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Updated: May 15, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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Critical Interactivity: Exploration and Narration in Data Visualization.

Francesca Morini, Manuela Garreton, Jona Pomerance

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    Summary
    This summary is machine-generated.

    We introduce critical interactivity to explore how data visualizations empower users. This concept examines the balance of control between creators and viewers, fostering deeper engagement with data narratives.

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    Area of Science:

    • Data Visualization
    • Human-Computer Interaction
    • Science Communication

    Background:

    • Interactivity in data visualization is often seen as a tool for analysis.
    • Existing frameworks do not fully capture the nuanced role of user control and authorial intent.

    Purpose of the Study:

    • To propose and define "critical interactivity" as a concept for studying data visualizations.
    • To analyze the negotiation of authority and agency in user-data interactions.
    • To explore how critical interactivity connects data exploration with narrative.

    Main Methods:

    • Conceptual framework development.
    • Analysis of four diverse case studies (science communication, art history, anthropology, climate advocacy).
    • Reflection on data preparation efforts and design strategies.

    Main Results:

    • Critical interactivity centers on the power dynamics between visualization creators and viewers.
    • It highlights how users navigate and interpret data on their own terms, influencing the narrative.
    • Case studies demonstrate the link between exploration and narration through interactive elements.

    Conclusions:

    • Critical interactivity offers a new lens for designing and understanding data visualizations.
    • It emphasizes empowering viewers while acknowledging authorial structure.
    • Design strategies are proposed for implementing this concept effectively.