Brain signal evaluation of children with Autism Spectrum Disorder in the interaction with a social robot

Abstract This work consists of a pilot study in which brain signals captured by electroencephalography (EEG) of children diagnosed with Autism Spectrum Disorder (ASD) are evaluated during the interaction with a social robot. Social skills and interaction of children with ASD with the robot are proposed and assessed, using quantitative scale and images recorded by video cameras. During interaction with the robot, results show high activation of alpha and beta rhythms in brain regions important to social skills. Quantitative scales indicate a positive children–robot interaction and point out the social robot as a potential tool to stimulate social skills and facilitate the interaction with other people.