Learning Perceptual Kernels for Visualization Design

Visualization design can benefit from careful consideration of perception, as different assignments of visual encoding variables such as color, shape and size affect how viewers interpret data. In this work, we introduce perceptual kernels: distance matrices derived from aggregate perceptual judgmen...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics 2014-12, Vol.20 (12), p.1933-1942
Hauptverfasser:	Demiralp, Cagatay Demiralp, Bernstein, Michael S., Heer, Jeffrey
Format:	Artikel
Sprache:	eng
Schlagworte:	Color analysis Data visualization Encoding Image color analysis Kernel Shape analysis Visualization
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