散点图中符号对比的评价

Jing Li, J. V. Wijk, J. Martens
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引用次数: 22

摘要

在可视化中,符号经常用于表示数据对象。符号之间的适当对比是决定视觉分析过程效率的先决条件。基于用户测试和符号对比的定量模型,我们研究了散点图背景下不同类型符号之间的对比。通过使用四种尺寸、两种类型(多边形和星号形状)和四种旋转对称,总共生成了32种不同的符号;并使用了三个不同的任务。根据用户测试结果,为所研究的符号类型建立了内部分离空间。在这个空间中,每个符号都用一个点来表示,符号之间的视觉对比由任务性能定义,用点之间的距离来表示。通过多维尺度(MDS)获得的点在空间中的位置,揭示了不同视觉特征尺度的影响。此外,更大的距离意味着更好的视觉任务符号分离,因此表明适当的符号选择。讨论了所产生的配置,并确定了符号属性与所产生的对比度之间关系的一些模式。总之,我们发现空间中的尺寸效应不是线性的,比形状效应更占优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of symbol contrast in scatterplots
Symbols are frequently used to represent data objects in visualization. An appropriate contrast between symbols is a precondition that determines the efficiency of a visual analysis process. We study the contrast between different types of symbols in the context of scatterplots, based on user testing and a quantitative model for symbol contrast. In total, 32 different symbols were generated by using four sizes, two classes (polygon-and asterisk shaped), and four categories of rotational symmetry; and used three different tasks. From the user test results an internal separation space is established for the symbol types under study. In this space, every symbol is represented by a point, and the visual contrasts defined by task performance between the symbols are represented by the distances between the points. The positions of the points in the space, obtained by Multidimensional Scaling (MDS), reveal the effects of different visual feature scales. Also, larger distances imply better symbol separation for visual tasks, and therefore indicate appropriate choices for symbols. The resulting configurations are discussed, and a number of patterns in the relation between properties of the symbols and the resulting contrast are identified. In short we found that the size effect in the space is not linear and more dominant than shape effect.
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