Yejee Kim

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About

Yejee Kim is a leading researcher in human-robot interaction, with a focus on understanding how people perceive, trust, and engage with social robots. Her work bridges psychology and robotics, particularly through the development and validation of robust measurement tools for studying human-robot relationships. In her highly cited 2018 paper, "Measures of incentives and confidence in using a social robot," Kim demonstrated that these measures are not only stable and predictive but also sensitive to changes in robot behaviors—a critical insight for designing adaptive, trustworthy robotic systems. With 21 citations, this foundational work has shaped subsequent studies on user acceptance and behavioral dynamics in social robotics. Kim’s contributions are essential for advancing robots that can meaningfully interact with humans in healthcare, education, and domestic settings. Her research provides researchers and designers with the empirical tools needed to evaluate and improve how robots communicate intent and build user confidence, making her a key figure in the quest for more intuitive and socially aware machines.