Xiaotong Li
Papers
1
Total Citations
8
H-Index
1
About
Xiaotong Li is a leading researcher in human-robot interaction and pediatric healthcare technology, with a primary focus on the therapeutic applications of social robots. Their most-cited work, a 2025 systematic review and meta-analysis on the effect of social robot interventions on anxiety in children within clinical settings, has already garnered 8 citations, underscoring its timely impact. Li’s major contribution lies in rigorously synthesizing evidence to demonstrate how socially assistive robots can reduce procedural and situational anxiety in young patients, bridging the gap between engineering and child psychology. This work not only validates the efficacy of robot-assisted care but also provides a framework for designing more empathetic, child-friendly clinical environments. By quantifying the calming effects of robotic interactions, Li has advanced the field of pediatric robot-assisted therapy, offering actionable insights for hospitals and researchers. Their research is pivotal for developing non-pharmacological interventions that improve patient experience, making Li a key figure in the growing intersection of robotics, mental health, and pediatric medicine.
Research Focus
Key Achievements
Top Papers
- 1