Shumeng Hou
Papers
4
Total Citations
26
H-Index
3
About
Shumeng Hou is a pioneering researcher at the intersection of developmental robotics and clinical intervention for autism spectrum disorder (ASD). Her work centers on leveraging humanoid robots and multimodal interactive technologies to enhance social communication in young children with ASD. Hou’s landmark fNIRS study (2022, 14 citations) revealed that children with autism exhibit atypical prefrontal cortical responses to humanoid robots compared to typically developing peers, providing the first neuroimaging evidence for robot-based interventions. She further demonstrated the efficacy of robot-assisted PECS training (2024, 6 citations) in improving social communication skills among preschoolers with ASD. Hou has also designed innovative interactive training apps that integrate social robots with mobile platforms, targeting core deficits in social interaction and object recognition. Her research, cited over 25 times, bridges cognitive neuroscience, human-robot interaction, and clinical practice, offering scalable, evidence-based tools for early intervention. Hou’s work is particularly notable for its translational impact, directly informing the development of accessible, robot-assisted therapies that address the pressing needs of ASD families worldwide.
Research Focus
Key Achievements
Top Papers
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