An Analysis of Text Functions in Information Visualization

Text is an integral but understudied component of visualization design. Although recent studies have examined how text elements (e.g., titles and annotations) influence comprehension, preferences, and predictions, many questions remain about textual design and use in practice. This paper introduces a framework for understanding text functions in information visualizations, building on and filling gaps in prior classifications and taxonomies. Through an analysis of 120 real-world visualizations and 804 text elements, we identified ten distinct text functions, ranging from identifying data mappings to presenting valenced subtext. We further identify patterns in text usage and conduct a factor analysis, revealing four overarching text-informed design strategies: Attribution and Variables, Annotation-Centric Design, Visual Embellishments, and Narrative Framing. In addition to these factors, we explore features of title rhetoric and text multifunctionality, while also uncovering previously unexamined text functions, such as text replacing visual elements. Our findings highlight the flexibility of text, demonstrating how different text elements in a given design can combine to communicate, synthesize, and frame visual information. This framework adds important nuance and detail to existing frameworks that analyze the diverse roles of text in visualization.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2025-11-21
DOI
https://doi.org/10.1109/tvcg.2025.3634632
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
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article

An Analysis of Text Functions in Information Visualization

Marti A. Hearst, Lace Padilla, Chase Stokes, Anjana Arunkumar
IEEE Transactions on Visualization and Computer Graphics
Data Visualization and Analytics
article

An Analysis of Text Functions in Information Visualization

Marti A. Hearst, Lace Padilla, Chase Stokes, Anjana Arunkumar
article en

Abstract

Text is an integral but understudied component of visualization design. Although recent studies have examined how text elements (e.g., titles and annotations) influence comprehension, preferences, and predictions, many questions remain about textual design and use in practice. This paper introduces a framework for understanding text functions in information visualizations, building on and filling gaps in prior classifications and taxonomies. Through an analysis of 120 real-world visualizations and 804 text elements, we identified ten distinct text functions, ranging from identifying data mappings to presenting valenced subtext. We further identify patterns in text usage and conduct a factor analysis, revealing four overarching text-informed design strategies: Attribution and Variables, Annotation-Centric Design, Visual Embellishments, and Narrative Framing. In addition to these factors, we explore features of title rhetoric and text multifunctionality, while also uncovering previously unexamined text functions, such as text replacing visual elements. Our findings highlight the flexibility of text, demonstrating how different text elements in a given design can combine to communicate, synthesize, and frame visual information. This framework adds important nuance and detail to existing frameworks that analyze the diverse roles of text in visualization.

IEEE Transactions on Visualization and Computer GraphicsVol. 32(1)
Northeastern University (US), University of California, Berkeley (US)
Openalex Percentile: Top 63%
Data Visualization and Analytics
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An Analysis of Text Functions in Information Visualization — Marti A. Hearst, Lace Padilla, et al. · IEEE Transactions on Visualization and Computer Graphics (2025) | TGRS Research Map | TGRS