Flowdashboard: authoring pandemic dashboards with a transparent flow model

IF 1.7 4区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Visualization Pub Date : 2024-05-02 DOI:10.1007/s12650-024-00994-y

Guijuan Wang, Yadong Wu, Jiansong Wang, Hao Guo, Weixin Zhao, Changwei Luo, Lu Tong

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Abstract

Data dashboards with intuitive visualizations make information more accessible and provide a more in-depth explanation. They have emerged as a crucial tool for effectively communicating pandemic information to wide-ranging audiences. However, the urgency and high-impact nature of pandemics requires rapid and trustworthy dashboard creation. Studies shown that information transparency plays a pivotal role in building trust. Therefore, in this paper, we present FlowDashboard, a domain-specific visualization framework that enables users to create pandemic dashboards quickly and transparently. Our design for FlowDashboard is guided by qualitative analysis of 207 practical pandemic dashboards. Based on the identified key requirements of speed and transparency, a novel transparent flow model called TransFlow is proposed as the core dashboard creation approach. This model formalizes intuitive flow diagram design to construct interactive dashboards, making it easy to learn and revealing the underlying data and interaction flows at property level. Additionally, the FlowDashboard framework accommodates all common components used in practical pandemic dashboards, and incorporate the pandemic gallery as an interface to facilitate users quickly learning the design space. Through use cases, user study and comparisons to state-of-the-art works, we demonstrate the usability and effectiveness of our framework.

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Flowdashboard：利用透明流程模型制作大流行病仪表盘

摘要直观可视化的数据仪表盘使信息更容易获取，并提供更深入的解释。它们已成为向广大受众有效传达大流行病信息的重要工具。然而，大流行病的紧迫性和高影响性要求快速创建值得信赖的仪表盘。研究表明，信息透明度在建立信任方面发挥着关键作用。因此，我们在本文中介绍了 FlowDashboard，这是一个针对特定领域的可视化框架，可帮助用户快速、透明地创建大流行病仪表盘。我们对 207 个实用的大流行病仪表盘进行了定性分析，并以此为指导设计了 FlowDashboard。根据确定的速度和透明度关键要求，我们提出了一种名为 TransFlow 的新型透明流程模型，作为仪表盘创建的核心方法。该模型将直观的流程图设计形式化，以构建交互式仪表盘，使其易于学习，并在属性层面揭示底层数据和交互流。此外，FlowDashboard 框架容纳了实际大流行病仪表盘中使用的所有常用组件，并将大流行病图库作为界面，方便用户快速了解设计空间。通过使用案例、用户研究以及与最先进作品的比较，我们展示了我们框架的可用性和有效性。

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来源期刊

Journal of Visualization COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

CiteScore

3.40

自引率

5.90%

发文量

审稿时长

>12 weeks

期刊介绍： Visualization is an interdisciplinary imaging science devoted to making the invisible visible through the techniques of experimental visualization and computer-aided visualization. The scope of the Journal is to provide a place to exchange information on the latest visualization technology and its application by the presentation of latest papers of both researchers and technicians.