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About

Chaona Chen is a cognitive scientist and affective computing researcher whose work sits at the compelling intersection of cross-cultural psychology, facial expression science, and social robotics. Her research has made significant strides in untangling one of psychology's most enduring debates: whether facial expressions of emotion are universal or culturally specific. Her highly cited 2017 paper on cultural differences and similarities in facial expressions (52 citations) challenged long-standing dichotomies in the field, proposing more nuanced, data-driven frameworks for understanding emotional communication across cultures. Chen has translated these psychological insights into practical innovations in human-robot interaction. Her work on equipping social robots with culturally sensitive facial expressions — including her 2019 study (38 citations) and a 2018 reverse-engineering approach (37 citations) — addressed a critical gap in robotics: that standardized robotic expressions fail to resonate across diverse human populations. More recently, her 2023 research explored robot self-recognition through sensorimotor learning, pushing the boundaries of machine cognition. Across her career, Chen has consistently demonstrated that understanding the human face is not merely an academic pursuit, but a practical foundation for building technology that genuinely connects with people across cultural boundaries.