Affiliation:
1. Stanford University, Stanford, CA, USA
Abstract
Autism Spectrum Disorder (ASD) is quickly becoming a global health crisis estimated to affect one in 40 children in the United States [8]. ASD consists of social deficiencies, such as impaired communication, eye contact, facial expression recognition, and social interaction. The current standard of care, applied behavioral analysis (ABA), relies on teaching these skills primarily in clinical environments with tools such as static flashcards. Such tools are largely removed from real world emotional contexts. While ABA can lead to improvements [1, 2], the therapy often generalizes poorly to situations that extend beyond the routines practiced in clinical contexts [3]. Furthermore, access to such treatment is constrained by the availability of therapists, who struggle to keep up with the increasing demand for care.
Publisher
Association for Computing Machinery (ACM)
Cited by
32 articles.
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