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About

Yumiko Tamura is a leading researcher in human-robot interaction, specializing in the design of social robots for early childhood education. Her work centers on how robots can serve as interactive-social mediums, particularly in storytelling and learning environments for preschool children. Tamura’s most significant contribution is her pioneering investigation of multi-robot systems, where a “reader robot” and a “listener robot” work in tandem to engage children. Her 2017 study on the effects of a listener robot in storytelling (25 citations) demonstrated that a robot acting as an attentive side-participant can enhance children’s narrative engagement. Expanding on this, her 2021 work on praise from two robots (17 citations) revealed that dual-robot encouragement significantly increases children’s learning time and task persistence compared to a single robot. Another highly cited 2021 paper (17 citations) explored group interaction dynamics, showing that multiple robots can foster collaborative storytelling among children. Tamura’s research has been recognized for its innovative use of semi-autonomous systems and gaze models to create believable social interactions. Her findings have practical implications for designing educational robots that are not just tools, but social partners capable of motivating young learners through praise and attentive listening.