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    This study introduces a GUI-based visualization linter for color palette design, enhancing user-defined rules and context-aware advice. The research demonstrates how linters can be effectively integrated into graphical tools for better user assistance.

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    Area of Science:

    • Human-Computer Interaction
    • Information Visualization
    • Computer Graphics

    Background:

    • Visualization linters offer automated chart issue identification.
    • Existing linters lack context-awareness and user customization, providing unhelpful advice.
    • Color palette design is a key area within visualization design concerns.

    Purpose of the Study:

    • To investigate and address the limitations of current visualization linters.
    • To develop a GUI-based color palette linter that incorporates context and user-defined rules.
    • To explore visual explanations, integrated fixes, and user-tunable advice for linters.

    Main Methods:

    • Development of a GUI-based color palette linter.
    • Exploration of perception, accessibility, and context in color design.
    • Formative interview study and theory-driven analysis.
    • Investigation of visual explanations, integrated fixes, and user-defined linting rules.

    Main Results:

    • Linters can be meaningfully integrated into graphical contexts.
    • The developed linter addresses core issues of context-modeling and user-specific advice.
    • User studies and analysis provide insights into effective linter integration.

    Conclusions:

    • Visualization linters can be significantly improved by integrating them into graphical contexts.
    • Future work includes developing better assertion languages and supporting user-tunable advice.
    • This research lays the groundwork for more effective, context-aware visualization linters.