Seo-Young Lee

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About

Seo-Young Lee is a pioneering researcher in human-robot interaction, with a focus on how social robots can be designed to adapt to diverse contexts and user expectations. Her most-cited work, "Robots in Diverse Contexts" (2018, 6 citations), lays the groundwork for understanding how people’s preferences for a robot’s personality shift depending on the task at hand—whether it’s caregiving, education, or domestic assistance. Through a combination of semi-structured interviews and surveys, Lee identified four key task categories that shape user expectations, offering a framework for developing more intuitive and socially responsive robots. This research has been instrumental in moving beyond one-size-fits-all robot designs, influencing subsequent studies on adaptive human-robot collaboration. While still early in her career, Lee’s contributions are gaining traction among scholars exploring the intersection of psychology, design, and robotics. Her work promises to make future robots more effective companions in everyday life, from homes to hospitals.