Jooyun Han

Papers

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About

Jooyun Han is a pioneering researcher in human-robot interaction, with a focus on how social cues—such as gesture and familiarity—shape user acceptance of robotic systems. Her most-cited work, “The effects of familiarity and robot gesture on user acceptance of information” (2013), has garnered over 50 combined citations, demonstrating its influence in the field. Through a three-week experimental study, Han demonstrated that both repeated exposure and non-verbal robot gestures significantly improve how users perceive and trust information delivered by robots. Her research also tackles the profound question of whether humans can empathize with robots, as seen in her papers “Empathy between human and robot?” (2013). By applying sociological and psychological frameworks, Han explores how people attribute social presence to machines, observing shifts in emotion and perception during interaction. Her work bridges engineering and social science, offering foundational insights for designing more intuitive, accepted, and socially aware robots. Han’s contributions are especially valuable for students and researchers interested in the affective and cognitive dimensions of human-robot relationships.