Yao Lijie
IEEE Comput Graph Appl. 2024 Nov-Dec;44(6):142-150. doi: 10.1109/MCG.2024.3462129.
We define visualization in motion and make several contributions to how to visualize and design situated visualizations in motion. In situated data visualization, the data are directly visualized near their data referent (i.e., the physical space, object, or person it refers to) (Bressa et al., 2022). Situated visualizations are often useful in contexts where the data referent or the viewer does not remain stationary but is in relative motion. For example, a runner looks at visualizations from their fitness band while running. Reading visualizations in such scenarios might be impacted by motion factors. As such, understanding how to best design visualizations with motion factors is important. We define visualizations in motion as visual data representations used in contexts that exhibit relative motion between a viewer and an entire visualization. We propose a research agenda to understand what research opportunities and challenges are under visualization in motion (Yao et al., 2022). Next, we investigate (a) how motion factors can affect the reading accuracy of visualizations (Yao et al., 2022), (b) how to design and embed visualizations in motion in a real application scenario (Yao et al., 2024), and (c) the user experience and design tradeoffs of visualization in motion through a case study (Yao et al., 2024).
我们定义了动态可视化，并在如何可视化和设计动态情境可视化方面做出了多项贡献。在情境数据可视化中，数据在其数据指代物（即它所指代的物理空间、物体或人）附近直接可视化（布雷萨等人，2022年）。情境可视化在数据指代物或查看者并非静止不动而是处于相对运动的情境中通常很有用。例如，跑步者在跑步时查看健身手环上的可视化信息。在这种场景下读取可视化信息可能会受到运动因素的影响。因此，了解如何利用运动因素来最佳地设计可视化很重要。我们将动态可视化定义为在查看者与整个可视化之间呈现相对运动的情境中使用的视觉数据表示形式。我们提出了一项研究议程，以了解动态可视化下有哪些研究机会和挑战（姚等人，2022年）。接下来，我们研究：（a）运动因素如何影响可视化的读取准确性（姚等人，2022年）；（b）如何在实际应用场景中设计并嵌入动态可视化（姚等人，2024年）；以及（c）通过一个案例研究来探讨动态可视化的用户体验和设计权衡（姚等人，2024年）。
