Seeun Lee

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About

Seeun Lee is a researcher at the intersection of human-agent interaction, social cognition, and cross-cultural communication. Her work explores how language and cultural differences shape the ways people perceive and collaborate with artificial agents, particularly in cooperative game environments. In her most-cited study, "Effects of cross-cultural language differences on social cognition during human-agent interaction in cooperative game environments" (2023, 13 citations), Lee demonstrates that subtle linguistic variations can significantly alter users' trust, cooperation, and mental models of AI partners. This foundational contribution highlights the importance of culturally aware design in human-agent systems, challenging one-size-fits-all approaches to interaction. Lee's research is vital for developing more inclusive and effective AI, especially in globalized contexts where users from diverse backgrounds interact with the same technology. Her work has been recognized for its interdisciplinary rigor, bridging cognitive science, linguistics, and human-computer interaction. As the field moves toward more personalized and context-sensitive agents, Lee's insights offer a critical framework for understanding how language mediates social bonds between humans and machines.