与数据互动：一种用于工业过程层析成像可视化交互的增强现实方法
Playing with Data: An Augmented Reality Approach to Interact with Visualizations of Industrial Process Tomography
AI总结：
针对增强现实在工业过程层析成像领域的应用缺口，研究提出首个采用光学透视头戴式显示器的系统性AR方法，经20人组内用户研究验证，该方法在可视化分析的多方面表现均优于传统设置。
摘要：
工业过程层析成像（IPT）是一种广泛应用于工业场景中过程监控与控制的专用成像技术。如今，增强/混合现实（AR/MR）正越来越多地被应用于诸多工业场合，但在IPT领域仍存在明显的应用缺口。为填补这一缺口，我们提出了首个采用光学透视（OST）头戴式显示器（HMD）的系统性AR方法，并面向领域用户针对IPT可视化分析开展了对比评估。我们通过一项含20名被试、采用平衡设计的组内用户研究验证了该概念验证方案，同时考察了定性与定量两类测量指标。结果显示，在IPT数据可视化分析方面，我们的AR方法优于传统设置：它提升了可理解性，缩短了任务完成时间，降低了领域任务的错误率，提高了可用性与用户体验，并且获得了更高的推荐度。我们总结了研究发现，并提出了未来借助AR/MR惠及IPT用户的研究方向。
英文摘要：
Industrial process tomography (IPT) is a specialized imaging technique widely used in industrial scenarios for process supervision and control. Today, augmented/mixed reality (AR/MR) is increasingly being adopted in many industrial occasions, even though there is still an obvious gap when it comes to IPT. To bridge this gap, we propose the first systematic AR approach using optical see-through (OST) head mounted displays (HMDs) with comparative evaluation for domain users towards IPT visualization analysis. The proof-of-concept was demonstrated by a within-subject user study (n=20) with counterbalancing design. Both qualitative and quantitative measurements were investigated. The results showed that our AR approach outperformed conventional settings for IPT data visualization analysis in bringing higher understandability, reduced task completion time, lower error rates for domain tasks, increased usability with enhanced user experience, and a better recommendation level. We summarize the findings and suggest future research directions for benefiting IPT users with AR/MR.
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。
