Chen Kun-Ting, Dwyer Tim, Bach Benjamin, Marriott Kim
IEEE Trans Vis Comput Graph. 2022 Jan;28(1):727-736. doi: 10.1109/TVCG.2021.3114693. Epub 2021 Dec 24.
In this paper, we report on a study of visual representations for cyclical data and the effect of interactively wrapping a bar chart 'around its boundaries'. Compared to linear bar chart, polar (or radial) visualisations have the advantage that cyclical data can be presented continuously without mentally bridging the visual 'cut' across the left-and-right boundaries. To investigate this hypothesis and to assess the effect the cut has on analysis performance, this paper presents results from a crowdsourced, controlled experiment with 72 participants comparing new continuous panning technique to linear bar charts (interactive wrapping). Our results show that bar charts with interactive wrapping lead to less errors compared to standard bar charts or polar charts. Inspired by these results, we generalise the concept of interactive wrapping to other visualisations for cyclical or relational data. We describe a design space based on the concept of one-dimensional wrapping and two-dimensional wrapping, linked to two common 3D topologies; cylinder and torus that can be used to metaphorically explain one- and two-dimensional wrapping. This design space suggests that interactive wrapping is widely applicable to many different data types.
在本文中，我们报告了一项关于周期性数据可视化表示以及交互式地将条形图“围绕其边界”进行环绕的效果的研究。与线性条形图相比，极坐标（或径向）可视化的优势在于，周期性数据可以连续呈现，而无需在脑海中跨越左右边界之间的视觉“断点”。为了研究这一假设并评估该断点对分析性能的影响，本文展示了一项有72名参与者的众包控制实验的结果，该实验将新的连续平移技术与线性条形图（交互式环绕）进行了比较。我们的结果表明，与标准条形图或极坐标图相比，具有交互式环绕功能的条形图产生的错误更少。受这些结果的启发，我们将交互式环绕的概念推广到用于周期性或关系型数据的其他可视化表示中。我们基于一维环绕和二维环绕的概念描述了一个设计空间，该空间与两种常见的3D拓扑结构相关联；圆柱体和圆环面，可用于隐喻性地解释一维和二维环绕。这个设计空间表明交互式环绕广泛适用于许多不同的数据类型。
