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图表说了什么?分组提示引导条形图中的观察者进行比较和得出结论。

What Does the Chart Say? Grouping Cues Guide Viewer Comparisons and Conclusions in Bar Charts.

出版信息

IEEE Trans Vis Comput Graph. 2024 Aug;30(8):5097-5110. doi: 10.1109/TVCG.2023.3289292. Epub 2024 Jul 1.

Abstract

Reading a visualization is like reading a paragraph. Each sentence is a comparison: the mean of these is higher than those; this difference is smaller than that. What determines which comparisons are made first? The viewer's goals and expertise matter, but the way that values are visually grouped together within the chart also impacts those comparisons. Research from psychology suggests that comparisons involve multiple steps. First, the viewer divides the visualization into a set of units. This might include a single bar or a grouped set of bars. Then the viewer selects and compares two of these units, perhaps noting that one pair of bars is longer than another. Viewers might take an additional third step and perform a second-order comparison, perhaps determining that the difference between one pair of bars is greater than the difference between another pair. We create a visual comparison taxonomy that allows us to develop and test a sequence of hypotheses about which comparisons people are more likely to make when reading a visualization. We find that people tend to compare two groups before comparing two individual bars and that second-order comparisons are rare. Visual cues like spatial proximity and color can influence which elements are grouped together and selected for comparison, with spatial proximity being a stronger grouping cue. Interestingly, once the viewer grouped together and compared a set of bars, regardless of whether the group is formed by spatial proximity or color similarity, they no longer consider other possible groupings in their comparisons.

摘要

阅读可视化内容就像阅读一段文字。每句话都是一种比较:这些的平均值高于那些;这个差异小于那个。那么,决定首先进行哪些比较的因素是什么呢?观看者的目标和专业知识很重要,但图表中值的视觉分组方式也会影响这些比较。心理学研究表明,比较涉及多个步骤。首先,观看者将可视化内容分为一组单元。这可能包括单个条形图或一组分组的条形图。然后,观看者选择并比较其中的两个单元,例如注意到一对条形图比另一对更长。观看者可能会采取额外的第三步,并进行二阶比较,例如确定一对条形图之间的差异大于另一对之间的差异。我们创建了一个视觉比较分类法,使我们能够开发和测试一系列关于人们在阅读可视化内容时更有可能进行哪些比较的假设。我们发现,人们倾向于先比较两个组,然后再比较两个单独的条形图,并且二阶比较很少见。空间接近度和颜色等视觉提示可以影响哪些元素被组合在一起并被选择进行比较,其中空间接近度是更强的分组提示。有趣的是,一旦观看者将一组条形图组合在一起并进行了比较,无论该组是通过空间接近度还是颜色相似性形成的,他们在比较中不再考虑其他可能的分组。

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