Jingguang Han
Papers
2
Total Citations
114
H-Index
2
About
Jingguang Han is a leading researcher in human-robot interaction, with a focus on multimodal communication and non-verbal cue processing. His pioneering work, particularly with the Nao humanoid robot, has significantly advanced how robots interpret and respond to human gestures, gaze, and speech in real-time. Two of his most cited papers (each with 57 citations) explore the integration of sensor-driven platforms and conversational systems. In one, he developed a novel method for investigating non-verbal cues using the Nao platform, conducting pilot experiments with 12 users to demonstrate the robot’s ability to recognize and react to multimodal inputs. In the other, he implemented WikiTalk—an open-domain spoken dialogue system—on the Nao robot, enabling fluid, context-aware conversations. This work, showcased at the 8th International Summer Workshop on Multimodal Interfaces, highlights his ability to bridge hardware and software for natural interaction. Han’s contributions are foundational for creating socially intelligent robots, and his research continues to inspire advances in assistive robotics and human-centered AI.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multimodal conversational interaction with a humanoid robot57 citations · 2012