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About

Eunseo Yoon investigates the intersection of psycholinguistics, social cognition, and human-agent interaction, exploring how language and culture shape our engagement with artificial intelligence. Her work centers on the design of socially intelligent AI that can navigate the complexities of cross-cultural and bilingual communication. In her most influential study, "Effects of cross-cultural language differences on social cognition during human-agent interaction in cooperative game environments" (2023, 13 citations), Yoon demonstrates how linguistic backgrounds alter users' social perceptions of AI agents. Her widely cited 2022 paper (12 citations) develops novel, data-driven frameworks for creating more "life-like" social AI, advancing the field of human-robot interaction and virtual reality. More recently, Yoon has examined cognitive shifts in bilingual speakers, showing that switching languages can fundamentally change how individuals interact with artificial agents—a finding with profound implications for natural language processing and global AI design. Her research, though early in its trajectory, is already shaping how we build AI systems that are not only functional but culturally and cognitively attuned to their human partners.