Researchers have suggested that the two primary cognitive features of autism spectrum disorder (ASD), a drive toward nonsocial processing and a reduced drive toward social processing, may be unrelated to each other in the neurotypical (NT) population and may therefore require separate explanations. Drive toward types of processing may be related to physiological arousal to categories of stimuli, such as social (e.g., faces) or nonsocial (e.g., trains). This study investigated how autistic traits in an NT population might relate to differences in physiological responses to nonsocial compared with social stimuli. NT participants were recruited to examine these differences in those with high vs. low degrees of ASD traits. Forty-six participants (21 male, 25 female) completed the Autism Spectrum Quotient (AQ) to measure ASD traits before viewing a series of 24 images while skin conductance response (SCR) was recorded. Images included six nonsocial, six social, six face-like cartoons, and six nonsocial (relating to participants' personal interests). Analysis revealed that those with a higher AQ had significantly greater SCR arousal to nonsocial stimuli than those with a low AQ, and the higher the AQ, the greater the difference between SCR arousal to nonsocial and social stimuli. This is the first study to identify the relationship between AQ and physiological response to nonsocial stimuli, and a relationship between physiological response to both social and nonsocial stimuli, suggesting that physiological response may underlie the atypical drive toward nonsocial processing seen in ASD, and that at the physiological level at least the social and nonsocial in ASD may be related to one another.

Abstract. In autism and technology research, technologies are often developed by researchers targeting specific social and communication difficulties experienced by individuals with autism. In some technologybased projects, children and adults with autism as well as parents, carers, teachers, and other professionals, are involved as users, informers, and (more rarely) as co-designers. However, much less is known about the views of the autism community about the needs they identify as areas that could be addressed through innovative technological solutions. This paper describes the ASCmeI.T. project which encourages members of the autism community to download a free app to answer the question: If there was one new technology to help people with autism, what would it be? This project provides a model of e-participation in which people from the autism community are involved from the start so that new developments in digital technologies can be better matched to support the needs of users.