A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space

Annotations play a vital role in highlighting critical aspects of visualizations, aiding in data externalization and exploration, collaborative sensemaking, and visual storytelling. However, despite their widespread use, we identified a lack of a design space for common practices for annotations. In this paper, we evaluated over 1,800 static annotated charts to understand how people annotate visualizations in practice. Through qualitative coding of these diverse real-world annotated charts, we explored three primary aspects of annotation usage patterns: analytic purposes for chart annotations (e.g., present, identify, summarize, or compare data features), mechanisms for chart annotations (e.g., types and combinations of annotations used, frequency of different annotation types across chart types, etc.), and the data source used to generate the annotations. We then synthesized our findings into a design space of annotations, highlighting key design choices for chart annotations. We presented three case studies illustrating our design space as a practical framework for chart annotations to enhance the communication of visualization insights. All supplemental materials are available at https://shorturl.at/bAGM1.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2024-09-09
DOI
https://doi.org/10.1109/tvcg.2024.3456359
Citations
15
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
5.21
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article

A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space

Bhavana Doppalapudi, Ghulam Jilani Quadri, Paul Rosen, Danielle Albers Szafir et al.
15 citations
IEEE Transactions on Visualization and Computer Graphics
Natural Language Processing Techniques
5.21
article

A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space

Bhavana Doppalapudi, Ghulam Jilani Quadri, Paul Rosen, Danielle Albers Szafir, Md Dilshadur Rahman
article en
15 citations

Abstract

Annotations play a vital role in highlighting critical aspects of visualizations, aiding in data externalization and exploration, collaborative sensemaking, and visual storytelling. However, despite their widespread use, we identified a lack of a design space for common practices for annotations. In this paper, we evaluated over 1,800 static annotated charts to understand how people annotate visualizations in practice. Through qualitative coding of these diverse real-world annotated charts, we explored three primary aspects of annotation usage patterns: analytic purposes for chart annotations (e.g., present, identify, summarize, or compare data features), mechanisms for chart annotations (e.g., types and combinations of annotations used, frequency of different annotation types across chart types, etc.), and the data source used to generate the annotations. We then synthesized our findings into a design space of annotations, highlighting key design choices for chart annotations. We presented three case studies illustrating our design space as a practical framework for chart annotations to enhance the communication of visualization insights. All supplemental materials are available at https://shorturl.at/bAGM1.

IEEE Transactions on Visualization and Computer GraphicsVol. 31(1)
University of North Carolina at Chapel Hill (US), University of Utah (US), University of South Florida (US), University of Oklahoma (US)
Openalex Percentile: Top 4%
Natural Language Processing Techniques
5.21
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