Comparing the effectiveness of robot-based to human-based intervention in improving joint attention in autistic children

The idea that social motivation deficits play a central role in Autism Spectrum Disorders (ASD) has recently gained increased interest. This constitutes a shift in autism research, which has traditionally focused more intensely on cognitive impairments, such as theory-of-mind deficits or executive dysfunction, and has granted comparatively less attention to motivational factors. This review delineates the concept of social motivation and capitalizes on recent findings in several research areas to provide an integrated account of social motivation at the behavioral, biological and evolutionary levels. We conclude that ASD can be construed as an extreme case of diminished social motivation and, as such, provides a powerful model to understand humans' intrinsic drive to seek acceptance and avoid rejection. Copyright © 2012 Elsevier Ltd. All rights reserved.

The mind-blindness theory of autism spectrum conditions has been successful in explaining the social and communication difficulties that characterize these conditions but cannot explain the nonsocial features (the narrow interests, need for sameness, and attention to detail). A new theory, the empathizing-systemizing (E-S) theory, is summarized, which argues two factors are needed to explain the social and nonsocial features of the condition. This is related to other cognitive theories such as the weak central coherence theory and the executive dysfunction theory. The E-S theory is also extended to the extreme male brain theory as a way of understanding the biased sex ratio in autism. Etiological predictions are discussed, as are the clinical applications arising from the E-S theory.

Autism spectrum disorders are a group of lifelong disabilities that affect people's ability to communicate and to understand social cues. Research into applying robots as therapy tools has shown that robots seem to improve engagement and elicit novel social behaviors from people (particularly children and teenagers) with autism. Robot therapy for autism has been explored as one of the first application domains in the field of socially assistive robotics (SAR), which aims to develop robots that assist people with special needs through social interactions. In this review, we discuss the past decade's work in SAR systems designed for autism therapy by analyzing robot design decisions, human-robot interactions, and system evaluations. We conclude by discussing challenges and future trends for this young but rapidly developing research area.