research lies at the intersection of human-robot interaction and affective computing, with a focus on endowing robots with emotionally expressive personalities. Her most influential work introduces a mood-transition-based emotion generation model that enables robots to exhibit dynamic, context-sensitive emotional states, making them appear more familiar and human-like to users. This foundational paper has garnered 18 citations and is complemented by her studies on sensitivity communication robots, where she characterizes how mood transitions shape user perception and psychological response. Itoh’s contributions are particularly notable for addressing a key challenge in social robotics: how to design artificial personalities that evolve naturally over time, rather than relying on static emotional displays. Her work on psychological evaluation of robot personality provides empirical evidence that mood-driven behavior significantly alters human comfort and engagement. Though her citation counts are modest, Itoh’s research is pioneering in its systematic approach to modeling robot affect as a continuous, transitional process—a concept that has influenced later work in affective robotics and human-robot relationship design. For students and researchers entering this field, Itoh’s studies offer a clear, early framework for thinking about how robots can become emotionally relatable companions.