Affective Colour in Visualization
summary
Three user studies produce concrete rules: mining image tags yields 41 visualization‑feasible colors, participants design 504 five‑color palettes for eight affects, and a new pallet‑weight metric and ranking study validate results. Lightness and chroma predict affect (calm = light, negative = very dark, exciting/playful = high chroma), palette weight strongly predicts perceived fit, and network modeling of co‑occurrence reveals distinct color clusters (e.g., two trustworthy strategies anchored by yellow). A toolkit for tuning palettes to a position in affect space is proposed.
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chapters (8)
- 0:00Introduction to affective visualization
- 2:32Color affect in visualization
- 4:15Visualization affect space
- 6:01User study on palette design
- 9:34Validating palette rankings
- 11:39Network modeling of palettes
- 13:44Design implications and future work
- 15:09Q&A session
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