Playing with Data: An Augmented Reality Approach to Interact with Visualizations of Industrial Process Tomography

Yuchong Zhang, Yueming Xuan, Rahul Yadav, Adel Omrani, M. Fjeld
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Abstract

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.
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玩数据:增强现实方法与工业过程断层扫描可视化交互
工业过程断层扫描(IPT)是一种专门的成像技术,广泛应用于工业场景的过程监督和控制。今天,增强/混合现实(AR/MR)越来越多地应用于许多工业场合,尽管在IPT方面仍然存在明显的差距。为了弥补这一差距,我们提出了第一个系统的AR方法,使用光学透明(OST)头戴式显示器(hmd),并对领域用户进行IPT可视化分析的比较评估。采用平衡设计的主题内用户研究(n=20)验证了概念验证。研究了定性和定量测量方法。结果表明,我们的AR方法优于IPT数据可视化分析的传统设置,带来了更高的可理解性,减少了任务完成时间,降低了领域任务的错误率,提高了用户体验的可用性,并提供了更好的推荐级别。我们总结了研究结果,并提出了未来的研究方向,以使IPT用户受益于AR/MR。
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