![Sample our Education journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5932/TOC-Subject-Sample-2021-Education.jpg"})
ABSTRACT
Virtual reality (VR) technology has shown great potential on intervention of social skills for children with autism spectrum disorder (ASD). This review aimed to review the application of VR in current social skills intervention targeting autistic children and evaluate its effect. After searching and screening three databases, we found 20 papers on interventions for children with ASD using VR technology, including three studies of social communication, six studies about social–emotional reciprocity, nine studies on social interaction, and eight studies of on social cognition. First, concerning the age of the children involved in the interventions, we found that VR devices were more suitable for children with ASD who were older. Second, regarding VR devices, we recommend laptop VR devices based on the cost, non-invasiveness, and effectiveness of their use in interventions. The VR application form of game is more advisable. More importantly, for the design of the VR intervention, based on the adoption article, we found that using a single participant worked better. This research presents the overall effects and limitations of this literature as well as implications for future work.
Acknowledgements
This work was supported by the National Natural Science Foundation (grant number 61977027), the Science & Technology Major Project of Hubei Province (Next-Generation AI Technologies, No. 2021BEA159).
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
Funding
Notes on contributors
Jingying Chen
Jingying Chen, D., Professor. Affiliation: National Engineering Research Center for E-Learning & National Engineering Laboratory for Educational Big Data, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China. Research Direction: Computer vision, Artificial Intelligence, human-computer interaction, machine learning, special education. E-mail: [email protected]
Junlin Hu
Junlin Hu, Master Candidate. Affiliation: National Engineering Research Center for E-Learning & National Engineering Laboratory for Educational Big Data, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China. Research Direction: Artificial Intelligence, special education, intelligence assessment and intervention for children with autism. E-mail: [email protected]
Kun Zhang
Kun Zhang, D. in Engineering, Associate Professor. Affiliation: National Engineering Research Center for E-Learning & National Engineering Laboratory for Educational Big Data, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China. Research Direction: Special education informatization, intelligence assessment and intervention for children with autism. E-mail: [email protected]
Xiao Zeng
Xiao Zeng, Master Candidate. Affiliation: National Engineering Research Center for E-Learning & National Engineering Laboratory for Educational Big Data, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China. Research Direction: Electronic and information engineering, intelligence assessment and intervention for children with autism. E-mail: [email protected]
Yuhao Ma
Yuhao Ma, Master Candidate. Affiliation: National Engineering Research Center for E-Learning & National Engineering Laboratory for Educational Big Data, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China. Research Direction: Electronic and information engineering, intelligence assessment and intervention for children with autism. E-mail: [email protected]
Wenrui Lu
Wenrui Lu. Master Candidate. Affiliation: National Engineering Research Center for E-Learning & National Engineering Laboratory for Educational Big Data, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China. Research Direction: Electronic and information engineering, artificial Intelligence. E-mail: [email protected]
Kai Zhang
Kai Zhang, Master. Affiliation: National Engineering Research Center for E-Learning & National Engineering Laboratory for Educational Big Data, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China. Research Direction: Electronic and information engineering, intelligence assessment and intervention for children with autism. E-mail: [email protected]
Guangshuai Wang
Guangshuai Wang, Dr. Affiliation: Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China; School of Computer Science, Wuhan University, Wuhan, China. Research Direction: Artificial Intelligence, special education, intelligence assessment and intervention for children with autism. E-mail: [email protected]