Papers
6
Total Citations
506
H-Index
5
About
Xingyan Li’s research sits at the intersection of human-robot interaction, social robotics, and healthcare robotics, with a focus on how robot design and behavior shape human perception and trust. Their most influential work, “Robots with Display Screens” (260 citations), demonstrates that robots with humanlike facial displays are perceived as having more mind and better personality—a critical insight for designers navigating the Uncanny Valley. Li’s 2014 study “People respond better to robots than computer tablets delivering healthcare instructions” (157 citations) showed that embodied robots outperform tablets in patient compliance, advancing the case for robotic caregivers. Their work on older adults’ attitudes toward conversational robots (45 citations) highlights the role of prior expectations in technology acceptance. Earlier contributions include sensor-based fault detection for multi-robot teams (26 citations) and expressive facial speech synthesis systems (Eface) that combine empathetic speech with animated faces (13 and 5 citations). Li’s research has practical implications for healthcare, elder care, and service robotics, bridging engineering and psychology to create more effective, trusted robotic companions.
Research Focus
Key Achievements
Top Papers
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- 5Expressive facial speech synthesis on a robotic platform13 citations · 2009
- 6Expressive Speech for a Virtual Talking Head5 citations · 2009