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Affective Color Scales for Colormap Data Visualizations.

Halle C Braun, Kushin Mukherjee, Seth R Gorelik

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    This summary is machine-generated.

    Color in data visualizations can convey emotions, but must balance affective design with data clarity. This study shows colormaps can achieve both, considering color scales and data patterns for effective visualization.

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    Area of Science:

    • Information Visualization
    • Perception Psychology

    Background:

    • Color significantly influences the emotional perception of visualizations.
    • Lightness of color is a primary driver of color-emotion associations (light=positive, dark=negative).
    • Designing for pure light or dark colors can hinder spatial detail in data visualizations using color to represent patterns.

    Purpose of the Study:

    • To investigate if colormaps can maintain affective connotation while preserving lightness contrast for spatial vision.
    • To explore the influence of color scale and data-dependent color frequency on affective connotation.
    • To highlight the importance of data-aware design in affective visualization.

    Main Methods:

    • Developed and evaluated colormaps designed for both lightness contrast and affective communication.
    • Assessed how color scale choices and the frequency of color appearance (data-dependence) impact perceived emotion.
    • Utilized principles of visual perception and affective design.

    Main Results:

    • It is feasible to create colormaps with strong lightness contrast that also convey distinct affective connotations.
    • Affective connotation is influenced by both the chosen color scales and the underlying data's distribution of colors.
    • The data-dependence hypothesis was supported, showing data characteristics impact perceived emotion.

    Conclusions:

    • Affective colormap design is achievable, balancing visual clarity with emotional impact.
    • Effective affective visualization requires considering how data characteristics interact with design elements like color.
    • Data-aware design is crucial for creating visualizations that are both informative and emotionally resonant.