Perceptual Biases in Font Size as a Data Encoding
Perceptual Biases in Font Size as a Data Encoding
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DOI：
10.1109/tvcg.2017.2723397
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发表时间：
2018-08
影响因子：
5.2
通讯作者：
E. Alexander;Chih-Ching Chang;Mariana Shimabukuro;S. Franconeri;C. Collins;Michael Gleicher
中科院分区：
文献类型：
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作者：
E. Alexander;Chih-Ching Chang;Mariana Shimabukuro;S. Franconeri;C. Collins;Michael Gleicher
许多可视化效果，包括单词云、地图标签和单词树，都在字体大小内编码数据。虽然字体大小对于观看者来说是一个直观的尺寸，但使用它作为编码可能会引入一些因素，这些因素可能会偏离对潜在价值的感知。观众可能会将单词的字体大小与单词的长度、包含的字母数或特定字符的较大或较小高度(‘o’与‘p’与‘b’)混为一谈。我们提出的一系列实证研究表明，这些与编码值无关的因素确实会影响对字体大小的比较判断，尽管比传统智慧所暗示的要小。我们强调了最大的潜在偏见，并描述了缓解这些偏见的策略。
Many visualizations, including word clouds, cartographic labels, and word trees, encode data within the sizes of fonts. While font size can be an intuitive dimension for the viewer, using it as an encoding can introduce factors that may bias the perception of the underlying values. Viewers might conflate the size of a word's font with a word's length, the number of letters it contains, or with the larger or smaller heights of particular characters (‘o’ versus ‘p’ versus ‘b’). We present a collection of empirical studies showing that such factors—which are irrelevant to the encoded values—can indeed influence comparative judgements of font size, though less than conventional wisdom might suggest. We highlight the largest potential biases, and describe a strategy to mitigate them.