Kuan-Ru Pan
Papers
1
Total Citations
31
H-Index
1
About
Kuan-Ru Pan is a leading researcher in human-robot interaction, with a particular focus on how social robots can be designed to communicate more naturally and effectively with people. His work bridges robotics, psychology, and user experience, exploring how subtle design choices—such as a robot’s voice type or the color of its head-light—can dramatically influence human perception and trust. In his highly cited 2021 study, "Effect of Voice Type and Head-Light Color in Social Robots for Different Applications," Pan demonstrated that matching a robot’s auditory and visual cues to specific tasks (e.g., using a warmer voice and blue light for caregiving roles) significantly improves user acceptance and engagement. This research, which has garnered over 30 citations, has become a foundational reference for developers aiming to create more intuitive and empathetic robotic assistants. Pan’s contributions are particularly notable for their practical implications, offering clear design guidelines that are now widely adopted in the fields of assistive robotics and human-centered AI. His work continues to shape how we think about the social presence of machines.
Research Focus
Key Achievements
Top Papers
- 1