The Application of Extended Reality in Treating Children with Autism Spectrum Disorder
作者机构：First Clinical Medical CollegeAnhui Medical UniversityHefei 230032China School of Biomedical EngineeringAnhui Medical UniversityHefei 230032China School of Mental Health and Psychological SciencesAnhui Medical UniversityChinaHefei 230032China Research Center for Translational MedicineThe Second Hospital of Anhui Medical UniversityHefei 230000China Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefei 230032China Collaborative Innovation Center of Neuropsychiatric Disorders and Mental HealthHefei 230032China Institute of Artificial IntelligenceHefei Comprehensive National Science CenterHefei 230088China Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefei 230032China
出 版 物：《Neuroscience Bulletin》 (神经科学通报（英文版）)
年 卷 期：2024年第40卷第8期
页 面：1189-1204页
核心收录：
学科分类：0502[文学-外国语言文学] 050201[文学-英语语言文学] 05[文学] 1001[医学-基础医学(可授医学、理学学位)]
基 金：supported by grants from the National Natural Science Foundation of China(82301735) The University Synergy Innovation Program of Anhui Province(GXXT-2021-003) The Basic and Clinical Collaborative Research Enhancement Programme of Anhui Medical University(2022xkjT016)
主 题：Autism spectrum disorde Extended reality Multimodal interaction technologies Intervention model Treatment effectiveness evaluation
摘 要：Autism Spectrum Disorder(ASD)is a common neurodevelopmental disorder in children,characterized by social interaction,communication difficulties,and repetitive and stereotyped *** intervention methods have limitations,such as requiring long treatment periods and needing to be more convenient to *** Reality(XR)technology offers a virtual environment to enhance children s social,communication,and self-regulation *** paper compares XR theoretical models,application examples,and intervention *** study reveals that XR intervention therapy is mainly based on cognitive rehabilitation,teaching,and social-emotional learning *** utilizes algorithms,models,artificial intelligence(AI),eye-tracking,and other technologies for interaction,achieving diverse intervention *** showed effective improvement in competency barriers using XR-based multimodal interactive ***,Mixed Reality(MR)technology still requires further *** research should explore multimsodal interaction technologies combining XR and AI,optimize models,prioritize the development of MR intervention scenarios,and sustain an optimal intervention level.
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