Xueshuang Wang
Papers
1
Total Citations
55
H-Index
1
About
Xueshuang Wang is a leading researcher in human-robot interaction, with a particular focus on how robots can communicate more naturally and effectively with humans. Their work bridges cognitive neuroscience and robotics, investigating how subtle design features—such as a robot's gaze behavior and the human-likeness of its voice—influence users' subjective perceptions, visual attention, and even cerebral activity during voice conversations. Wang's most-cited paper (2022, 55 citations) provides groundbreaking insights into the neural and behavioral responses elicited by different robot communication styles, offering a scientific foundation for designing more engaging and trustworthy social robots. This research has significant implications for fields ranging from assistive technology to collaborative industrial robotics. By combining rigorous experimental methods with real-world applications, Wang has established themselves as a key contributor to understanding the cognitive and emotional dimensions of human-robot interaction, helping to shape the future of how machines and people connect.
Research Focus
Key Achievements
Top Papers
- 1