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Automated Video Tracking of Autistic Children’s Movement During Caregiver-Child Interaction: An Exploratory Study

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Abstract

Objective, quantitative measures of caregiver-child interaction during play are needed to complement caregiver or examiner ratings for clinical assessment and tracking intervention responses. In this exploratory study, we examined the feasibility of using automated video tracking, Noldus EthoVision XT, to measure 159 2-to-7-year-old autistic children’s patterns of movement during play-based, caregiver-child interactions and examined their associations with standard clinical measures and human observational coding of caregiver-child joint engagement. Results revealed that autistic children who exhibited higher durations and velocity of movement were, on average, younger, had lower cognitive abilities, greater autism-related features, spent less time attending to the caregiver, and showed lower levels of joint engagement. After adjusting for age and nonverbal cognitive abilities, we found that children who remained in close proximity to their caregiver were more likely to engage in joint engagement that required support from the caregiver. These findings suggest that video tracking offers promise as a scalable, quantitative, and relevant measure of autism-related behaviors.

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Acknowledgements

We would like to thank the Marcus Foundation for their financial support of this project, the children and families who participated, and the following members of the Duke Center for Autism and Brain Development: Mallory Harris, Abby Scheer, Gordon Keeler, and all the research support staff, especially Toni Howell, Bailey Heit, and Alexandra Kandah.

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The Marcus Foundation.

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Contributions

Alexandra Bey: Conceptualization, Methodology, Investigation, Writing- Original Draft Preparation; Maura Sabatos-DeVito: Conceptualization, Methodology, Investigation, Writing- Review & Editing; Kimberly Carpenter: Investigation; Lauren Franz: Investigation; Jill Howard: Investigation; Saritha Vermeer: Investigation; Ryan Simmons: Formal Analysis; Jesse Troy: Methodology, Formal Analysis, Writing- Review & Editing; Geraldine Dawson: Supervision, Funding Acquisition, Writing- Review & Editing. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Geraldine Dawson.

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Conflict of Interest

Dr. Dawson is on the Scientific Advisory Boards of Akili Interactive, Inc, Zynerba, Nonverbal Learning Disability Project, and Tris Pharma, is a consultant to Apple, Gerson Lehrman Group, and Guidepoint Global, Inc., and receives book royalties from Guilford Press and Springer Nature. Dr. Dawson has stock interests in Neuvana, Inc. Dr. Dawson and Dr. Troy have developed technology, data, and/or products that have been licensed to Apple, Inc. and Cryocell, Inc. and Dawson and Duke University have benefited financially. Dr. Troy also has stock interest in NeurOp, Inc. and receives consulting fees from AegisCN, LLC. Dr. Troy also serves on Data and Safety Monitoring Boards for Synthetic Biologics, Inc. and The National Institutes of Health (NIH) and he receives honoraria from The Emmes Corporation and Navitas Clinical Research. Dr. Sabatos-DeVito consults with and received personal fees from New Frontiers. For the remaining authors none were declared.

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Bey, A.L., Sabatos-DeVito, M., Carpenter, K.L. et al. Automated Video Tracking of Autistic Children’s Movement During Caregiver-Child Interaction: An Exploratory Study. J Autism Dev Disord (2023). https://doi.org/10.1007/s10803-023-06107-2

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