Virtual reality social training for adolescents with high functioning autism
Virtual reality training has potential to be an effective mode of therapy for players with autism spectrum disorders, but existing systems are not suited to the complex interactions required for this application; evaluation and treatment of autism is still a challenging task for human experts. In this paper we present an adaptive training system that learns to map player performance deficits to the most effective instructional response. This system uses a neural network to monitor player performance and a learning fuzzy inference system to map performance deficits to instructional techniques. The functionalities of the system are then evaluated.
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)