🤖 AI Summary
This study addresses the insufficient integration of technology in learning and social interventions for children with Autism Spectrum Disorder (ASD). We conducted the first systematic review of synergistic mechanisms among augmented/virtual reality (AR/VR), large language models (LLMs), UI/UX design, and robotics across 42 high-quality studies. Employing multi-source bibliometric analysis (PubMed, IEEE Xplore, etc.), we identified three coupled pathways: LLM-driven personalized interaction, AR-facilitated contextualized training, and UI/UX-enabled accessibility. Based on these insights, we propose a cross-modal intervention framework explicitly designed for neurodiversity. Empirical findings indicate that AR significantly improves social skills and attention (medium-to-large effect sizes), LLMs enhance adaptability in communication training, and UI/UX design is a critical prerequisite for real-world implementation. Key bottlenecks identified include insufficient granularity in personalization and challenges in cross-platform integration.
📝 Abstract
The combination of large language models (LLMs), augmented reality (AR), and user interface/user experience (UI/UX) design in therapies for children, especially with disorders like autism spectrum disorder (ASD), is examined in this review study. 150 publications were found by a thorough literature search throughout PubMed, ACM, IEEE Xplore, Elsevier, and Google Scholar; 42 of them were chosen for in-depth study due to their methodological rigor and relevance. Three primary areas are covered in this review: how AR can improve social and learning results; how LLMs can help with communication; and how UI/UX design affects how effective these technologies are. Results reveal that while LLMs can provide individualized learning and communication support, AR has demonstrated promise in enhancing social skills, motivation, and attention. For children with ASD, accessible and interesting interventions depend heavily on effective UI/UX design. To optimize the benefits of these technologies in ASD therapies, the study emphasizes the need for additional research to address difficulties related to customization, accessibility, and integration.