Aelee Kim
Papers
3
Total Citations
63
H-Index
3
About
Aelee Kim is a researcher in human-robot interaction, with a focus on how robot gestures and user familiarity shape the acceptance of information. Her work investigates the subtle dynamics of non-verbal communication between humans and robots, exploring how coordinated and uncoordinated gestures influence user perception and trust. In her most-cited study, she conducted a three-week experiment comparing gesture and no-gesture conditions, revealing that repeated exposure and familiarity significantly enhance user acceptance. Another key study, using the Wizard of Oz method with 63 participants, demonstrated that coordinated gestures improve the robot’s effectiveness as an information deliverer. With over 60 citations across her top papers, Kim’s research bridges robotics, psychology, and communication design, offering practical insights for creating more intuitive and socially acceptable robotic systems. Her work is particularly valuable for students and researchers interested in designing robots that interact naturally with humans, emphasizing the importance of gesture and familiarity in building trust and improving user experience.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3