The paper introduces an innovative approach to industrial maintenance leveraging augmented reality (AR) technology, focusing on enhancing the user experience and efficiency. The shift from traditional to proactive maintenance strategies underscores the significance of maintenance in industrial systems. The proposed solution integrates AR interfaces, particularly through Head-Mounted Display (HMD) devices, to provide expert personnel-aided decision support for maintenance technicians, with the association of Artificial Intelligence (AI) solutions. The study explores the user experience aspect of AR interfaces in a simulated industrial environment, aiming to improve the maintenance processes' intuitiveness and effectiveness. Evaluation metrics such as the NASA Task Load Index (NASA-TLX) and the System Usability Scale (SUS) are employed to assess the usability, performance, and workload implications of the AR maintenance system. Additionally, the paper discusses the technical implementation, methodology, and results of experiments conducted to evaluate the effectiveness of the proposed solution.

翻译：本文提出了一种利用增强现实（AR）技术进行工业维护的创新方法，重点关注用户体验与效率的提升。从传统维护策略向主动式维护策略的转变，突显了维护工作在工业系统中的重要性。所提出的解决方案整合了AR界面（特别是通过头戴式显示器设备），结合人工智能（AI）解决方案，为维护技术人员提供专家辅助的决策支持。本研究在模拟工业环境中探讨了AR界面的用户体验维度，旨在提升维护流程的直观性与有效性。研究采用NASA任务负荷指数量表（NASA-TLX）和系统可用性量表（SUS）等评估指标，对AR维护系统的可用性、性能及工作负荷影响进行量化评估。此外，本文还讨论了为评估该方案有效性所开展实验的技术实现、方法论及实验结果。