Eri Yoshida

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About

Eri Yoshida is a pioneering researcher in human-robot interaction, with a focus on deploying robots in real-world social settings such as museums. Her work centers on two key areas: sensor-based tracking systems for autonomous robot navigation and the intercultural dynamics of human-robot communication. In her most cited paper, "Tracking visitors with sensor poles for robot's museum guide tour" (14 citations), Yoshida proposed an innovative system using bearing sensors to simultaneously localize both a robot and its human visitors, enabling seamless guided tours. This foundational contribution to robot perception and crowd-aware navigation has influenced subsequent work in social robotics. Complementing this technical achievement, Yoshida's research on "Question strategy and interculturality in human-robot interaction" (3 citations) reveals how Japanese and English speakers engage differently with a quiz robot, highlighting the importance of cultural context in designing conversational agents. Her interdisciplinary approach—bridging engineering, ethnomethodology, and cross-cultural studies—has produced notable insights into the universal and culture-specific aspects of multiparty human-robot interaction. Through these contributions, Yoshida has advanced our understanding of how robots can function as effective, culturally sensitive social partners in public spaces.