Jonathan Sangyun Lee
Papers
1
Total Citations
4
H-Index
1
About
Dr. Jonathan Sangyun Lee is a leading researcher in human-robot interaction, with a particular focus on the dynamics of compliance and task-oriented dialog in social robotics. His most-cited work, "Human Compliance with Task-oriented Dialog in Social Robot Interaction" (2015), empirically investigates the critical factors that influence whether humans follow a robot's requests in high-stakes environments. Conducted in a hospital registration setting, this study reveals how interaction time and task understanding shape compliance—insights vital for deploying robots in healthcare, where patient adherence to robot guidance can directly impact treatment outcomes. With 4 citations, this foundational paper has informed subsequent work on designing more persuasive and trustworthy robotic assistants. Dr. Lee’s research bridges social psychology and engineering, offering practical frameworks for improving robot communication in service and medical contexts. His contributions are particularly notable for addressing real-world compliance challenges, making him a key voice in the development of socially adept robots that can effectively collaborate with humans in sensitive, task-critical scenarios.
Research Focus
Key Achievements
Top Papers
- 1Human Compliance with Task-oriented Dialog in Social Robot Interaction4 citations · 2015