Digital Phenotyping based on a Mobile App Identifies Distinct and Overlapping Features in Children Diagnosed with Autism versus ADHD
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Aikat, V; Krishnappa Babu, PR; Carpenter, KLH; Di Martino, JM; Espinosa, S; Davis, N; Franz, L; Spanos, M; Dawson, G; Sapiro, G
Published in: UIST Adjunct 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology
October 13, 2024
The high prevalence of autism calls for accessible and scalable technology-assisted screening tools. This will aid in early detection allowing timely access to services and supports. SenseToKnow, a mobile digital phenotyping app, showed potential in eliciting autism-related behaviors that can be automatically captured via computer vision analysis (CVA) in toddlers. Here, we present the capability of SenseToKnow in characterizing autism in school age children and showcase the robustness of the CVA features in interpreting distinct and overlapping behaviors with attention-deficit/hyperactive disorder (ADHD).
Duke Scholars
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UIST Adjunct 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology
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Publication Date
October 13, 2024
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Aikat, V., Krishnappa Babu, P. R., Carpenter, K. L. H., Di Martino, J. M., Espinosa, S., Davis, N., … Sapiro, G. (2024). Digital Phenotyping based on a Mobile App Identifies Distinct and Overlapping Features in Children Diagnosed with Autism versus ADHD. In UIST Adjunct 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology. https://doi.org/10.1145/3672539.3686323
Aikat, V., P. R. Krishnappa Babu, K. L. H. Carpenter, J. M. Di Martino, S. Espinosa, N. Davis, L. Franz, M. Spanos, G. Dawson, and G. Sapiro. “Digital Phenotyping based on a Mobile App Identifies Distinct and Overlapping Features in Children Diagnosed with Autism versus ADHD.” In UIST Adjunct 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024. https://doi.org/10.1145/3672539.3686323.
Aikat V, Krishnappa Babu PR, Carpenter KLH, Di Martino JM, Espinosa S, Davis N, et al. Digital Phenotyping based on a Mobile App Identifies Distinct and Overlapping Features in Children Diagnosed with Autism versus ADHD. In: UIST Adjunct 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology. 2024.
Aikat, V., et al. “Digital Phenotyping based on a Mobile App Identifies Distinct and Overlapping Features in Children Diagnosed with Autism versus ADHD.” UIST Adjunct 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024. Scopus, doi:10.1145/3672539.3686323.
Aikat V, Krishnappa Babu PR, Carpenter KLH, Di Martino JM, Espinosa S, Davis N, Franz L, Spanos M, Dawson G, Sapiro G. Digital Phenotyping based on a Mobile App Identifies Distinct and Overlapping Features in Children Diagnosed with Autism versus ADHD. UIST Adjunct 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology. 2024.
Published In
UIST Adjunct 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology
DOI
Publication Date
October 13, 2024