Papers
2
Total Citations
38
H-Index
2
About
Guobin Wan is a leading researcher at the intersection of human-computer interaction, assistive robotics, and cognitive rehabilitation, with a primary focus on developing technology-based interventions for children with Autism Spectrum Disorder (ASD). His work addresses critical gaps in traditional rehabilitation methods by leveraging interactive systems to improve social and emotional skills. Wan’s most cited contribution, the **FECTS system** (2022, 28 citations), is a pioneering Facial Emotion Cognition and Training System that uses augmented reality and human-computer interaction to help Chinese children with ASD recognize and respond to facial expressions, offering a scalable alternative to card-based or robot-assisted training. In a notable clinical study (2019, 10 citations), he demonstrated how socially interactive robots can effectively shift attention in children with ASD during child-robot interaction, providing preliminary evidence for robotic assistance in rehabilitation. By integrating principles from affective computing and developmental psychology, Wan’s research directly addresses the shortage of medical personnel while enhancing treatment diversity. His work is widely cited in assistive technology and autism intervention literature, positioning him as a key innovator in creating accessible, culturally adaptive tools for special education.
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