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About

Yejin Chae is a pioneering researcher at the intersection of psycholinguistics, human-computer interaction, and socially intelligent AI. Her work fundamentally explores how cross-cultural and bilingual language differences shape human cognition during interactions with artificial agents. Chae’s most influential contribution is the development of novel, data-driven frameworks for creating more “life-like” AI capable of natural social interaction, achieved through cooperative game paradigms. Her top-cited paper (13 citations) examines how cross-cultural language differences affect social cognition in human-agent cooperation, while her second most-cited work (12 citations) establishes new approaches for building socially intelligent agents for applications ranging from virtual reality to human-robot interaction. Chae has also advanced the study of linguistic relativity, demonstrating that bilingual speakers exhibit cognitive paradigm shifts when switching languages during speech interactions with AI. Her research is critical for designing AI systems that can adapt to the cognitive and cultural frameworks of diverse users, making her a leading voice in the quest for truly natural, cross-culturally competent artificial social intelligence.