Computer Vision Analysis of Caregiver–Child Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report.

We report preliminary results of computer vision analysis of caregiver–child interactions during free play with children diagnosed with autism (N = 29, 41–91 months), attention-deficit/hyperactivity disorder (ADHD, N = 22, 48–100 months), or combined autism + ADHD (N = 20, 56–98 months), and neuroty...

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Detalles Bibliográficos
Publicado en:Journal of Autism & Developmental Disorders Vol. 54; no. 6; pp. 2286 - 2298
Autores principales: Isaev, Dmitry Yu., Sabatos-DeVito, Maura, Di Martino, J. Matias, Carpenter, Kimberly, Aiello, Rachel, Compton, Scott, Davis, Naomi, Franz, Lauren, Sullivan, Connor, Dawson, Geraldine, Sapiro, Guillermo
Formato: pictorial research tables/charts Journal Article
Publicado: Springer Nature Jun2024
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:We report preliminary results of computer vision analysis of caregiver–child interactions during free play with children diagnosed with autism (N = 29, 41–91 months), attention-deficit/hyperactivity disorder (ADHD, N = 22, 48–100 months), or combined autism + ADHD (N = 20, 56–98 months), and neurotypical children (NT, N = 7, 55–95 months). We conducted micro-analytic analysis of 'reaching to a toy,' as a proxy for initiating or responding to a toy play bout. Dyadic analysis revealed two clusters of interaction patterns, which differed in frequency of 'reaching to a toy' and caregivers' contingent responding to the child's reach for a toy by also reaching for a toy. Children in dyads with higher caregiver responsiveness had less developed language, communication, and socialization skills. Clusters were not associated with diagnostic groups. These results hold promise for automated methods of characterizing caregiver responsiveness in dyadic interactions for assessment and outcome monitoring in clinical trials.