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Comment & Response
September 9, 2019

The Potential for Machine Learning–Based Wearables to Improve Socialization in Teenagers and Adults With Autism Spectrum Disorder—Reply

Author Affiliations
  • 1Department of Computer Science, Stanford University, Stanford, California
  • 2Department of Pediatrics, Systems Medicine, Stanford University, Stanford, California
  • 3Departments of Pediatrics, Stanford Solutions Science Lab, and Medicine, Stanford University, Stanford, California
  • 4Department of Biomedical Data Science, Stanford University, Stanford, California
  • 5Department of Psychiatry and Behavioral Sciences (by courtesy), Stanford University, Stanford, California
JAMA Pediatr. Published online September 9, 2019. doi:10.1001/jamapediatrics.2019.2969

In Reply We agree with the commentary by Ahuja on our article.1 Adolescents and adults need innovative digital solutions that can scale to meet what is an enormous and enormously diverse demand. Complex social interactions, such as dating, interviewing, managing conflict, and even just basic daily living skills, challenge this teenager-to-adult population in myriad ways. Naturally, this makes the focus on tools development significantly more challenging. What are the biggest unmet needs where the combination of artificial intelligence and augmented reality wearables (or similar tools) can make a positive effect? We can generate a list, and probably come up with a fairly exhaustive one, but how to prioritize that list is daunting.

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