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扩展现实技术在治疗自闭症谱系障碍儿童中的应用

The Application of Extended Reality in Treating Children with Autism Spectrum Disorder.

作者信息

Zhao Weijia, Xu Song, Zhang Yanan, Li Dandan, Zhu Chunyan, Wang Kai

机构信息

First Clinical Medical College, Anhui Medical University, Hefei, 230032, China.

School of Biomedical Engineering, Anhui Medical University, Hefei, 230032, China.

出版信息

Neurosci Bull. 2024 Aug;40(8):1189-1204. doi: 10.1007/s12264-024-01190-6. Epub 2024 Mar 18.

Abstract

Autism Spectrum Disorder (ASD) is a common neurodevelopmental disorder in children, characterized by social interaction, communication difficulties, and repetitive and stereotyped behaviors. Existing intervention methods have limitations, such as requiring long treatment periods and needing to be more convenient to implement. Extended Reality (XR) technology offers a virtual environment to enhance children's social, communication, and self-regulation skills. This paper compares XR theoretical models, application examples, and intervention effects. The study reveals that XR intervention therapy is mainly based on cognitive rehabilitation, teaching, and social-emotional learning theories. It utilizes algorithms, models, artificial intelligence (AI), eye-tracking, and other technologies for interaction, achieving diverse intervention outcomes. Participants showed effective improvement in competency barriers using XR-based multimodal interactive platforms. However, Mixed Reality (MR) technology still requires further development. Future 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.

摘要

自闭症谱系障碍(ASD)是儿童中常见的神经发育障碍,其特征为社交互动、沟通困难以及重复刻板行为。现有的干预方法存在局限性,例如治疗周期长且实施不够便捷。扩展现实(XR)技术提供了一个虚拟环境,以增强儿童的社交、沟通和自我调节技能。本文比较了XR理论模型、应用实例及干预效果。研究表明,XR干预疗法主要基于认知康复、教学和社会情感学习理论。它利用算法、模型、人工智能(AI)、眼动追踪等技术进行交互,实现了多样化的干预效果。使用基于XR的多模态交互平台的参与者在能力障碍方面有了有效改善。然而,混合现实(MR)技术仍需进一步发展。未来的研究应探索结合XR和AI的多模态交互技术,优化模型,优先开发MR干预场景,并维持最佳干预水平。

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