Hoppenstedt Burkhard, Probst Thomas, Reichert Manfred, Schlee Winfried, Kammerer Klaus, Spiliopoulou Myra, Schobel Johannes, Winter Michael, Felnhofer Anna, Kothgassner Oswald D, Pryss Rüdiger
Institute of Databases and Information Systems, Ulm University.
Department for Psychotherapy and Biopsychosocial Health, Danube University Krems.
J Vis Exp. 2020 Oct 6(164). doi: 10.3791/61349.
In medicine or industry, the analysis of high-dimensional data sets is increasingly required. However, available technical solutions are often complex to use. Therefore, new approaches like immersive analytics are welcome. Immersive analytics promise to experience high-dimensional data sets in a convenient manner for various user groups and data sets. Technically, virtual-reality devices are used to enable immersive analytics. In Industry 4.0, for example, scenarios like the identification of outliers or anomalies in high-dimensional data sets are pursued goals of immersive analytics. In this context, two important questions should be addressed for any developed technical solution on immersive analytics: First, is the technical solutions being helpful or not? Second, is the bodily experience of the technical solution positive or negative? The first question aims at the general feasibility of a technical solution, while the second one aims at the wearing comfort. Extant studies and protocols, which systematically address these questions are still rare. In this work, a study protocol is presented, which mainly investigates the usability for immersive analytics in Industry 4.0 scenarios. Specifically, the protocol is based on four pillars. First, it categorizes users based on previous experiences. Second, tasks are presented, which can be used to evaluate the feasibility of the technical solution. Third, measures are presented, which quantify the learning effect of a user. Fourth, a questionnaire evaluates the stress level when performing tasks. Based on these pillars, a technical setting was implemented that uses mixed reality smartglasses to apply the study protocol. The results of the conducted study show the applicability of the protocol on the one hand and the feasibility of immersive analytics in Industry 4.0 scenarios on the other. The presented protocol includes a discussion of discovered limitations.
在医学或工业领域，对高维数据集的分析需求日益增长。然而，现有的技术解决方案通常使用起来很复杂。因此，诸如沉浸式分析这样的新方法受到欢迎。沉浸式分析有望为不同用户群体和数据集以方便的方式体验高维数据集。从技术上讲，虚拟现实设备被用于实现沉浸式分析。例如，在工业4.0中，诸如识别高维数据集中的异常值或异常情况等场景是沉浸式分析所追求的目标。在这种背景下，对于任何开发的沉浸式分析技术解决方案，都应解决两个重要问题：第一，该技术解决方案是否有帮助？第二，该技术解决方案给身体带来的体验是积极的还是消极的？第一个问题针对技术解决方案的总体可行性，而第二个问题针对佩戴舒适度。系统地解决这些问题的现有研究和方案仍然很少。在这项工作中，提出了一种研究方案，该方案主要研究工业4.0场景中沉浸式分析的可用性。具体而言，该方案基于四个支柱。第一，根据以往经验对用户进行分类。第二，提出任务，可用于评估技术解决方案的可行性。第三，提出措施，量化用户的学习效果。第四，通过问卷调查评估执行任务时的压力水平。基于这些支柱，实施了一种技术设置，该设置使用混合现实智能眼镜来应用该研究方案。所进行的研究结果一方面表明了该方案的适用性，另一方面表明了沉浸式分析在工业4.0场景中的可行性。所提出的方案包括对发现的局限性的讨论。
