Yoshimichi Ejima

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About

Yoshimichi Ejima is a researcher whose work sits at the intersection of human-robot interaction and cognitive psychology, with a particular focus on how aesthetic and instinctual responses shape our engagement with robotic systems. His key research areas include robot appearance design, the psychological impact of "baby schema" (Kindchenschema), and the behavioral dynamics of human-robot communication. Ejima’s most notable contribution is his 2021 study, "A Behavior Study on the Effect of Baby Schema on Face Discrimination for Robot Appearance Design," which examines how innate human protective instincts toward infant-like features can be leveraged to create more appealing and socially acceptable robot faces. This work, which has garnered 2 citations, provides foundational insights for designers aiming to optimize robot aesthetics for public acceptance. By bridging evolutionary psychology with robotics, Ejima offers a unique perspective on how subtle visual cues can influence trust and comfort in human-robot interactions. His research is particularly relevant as robots become more integrated into daily life, making his contributions valuable for students and researchers exploring the social dimensions of artificial intelligence.