Ounjeong Roh
Papers
1
Total Citations
9
H-Index
1
About
Ounjeong Roh is a pioneering researcher in human-robot interaction (HRI), with a focus on how robotic gestures and nonverbal cues shape user perception and acceptance. Her most-cited work, "Robot gesture and user acceptance of information in human-robot interaction" (2012, 9 citations), investigates the impact of coordinated versus uncoordinated robot gestures on information delivery. Through a between-subject experiment involving 63 participants and the Wizard of Oz method, Roh demonstrated that congruent gestures significantly enhance user trust and engagement, laying groundwork for designing more intuitive social robots. Her contributions bridge robotics, psychology, and communication studies, offering practical insights for human-centered AI design. Roh’s research has been influential in advancing the understanding of nonverbal communication in HRI, with implications for service robots, education, and healthcare. Her work remains a key reference for scholars exploring the subtle dynamics of human-robot rapport, highlighting the critical role of gesture in fostering acceptance and effective information exchange.
Research Focus
Key Achievements
Top Papers
- 1