Multiple Coordinated Views at Large Displays for Multiple Users: Empirical Findings on User Behavior, Movements, and Distances

Multiple Coordinated Views at Large Displays for Multiple Users: Empirical Findings on User Behavior, Movements, and Distances
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DOI:
10.1109/tvcg.2018.2865235
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发表时间:
2019-01
影响因子:
5.2
通讯作者:
Ricardo Langner;Ulrike Kister;Raimund Dachselt
Ricardo Langner;Ulrike Kister;Raimund Dachselt
中科院分区:
计算机科学1区
文献类型:
--
作者:
Ricardo Langner;Ulrike Kister;Raimund Dachselt

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交互式墙壁大小的显示器有利于数据可视化。由于其庞大的显示尺寸,它们可以在多个协调视图(MCV)中显示大量数据,并促进协作数据分析。在这项工作中,我们提出了一组重要的设计考虑因素,并为MCV功能提供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,其中包含超过45个协调视图,用于可视化真实世界的犯罪活动多元数据集,我们将其用于全面的定性用户研究,调查成对用户的行为。最重要的是,我们发现灵活的运动是必不可少的,并且取决于用户的目标,它与协作、感知和交互有关。因此,我们认为未来的系统需要远程交互,并且需要良好的支持。我们展示了我们在大型显示器上的直接触摸和使用手机的远程交互的一致设计,使得在墙壁大小的显示器上无缝探索大型MCV。我们的MCV应用程序建立在设计方面,如简单性,灵活性和视觉一致性,因此,支持现实的工作流程。我们相信,在未来,许多可视化数据分析场景将受益于墙壁大小的显示,呈现许多协调的可视化,我们的研究结果为其提供了有价值的基础。
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.