Reipschlager Patrick, Flemisch Tamara, Dachselt Raimund
IEEE Trans Vis Comput Graph. 2021 Feb;27(2):1182-1192. doi: 10.1109/TVCG.2020.3030460. Epub 2021 Jan 28.
In this work we propose the combination of large interactive displays with personal head-mounted Augmented Reality (AR) for information visualization to facilitate data exploration and analysis. Even though large displays provide more display space, they are challenging with regard to perception, effective multi-user support, and managing data density and complexity. To address these issues and illustrate our proposed setup, we contribute an extensive design space comprising first, the spatial alignment of display, visualizations, and objects in AR space. Next, we discuss which parts of a visualization can be augmented. Finally, we analyze how AR can be used to display personal views in order to show additional information and to minimize the mutual disturbance of data analysts. Based on this conceptual foundation, we present a number of exemplary techniques for extending visualizations with AR and discuss their relation to our design space. We further describe how these techniques address typical visualization problems that we have identified during our literature research. To examine our concepts, we introduce a generic AR visualization framework as well as a prototype implementing several example techniques. In order to demonstrate their potential, we further present a use case walkthrough in which we analyze a movie data set. From these experiences, we conclude that the contributed techniques can be useful in exploring and understanding multivariate data. We are convinced that the extension of large displays with AR for information visualization has a great potential for data analysis and sense-making.
在这项工作中,我们提出将大型交互式显示器与个人头戴式增强现实(AR)相结合用于信息可视化,以促进数据探索和分析。尽管大型显示器提供了更多的显示空间,但在感知、有效的多用户支持以及管理数据密度和复杂性方面仍具有挑战性。为了解决这些问题并说明我们提出的设置,我们贡献了一个广泛的设计空间,首先包括AR空间中显示器、可视化和对象的空间对齐。接下来,我们讨论可视化的哪些部分可以增强。最后,我们分析如何使用AR来显示个人视图,以展示额外信息并尽量减少数据分析师之间的相互干扰。基于这一概念基础,我们提出了一些用AR扩展可视化的示例性技术,并讨论它们与我们设计空间的关系。我们进一步描述了这些技术如何解决我们在文献研究中发现的典型可视化问题。为了检验我们的概念,我们引入了一个通用的AR可视化框架以及一个实现多种示例技术的原型。为了展示它们的潜力,我们进一步展示了一个用例演练,其中我们分析了一个电影数据集。从这些经验中,我们得出结论,所提出的技术在探索和理解多变量数据方面可能是有用的。我们相信,用AR扩展大型显示器用于信息可视化在数据分析和意义构建方面具有巨大潜力。