English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Captions help readers better understand visualizations. However, if thevisualization is intended to communicate specific features, should the captionbe statistical, and focus on specific values, or perceptual, and focus ongeneral patterns? Prior work has shown that when captions mention visuallysalient features, readers tend to recall those features. Still, we lackexplicit guidelines for how to compose the appropriate caption. Further, whatif the author wishes to emphasize a less salient feature?  In this paper, we study how the visual salience of the feature described in acaption, and the semantic level of the caption description, affect a reader'stakeaways from line charts. For each single- or multi-line chart, we generate 4captions that 1) describe either the primary or secondary salient feature in achart, and 2) describe the feature either at the statistical or perceptuallevels. We then show participants random chart-caption pairs and record theirtakeaways.  We find that the primary salient feature is more memorable for single-linecharts when the caption is expressed at the statistical level; for primary andsecondary features in multi-line charts, the perceptual level is morememorable. We also find that many readers will tend to recall y-axis numericalvalues when a caption is present.

How Do Captions Affect Visualization Reading?