Euijun Hwang
Papers
1
Total Citations
35
H-Index
1
About
Euijun Hwang investigates the intersection of human-robot interaction and healthcare, focusing on how robotic social behaviors influence user perceptions and outcomes. In a landmark randomized controlled trial published in 2019, Hwang demonstrated that robot attentional behaviors—such as leaning forward and self-disclosure—significantly enhance user engagement and trust in simulated health interactions. This work, cited 35 times, provides foundational evidence for designing socially adept robots capable of improving patient cooperation and comfort in clinical settings. Hwang’s research advances the understanding of non-verbal cues in human-robot communication, offering practical guidelines for deploying robots in therapeutic and caregiving roles. By bridging robotics and behavioral science, Hwang’s contributions help shape the future of empathetic, responsive healthcare technologies that can foster meaningful human-machine partnerships.
Research Focus
Key Achievements
Top Papers
- 1