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Related Experiment Video

Updated: Jan 19, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Why Visualize? Untangling a Large Network of Arguments.

Dirk Streeb, Mennatallah El-Assady, Daniel A Keim

    IEEE Transactions on Visualization and Computer Graphics
    |September 13, 2019
    PubMed
    Summary

    This study systematically analyzes arguments for and against visualization, creating a network to understand their relationships and dependencies. It provides a foundation for visualization theory, research, and practice.

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    Area of Science:

    • Information Visualization
    • Cognitive Science
    • Human-Computer Interaction

    Background:

    • Visualization is widely used, but its effectiveness and potential pitfalls are debated.
    • Existing arguments for and against visualization lack systematic organization and theoretical grounding.

    Purpose of the Study:

    • To theoretically study and systematically collect arguments concerning the use and non-use of visualization.
    • To understand the relationships between different arguments and their dependencies on tasks, users, and data.

    Main Methods:

    • Curated an argumentative network from diverse fields (visualization, cognitive science, psychology, statistics, philosophy).
    • Developed categorizations for arguments and explicated their interrelations.
    • Created an online, interactive visualization of the argumentation network.

    Main Results:

    • Established the first comprehensive theoretical study of arguments in visualization.
    • Identified and categorized various arguments for and against visualization.
    • Mapped the relationships and dependencies of these arguments.

    Conclusions:

    • Provides a foundational roadmap for visualization theory, empirical research, and practical design critique.
    • Offers a structured understanding of why and when to use (or not use) visualization.
    • The developed network and collection support critique and design of effective visualizations.