利用大规模虚拟装配实验量化XR视觉引导对用户表现的影响
Quantifying the Impact of XR Visual Guidance on User Performance Using a Large-Scale Virtual Assembly Experiment
AI总结：
本研究通过199人参与的大规模虚拟装配实验，证明XR视觉引导可将任务完成时间和错误减少超过50%，并探讨了认知负荷等因素，为工业应用提供实践指导。
摘要：
视觉引导与扩展现实（XR）技术的结合，有望在众多领域，尤其是工业环境中，显著提升人类工作者的表现。本研究聚焦虚拟装配任务，并利用不同形式的辅助可视化，探讨XR视觉引导的潜力。实验设置在一个基于网页的沉浸式环境中，结果来自199名异质性参与者。本研究的设计与以往探索性研究有显著不同，此前研究在用户表现及相关人因方面得出了相互矛盾的结果。我们的结果清楚表明，XR视觉引导具有优势，任务完成时间和错误次数均减少超过50%；通过特定框架以及其他形式的可视化/视觉引导，这一效果还可能得到进一步增强和优化。本文还讨论了认知负荷、动机和可用性等其他因素的作用，并力求为未来研究提供具体路径，同时为从业者提供可操作的实践启示。
英文摘要：
The combination of Visual Guidance and Extended Reality (XR) technology holds the potential to greatly improve the performance of human workforces in numerous areas, particularly industrial environments. Focusing on virtual assembly tasks and making use of different forms of supportive visualisations, this study investigates the potential of XR Visual Guidance. Set in a web-based immersive environment, our results draw from a heterogeneous pool of 199 participants. This research is designed to significantly differ from previous exploratory studies, which yielded conflicting results on user performance and associated human factors. Our results clearly show the advantages of XR Visual Guidance based on an over 50\% reduction in task completion times and mistakes made; this may further be enhanced and refined using specific frameworks and other forms of visualisations/Visual Guidance. Discussing the role of other factors, such as cognitive load, motivation, and usability, this paper also seeks to provide concrete avenues for future research and practical takeaways for practitioners.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
