A virtual reality (VR)-based system for evaluating facial emotion recognition ability of teenagers with autism spectrum disorders (ASD) is presented. This system is integrated with a non-contact eye tracker that allows investigation of eye gaze and eye physiological indices (e.g., blink rate) of the participants while they seek to identify the emotion displayed by the avatars in the VR environment. Performance and eye data of 12 participants (6 children with ASD and 6 typically developing children) are presented.
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