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.

Md Dilshadur Rahman, Ghulam Jilani Quadri, Bhavana Doppalapudi, Danielle Albers Szafir, and Paul Rosen. A Qualitative Analysis Of Common Practices In Annotations: A Taxonomy And Design Space. To appear in IEEE Transactions on Visualization and Computer Graphics (IEEE VIS), 2025.

@article{rahman2024annotationVIS,
  title = {A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and
    Design Space},
  author = {Rahman, Md Dilshadur and Quadri, Ghulam Jilani and Doppalapudi, Bhavana and
    Szafir, Danielle Albers and Rosen, Paul},
  journal = {To appear in IEEE Transactions on Visualization and Computer Graphics (IEEE
    VIS)},
  year = {2025},
  note = {textit{Presented at IEEE VIS 2024.}},
  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.}
}