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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30500 - Other medical sciences

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Advances in Neurodevelopmental Disorders

ISSN

2366-7532

e-ISSN

2366-7540

Svazek periodika

—

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

22

Strana od-do

1-22

Kód UT WoS článku

001283861100001

EID výsledku v databázi Scopus

2-s2.0-85200333748