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Pathways for Theoretical Advances in Visualization.

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    This summary is machine-generated.

    Building a theoretical foundation for visualization is achievable. This paper outlines community-driven pathways for developing taxonomies, principles, models, and quantitative systems to advance the field of visualization.

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    Area of Science:

    • Information Visualization
    • Human-Computer Interaction
    • Computer Science

    Background:

    • The field of visualization requires a robust theoretical foundation for advancement.
    • Existing research includes work on taxonomies, conceptual models, and theoretical frameworks.
    • Establishing a collective theoretical basis is a practical goal.

    Purpose of the Study:

    • To address the question of how the visualization community can collectively build a theoretical foundation.
    • To identify and propose pathways for developing this foundation.

    Main Methods:

    • Literature review of existing work on taxonomies, conceptual models, and theoretical frameworks.
    • Community-driven approach to collective foundation building.
    • Envisioning pathways for key theoretical aspects.

    Main Results:

    • Identified four key aspects for developing a theoretical foundation: taxonomies and ontologies, principles and guidelines, conceptual models and theoretical frameworks, and quantitative laws and theoretical systems.
    • Proposed community-driven pathways for collective development.

    Conclusions:

    • A collective, community-driven effort can establish a strong theoretical foundation for the field of visualization.
    • Developing theoretical aspects like taxonomies, principles, models, and systems is crucial for the field's progress.