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Development and Application of a Metaverse-Based Social Skills Training Program for Children With Autism Spectrum Disorder to Improve Social Interaction: Protocol for a Randomized Controlled Trial

Authors
 JooHyun Lee  ;  Tae Seon Lee  ;  SeungWoo Lee  ;  JiHye Jang  ;  SuYoung Yoo  ;  YeJin Choi  ;  Yu Rang Park 
Citation
 JMIR RESEARCH PROTOCOLS, Vol.11(6) : e35960, 2022-06 
Journal Title
JMIR RESEARCH PROTOCOLS
Issue Date
2022-06
Keywords
ASD ; Autism ; RCT ; Roblox ; biometric ; child ; communication ; development ; digital technology ; digital therapy ; eHealth ; emotional change ; human interaction ; metaverse ; mhealth ; online platform ; social interaction ; social skill ; social skills ; stress ; wearable ; youth
Abstract
Background: Autism spectrum disorder (ASD) is characterized by abnormalities in social communication and limited and repetitive behavioral patterns. Children with ASD who lack social communication skills will eventually not interact with others and will lack peer relationships when compared to ordinary people. Thus, it is necessary to develop a program to improve social communication abilities using digital technology in people with ASD.

Objective: We intend to develop and apply a metaverse-based child social skills training program aimed at improving the social interaction abilities of children with ASD aged 7-12 years. We plan to compare and analyze the biometric information collected through wearable devices when applying the metaverse-based social skills training program to evaluate emotional changes in children with ASD in stressful situations.

Methods: This parallel randomized controlled study will be conducted on children aged 7-12 years diagnosed with ASD. A metaverse-based social skills training program using digital technology will be administered to children who voluntarily wish to participate in the research with consent from their legal guardians. The treatment group will participate in the metaverse-based social skills training program developed by this research team once a week for 60 minutes per session for 4 weeks. The control group will not intervene during the experiment. The treatment group will use wearable devices during the experiment to collect real-time biometric information.

Results: The study is expected to recruit and enroll participants in March 2022. After registering the participants, the study will be conducted from March 2022 to May 2022. This research will be jointly conducted by Yonsei University and Dobrain Co Ltd. Children participating in the program will use the internet-based platform.

Conclusions: The metaverse-based Program for the Education and Enrichment of Relational Skills (PEERS) will be effective in improving the social skills of children with ASD, similar to the offline PEERS program. The metaverse-based PEERS program offers excellent accessibility and is inexpensive because it can be administered at home; thus, it is expected to be effective in many children with ASD. If a method can be applied to detect children's emotional changes early using biometric information collected through wearable devices, then emotional changes such as anxiety and anger can be alleviated in advance, thus reducing issues in children with ASD.

Trial registration: Clinical Research Information Service KCT0006859; https://tinyurl.com/4r3k7cmj.

International registered report identifier (irrid): PRR1-10.2196/35960.
Files in This Item:
T202205177.pdf Download
DOI
10.2196/35960
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
Yonsei Authors
Park, Yu Rang(박유랑) ORCID logo https://orcid.org/0000-0002-4210-2094
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/191565
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