论文标题
字幕如何影响可视化阅读？
How Do Captions Affect Visualization Reading?
论文作者
论文摘要
字幕可帮助读者更好地了解可视化。但是，如果可视化旨在传达特定特征，则标题是否统计，专注于特定值或感知，并专注于一般模式？先前的工作表明，当字幕提及视觉上显着的功能时，读者倾向于回忆这些功能。尽管如此，我们仍缺乏有关如何撰写适当标题的明确指南。此外，如果作者希望强调一个不太突出的功能怎么办？ 在本文中，我们研究了标题中描述的功能的视觉显着性以及标题描述的语义层面，影响了读者从线图中的收获。对于每个单行图表或多行图，我们生成4个字幕1）描述图表中的主要或次要显着特征，以及2）在统计或感知级别上描述该特征。然后，我们向参与者展示随机的图表符合对，并记录他们的外卖。 我们发现，当标题在统计级别表达时，对于单线图，主要的显着特征更令人难忘。对于多行图中的主要和次要特征，感知水平更令人难忘。我们还发现，当存在字幕时，许多读者会倾向于回忆y轴的数值。
Captions help readers better understand visualizations. However, if the visualization is intended to communicate specific features, should the caption be statistical, and focus on specific values, or perceptual, and focus on general patterns? Prior work has shown that when captions mention visually salient features, readers tend to recall those features. Still, we lack explicit guidelines for how to compose the appropriate caption. Further, what if the author wishes to emphasize a less salient feature? In this paper, we study how the visual salience of the feature described in a caption, and the semantic level of the caption description, affect a reader's takeaways from line charts. For each single- or multi-line chart, we generate 4 captions that 1) describe either the primary or secondary salient feature in a chart, and 2) describe the feature either at the statistical or perceptual levels. We then show participants random chart-caption pairs and record their takeaways. We find that the primary salient feature is more memorable for single-line charts when the caption is expressed at the statistical level; for primary and secondary features in multi-line charts, the perceptual level is more memorable. We also find that many readers will tend to recall y-axis numerical values when a caption is present.
