Sequence Braiding: Visual Overviews of Temporal Event Sequences and Attributes
Sequence Braiding: Visual Overviews of Temporal Event Sequences and Attributes
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DOI：
10.1109/tvcg.2020.3030442
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发表时间：
2020-09
影响因子：
5.2
通讯作者：
Sara Di Bartolomeo;Yixuan Zhang;Fangfang Sheng;Cody Dunne
中科院分区：
文献类型：
--
作者：
Sara Di Bartolomeo;Yixuan Zhang;Fangfang Sheng;Cody Dunne
时间事件序列比对已被用于许多领域，以可视化随时间的细微变化和相互作用。现有的方法将一个或两个前哨事件对齐。概览任务需要使用交互和时间或许多可视化的并列来检查所有感兴趣的对齐。此外，任何事件属性概述都与序列可视化没有紧密联系。我们提出了序列编织，一种新的概述可视化的时间事件序列和属性使用分层有向无环网络。Sequence Braiding可同时在视觉上对齐多个时态事件和属性组，并支持事件的任意排序、缺失和重复。在一个对照实验中，我们比较了序列编织和用户任务完成时间，正确性，错误，和信心的IDMVis。我们的研究结果提供了很好的证据，表明序列编织的用户可以更快地理解高级模式和趋势，并且具有类似的错误。本文的完整版本及其所有附录、评估激励、数据和分析代码以及源代码可在$\text{osf.io}/\mathrm{mq}2\mathrm{wt}$上获得。
Temporal event sequence alignment has been used in many domains to visualize nuanced changes and interactions over time. Existing approaches align one or two sentinel events. Overview tasks require examining all alignments of interest using interaction and time or juxtaposition of many visualizations. Furthermore, any event attribute overviews are not closely tied to sequence visualizations. We present Sequence Braiding, a novel overview visualization for temporal event sequences and attributes using a layered directed acyclic network. Sequence Braiding visually aligns many temporal events and attribute groups simultaneously and supports arbitrary ordering, absence, and duplication of events. In a controlled experiment we compare Sequence Braiding and IDMVis on user task completion time, correctness, error, and confidence. Our results provide good evidence that users of Sequence Braiding can understand high-level patterns and trends faster and with similar error. A full version of this paper with all appendices; the evaluation stimuli, data, and analysis code; and source code are available at $\text{osf.io}/\mathrm{mq}2\mathrm{wt}$.