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Assessing Social Communication and Collaboration in Autism Spectrum Disorder Using Intelligent Collaborative Virtual Environments

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Abstract

Existing literature regarding social communication outcomes of interventions in autism spectrum disorder (ASD) depends upon human raters, with limited generalizability to real world settings. Technological innovation, particularly virtual reality (VR) and collaborative virtual environments (CVE), could offer a replicable, low cost measurement platform when endowed with intelligent agent technology and peer-based interactions. We developed and piloted a novel collaborative virtual environment and intelligent agent (CRETA) for the assessment of social communication and collaboration within system and peer interactions. The system classified user statements with moderate to high accuracies. We found moderate to high agreement in displayed communication and collaboration skills between human–human and human–agent interactions. CRETA offers a promising avenue for future development of autonomous measurement systems for ASD research.

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Funding

This project was funded by the National Institutes of Health (1R21MH111548-01).

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LZ, AW, ZW, and NS conceived of the study and crafted the experimental design. LZ, NS, and ZW helped design the CVE procedure. LZ, ZW, and AS provided oversight of study implementation across Vanderbilt sites. LZ, AA, and AS assisted with data collection and analysis for manuscript preparation. LZ, AW, AA, ZW, and NS significantly participated in drafting the article, revising it critically, and providing final approval of the manuscript. All authors are in agreement with accountability for all aspects of the work.

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Correspondence to Amy S. Weitlauf.

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Zhang, L., Weitlauf, A.S., Amat, A.Z. et al. Assessing Social Communication and Collaboration in Autism Spectrum Disorder Using Intelligent Collaborative Virtual Environments. J Autism Dev Disord 50, 199–211 (2020). https://doi.org/10.1007/s10803-019-04246-z

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