Immersive Virtual Reality Enabled Interventions for Autism Spectrum Disorder: A Systematic Review and Meta-Analysis

Chen Li, Meike Belter, Jing Liu, Heide Lukosch

Research output: Journal article publicationReview articleAcademic researchpeer-review

8 Citations (Scopus)

Abstract

Autism spectrum disorder (ASD) is characterized by persistent deficits in social communication and interaction, which can have significant impacts on daily life, education, and work. Limited performance in learning and working, as well as exclusion from social activities, are common challenges faced by individuals with ASD. Virtual reality (VR) technology has emerged as a promising medium for delivering interventions for ASD. To address five major research questions and understand the latest trends and challenges in this area, a systematic review of 21 journal articles published between 1 January 2010 and 31 December 2022 was conducted using the PRISMA approach. A meta-analysis of 15 articles was further conducted to assess interventional effectiveness. The results showed that most studies focused on social and affective skill training and relied on existing theories and practices with limited adaptations for VR. Furthermore, the enabling technologies’ affordances for the interventional needs of individuals with ASD were not thoroughly investigated. We suggest that future studies should propose and design interventions with solid theoretical foundations, explore more interventional areas besides social and affective skill training, and employ more rigorous experimental designs to investigate the effectiveness of VR-enabled ASD interventions.

Original languageEnglish
Article number2497
JournalElectronics (Switzerland)
Volume12
Issue number11
DOIs
Publication statusPublished - Jun 2023

Keywords

  • autism spectrum disorder
  • immersion
  • immersive learning
  • intervention effectiveness
  • meta-analysis
  • systematic review
  • virtual reality

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Hardware and Architecture
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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