安徽医科大学第二医院Dandan Li及其团队成员近期取得重要工作进展，他们研究提出了扩展现实在儿童自闭症谱系障碍治疗中的应用前景。相关研究成果2024年3月18日在线发表于《神经科学通报》杂志上。

据介绍，自闭症谱系障碍（ASD）是一种常见的儿童神经发育障碍，其特征是社交互动、沟通困难以及重复和刻板的行为。现有的干预方法具有局限性，例如需要较长的治疗期，需要更方便地实施。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。

研究人员比较了XR的理论模型、应用实例和干预效果。研究表明，XR干预治疗主要基于认知康复、教学和社会情绪学习理论。它利用算法、模型、人工智能（AI）、眼动追踪和其它技术进行交互，实现不同的干预结果。参与者使用基于XR的多模式互动平台，展示了能力障碍的有效改善。

然而，混合现实（MR）技术仍需要进一步发展。未来的研究应探索XR和AI相结合的多目标交互技术，优化模型，优先开发MR干预场景，并保持最佳干预水平。

附：英文原文

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

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

Issue&Volume: 2024-03-18

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.

DOI: 10.1007/s12264-024-01190-6

Source: https://link.springer.com/article/10.1007/s12264-024-01190-6