The Nexus of AR/VR, Large Language Models, UI/UX, and Robotics Technologies in Enhancing Learning and Social Interaction for Children: A Systematic Review
<|reference_start|>The Nexus of AR/VR, Large Language Models, UI/UX, and Robotics Technologies in Enhancing Learning and Social Interaction for Children: A Systematic Review: 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.<|reference_end|>
@article{paneru2024the,
    title={The Nexus of AR/VR, Large Language Models, UI/UX, and Robotics
  Technologies in Enhancing Learning and Social Interaction for Children: A
  Systematic Review},
    author={Biplov Paneru, Bishwash Paneru},
    journal={arXiv preprint arXiv:2409.18162},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.18162},
    primaryClass={cs.HC cs.AI cs.SI}
}