Pluto: Authoring Semantically Aligned Text and Charts for Data-Driven Communication
Arjun Srinivasan, Vidya Setlur, Arvind Satyanarayan

TL;DR
Pluto is an interactive system that assists users in creating semantically aligned text and charts for data visualization, enabling more cohesive and meaningful data-driven communication.
Contribution
We introduce Pluto, a novel mixed-initiative authoring tool that suggests and automates text and chart integration based on construction features and user input.
Findings
User study shows Pluto's recommendations aid in authoring process
Pluto helps identify strategies for joint text and chart creation
Design implications for interactive verification and control in visualization tools
Abstract
Textual content (including titles, annotations, and captions) plays a central role in helping readers understand a visualization by emphasizing, contextualizing, or summarizing the depicted data. Yet, existing visualization tools provide limited support for jointly authoring the two modalities of text and visuals such that both convey semantically-rich information and are cohesively integrated. In response, we introduce Pluto, a mixed-initiative authoring system that uses features of a chart's construction (e.g., visual encodings) as well as any textual descriptions a user may have drafted to make suggestions about the content and presentation of the two modalities. For instance, a user can begin to type out a description and interactively brush a region of interest in the chart, and Pluto will generate a relevant auto-completion of the sentence. Similarly, based on a written…
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Taxonomy
TopicsSemantic Web and Ontologies
