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Metrics-Based Evaluation and Comparison of Visualization Notations.

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    We introduce a new metrics-based approach to evaluate and compare visualization notations. This method formalizes and extends the evaluation of visualization grammars and libraries using a tool called NotaScope.

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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Data Visualization

    Background:

    • Visualization notations, like grammars or libraries, are evaluated via example galleries or expert heuristics.
    • Current evaluation methods are often ad hoc, hindering direct comparison of different notations.
    • Expert analysis can be burdensome, requiring consideration of multiple complex system facets.

    Purpose of the Study:

    • To introduce a metrics-based approach for evaluating and comparing visualization notations.
    • To formalize, externalize, and extend the evaluation process for visualization grammars and libraries.
    • To present a case study on statistical graphics using this new approach.

    Main Methods:

    • Developed a metrics-based approach for usability evaluation of visualization notations.
    • Computed metrics across a gallery of 40 statistical graphics examples for 9 notations.
    • Utilized a new tool, NotaScope, to facilitate metric computation and analysis.
    • Gathered feedback from authors/maintainers of prominent charting libraries (n=6).

    Main Results:

    • The metrics-based approach provides a formalized and extensible method for notation evaluation.
    • NotaScope aids in computing metrics and analyzing visualization notations.
    • Interviews with library authors/maintainers indicate the approach is promising.

    Conclusions:

    • The proposed metrics-based approach offers a structured and objective way to evaluate and compare visualization notations.
    • NotaScope is a valuable tool for implementing this evaluation methodology.
    • This approach has the potential to significantly improve the design and selection of visualization tools.