Yunyi Wu

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About

Yunyi Wu investigates the intersection of child development, social cognition, and human-robot interaction, with a particular focus on how children perceive and trust intelligent agents. Her most-cited work, "Does appearance affect children's selective trust in robots' social and emotional testimony?" (2024), has already garnered 6 citations, reflecting its timely relevance in the rapidly evolving field of AI ethics and developmental psychology. In this study, Wu examines how a robot’s physical appearance—whether humanoid or mechanical—shapes children’s willingness to accept its social and emotional testimony, revealing critical insights into the mechanisms of trust formation in young minds. Her contributions bridge cognitive science and robotics, offering foundational evidence for designing trustworthy AI systems that interact with vulnerable populations. Wu’s research is notable for its interdisciplinary approach, combining experimental methods from developmental psychology with cutting-edge questions in human-robot interaction. Her work not only advances academic understanding but also informs practical guidelines for educators, parents, and engineers developing child-friendly technologies. As a rising scholar, Wu’s findings underscore the profound impact of embodiment on social learning, positioning her as a key voice in debates about the ethical deployment of robots in educational and caregiving contexts.