Validation of Wearable Sensor Technology to Measure Social Proximity of Young Children With Autism Spectrum Disorders

Author:

Douglas Sarah N.1ORCID,Shi Yan1,Das Saptarshi1,Biswas Subir1

Affiliation:

1. Michigan State University, East Lansing, USA

Abstract

Children with autism spectrum disorders (ASD) struggle to develop appropriate social skills, which can lead to later social rejection, isolation, and mental health concerns. Educators play an important role in supporting and monitoring social skills development for children with ASD, but the tools used by educators are often tedious, lack suitable sensitivity, provide limited information to plan interventions, and are time-consuming. Therefore, we conducted a study to evaluate the use of a sensor system to measure social proximity between three children with ASD and their peers in an inclusive preschool setting. We compared video-coded data with sensor data using point-by-point agreement to measure the accuracy of the sensor system. Results suggest that the sensor system can adequately measure social proximity between children with ASD and their peers. The next steps for sensor system validation are discussed along with clinical and educational implications, limitations, and future research directions.

Funder

Michigan State University’s Center for Research in Autism and Neurodevelopmental Research

Publisher

SAGE Publications

Subject

Psychiatry and Mental health,Cognitive Neuroscience,Neurology (clinical),Neurology,Pediatrics, Perinatology and Child Health

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