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Lee, Kwangwon; Schertz, Hannah H. – Grantee Submission, 2020
The relationship between turn taking (i.e., back-and-forth preverbal communicative exchanges) and joint attention has not been studied in interactions between children with autism and caregivers. In joint attention, a form of preverbal social communication, young children socially share attention with a partner about objects, a competency that is…
Descriptors: Autism Spectrum Disorders, Attention, Caregivers, Toddlers
D. S. Messinger; L. K. Perry; S. G. Mitsven; Y. Tao; J. Moffitt; R. M. Fasano; S. A. Custode; C. M. Jerry – Grantee Submission, 2022
Audio-visual recording and location tracking produce enormous quantities of digital data with which researchers can document children's everyday interactions in naturalistic settings and assessment contexts. Machine learning and other computational approaches can produce replicable, automated measurements of these big behavioral data. The…
Descriptors: Artificial Intelligence, Computation, Measurement Techniques, Automation
Christopher Lopata; Jonathan D. Rodgers; James P. Donnelly; Marcus L. Thomeer; Jennifer Lodi-Smith; Zoe L. Gionis; Samantha L. Andrew; Christian J. Rajnisz – Grantee Submission, 2021
This study assessed the potential short-term effects of COVID-19 stay-at-home restrictions on ratings of ASD and comorbid symptoms severity and adaptive functioning of 69 youth, ages 8-16 years with ASD without intellectual disability. Parent/caregiver ratings were being collected in fall and spring over approximately two years when the…
Descriptors: COVID-19, Pandemics, Autism Spectrum Disorders, Comorbidity