The Potential of Virtual Reality to Improve Diagnostic Assessment by Boosting Autism Spectrum Disorder Traits: A Systematic Review

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17110%2F25%3AA2603DP0" target="_blank" >RIV/61988987:17110/25:A2603DP0 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/10.1007/s41252-024-00413-1" target="_blank" >https://link.springer.com/10.1007/s41252-024-00413-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s41252-024-00413-1" target="_blank" >10.1007/s41252-024-00413-1</a>

Result language

angličtina

Original language name

The Potential of Virtual Reality to Improve Diagnostic Assessment by Boosting Autism Spectrum Disorder Traits: A Systematic Review

Original language description

ObjectivesWhile studies examining the effectiveness of virtual reality (VR) systems in autism spectrum disorder (ASD) intervention have seen significant growth, research on their application as tools to improve assessment and diagnosis remains limited. This systematic review explores the potential of VR systems in speeding-up and enhancing the assessment process for ASD.MethodsWe conducted a systematic search of peer-reviewed research to identify studies that compared characteristics of autistic and neurotypical participants performing tasks in virtual environments. Pubmed and IEE Xplore databases were searched and screened using predetermined keywords and inclusion criteria related to ASD and virtual reality, resulting in the inclusion of 20 studies.ResultsStudies reviewed revealed that VR technologies may serve as a booster of ASD "traits" that might otherwise go unnoticed when using traditional tools. Specifically, results indicated that ASD individuals exhibited distinct behavioral nuances compared to typically developing participants across four main domains: communication and social interaction skills, cognitive functioning and neurological pattern, sensory and physiological processing, and motor behavior and body movements. Also, recent studies analyzed here underscored the potential of integrating machine learning with VR technologies to enhance accuracy in identifying ASD based on motor behavior, eye gaze, and electrodermal activity.ConclusionsThe integration of VR technologies can complement traditional tools in ASD diagnosis, providing more objective and reliable assessment within a controlled, ecological, and motivating virtual environment. In addition, the reviewed literature suggests machine learning models combined with VR technologies may support phenotypic diagnosis, offering a more refined classification of ASD subgroups within immersive virtual contexts.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30500 - Other medical sciences

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Advances in Neurodevelopmental Disorders

ISSN

2366-7532

e-ISSN

2366-7540

Volume of the periodical

—

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

22

Pages from-to

1-22

UT code for WoS article

001283861100001

EID of the result in the Scopus database

2-s2.0-85200333748