The purpose of this study is to identify whether researched and commonly used face-to-face interventions can be effectively implemented through artificial intelligence (AI) using an application on the phone or computer. The investigators plan to recruit verbal individuals diagnosed with autism spectrum disorder who demonstrate challenges with socialization. Modules focusing on various difficulties experienced by autistic individuals will provide practice and feedback using voice recognition and feedback. If effective, this intervention can be scaled up to provide cost-effective accessible assistance to individuals, particularly those who do not have access to care or prefer to secure services in the comfort of their own homes.
Autism Spectrum Disorder
The purpose of this study is to identify whether researched and commonly used face-to-face interventions can be effectively implemented through artificial intelligence (AI) using an application on the phone or computer. The investigators plan to recruit verbal individuals diagnosed with autism spectrum disorder who demonstrate challenges with socialization. Modules focusing on various difficulties experienced by autistic individuals will provide practice and feedback using voice recognition and feedback. If effective, this intervention can be scaled up to provide cost-effective accessible assistance to individuals, particularly those who do not have access to care or prefer to secure services in the comfort of their own homes.
Improving Social Communication in Individuals With ASD Using AI
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Stanford University School of Medicine, Stanford, California, United States, 94305
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
For general information about clinical research, read Learn About Studies.
11 Years to 35 Years
ALL
No
Stanford University,
2050-06-30