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Published in 2019 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2018.2865147
Abstract: To interpret data visualizations, people must determine how visual features map onto concepts. For example, to interpret colormaps, people must determine how dimensions of color (e.g., lightness, hue) map onto quantities of a given measure…
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Keywords:
data visualizations;
background color;
color;
colormap data ... See more keywords
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Published in 2025 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2025.3634775
Abstract: Research on affective visualization design has shown that color is an especially powerful feature for influencing the emotional connotation of visualizations. Associations between colors and emotions are largely driven by lightness (e.g., lighter colors are…
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Keywords:
colormap data;
affective color;
color scales;
data visualizations ... See more keywords