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.

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行为。现有的干预方法存在局限性，例如治疗周期长、实施起来需要更方便等。扩展现实 (XR) 技术提供虚拟环境来增强儿童的社交、沟通和自我调节技能。本文比较了XR理论模型、应用实例和干预效果。研究表明，XR干预疗法主要基于认知康复、教学和社会情绪学习理论。它利用算法、模型、人工智能（AI）、眼动追踪等技术进行交互，实现多样化的干预结果。参与者使用基于 XR 的多模式交互平台有效改善了能力障碍。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与AI相结合的多系统交互技术，优化模型，优先发展MR干预场景，维持最佳干预水平。