arXiv 2205.012632022-05cs.HC

标题如何影响可视化阅读？

How Do Captions Affect Visualization Reading?

Hanxiu 'Hazel' Zhu, Shelly Shiying Cheng, Eugene Wu

摘要：

标题帮助读者更好地理解可视化。然而，如果可视化旨在传达特定的特征，那么标题应该是统计的，并关注特定的值，还是感知的，并关注一般的模式？先前的研究表明，当标题提到视觉上突出的特征时，读者往往会回忆起这些特征。尽管如此，我们仍然缺乏明确的指导方针，如何撰写适当的标题。此外，如果作者希望强调一个不太突出的特征呢？在本文中，我们研究了标题中描述的特征的视觉显著性，以及标题描述的语义水平，如何影响读者从折线图中获得的信息。对于每个单线或多线图表，我们生成4个标题，1）描述图表中的主要或次要显著特征，以及2）在统计或感知水平上描述特征。然后，我们向参与者展示随机的图表-标题对，并记录他们的收获。我们发现，主要的显着特征是更难忘的单线图表时，标题表示在统计水平，在多行图表的主要和次要功能，感知水平是更难忘的。我们还发现，当有标题时，许多读者会倾向于回忆y轴的数值。

英文摘要：

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.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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英文摘要：

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