Langner Ricardo, Kister Ulrike, Dachselt Raimund
IEEE Trans Vis Comput Graph. 2018 Aug 20. doi: 10.1109/TVCG.2018.2865235.
Interactive wall-sized displays benefit data visualization. Due to their sheer display size, they make it possible to show large amounts of data in multiple coordinated views (MCV) and facilitate collaborative data analysis. In this work, we propose a set of important design considerations and contribute a fundamental input vocabulary and interaction mapping for MCV functionality. We also developed a fully functional application with more than 45 coordinated views visualizing a real-world, multivariate data set of crime activities, which we used in a comprehensive qualitative user study investigating how pairs of users behave. Most importantly, we found that flexible movement is essential and-depending on user goals-is connected to collaboration, perception, and interaction. Therefore, we argue that for future systems interaction from the distance is required and needs good support. We show that our consistent design for both direct touch at the large display and distant interaction using mobile phones enables the seamless exploration of large-scale MCV at wall-sized displays. Our MCV application builds on design aspects such as simplicity, flexibility, and visual consistency and, therefore, supports realistic workflows. We believe that in the future, many visual data analysis scenarios will benefit from wall-sized displays presenting numerous coordinated visualizations, for which our findings provide a valuable foundation.
交互式墙面大小的显示屏有利于数据可视化。由于其巨大的显示尺寸，它们能够以多个协同视图（MCV）展示大量数据，并便于进行协作式数据分析。在这项工作中，我们提出了一系列重要的设计考量，并为MCV功能贡献了一个基本的输入词汇表和交互映射。我们还开发了一个功能齐全的应用程序，它具有超过45个协同视图，用于可视化一个关于犯罪活动的真实世界多变量数据集，我们在一项全面的定性用户研究中使用了该数据集，以调查用户对如何行为。最重要的是，我们发现灵活移动至关重要，并且根据用户目标，它与协作、感知和交互相关联。因此，我们认为未来的系统需要支持远距离交互。我们表明，我们针对大型显示屏上的直接触摸和使用手机进行远距离交互的一致设计，能够实现对墙面大小显示屏上的大规模MCV进行无缝探索。我们的MCV应用程序基于简单性、灵活性和视觉一致性等设计方面构建，因此支持实际的工作流程。我们相信，未来许多视觉数据分析场景将受益于墙面大小的显示屏呈现众多协同可视化效果，我们的研究结果为此提供了宝贵的基础。
