Avoid dark yellowish-green colors when optimizing categorical palette preference
For aesthetic evaluation of categorical palettes, avoid dark yellowish-green hues on categorical color encodings to maximize aesthetics and mitigate disliked color-region choices for viewers judging palette appeal.
- purpose:refine
- basis:empirical
- data:categorical
- quality:aesthetics
- lever:encoding
- polish:palette
- aesthetic:color:avoid
- channel:color-hue:avoid
advice
Filter the disliked yellow-green region
Remove dark yellowish-green colors when average viewer preference matters. For example, avoid hues around 85°–114° with lightness around 35–75, and penalize nearby yellow-green colors that border this region.
reason
Why this region hurts preference
A preference-driven palette can drift into disliked yellow-green colors when cool blues and strong separation are both rewarded. Filtering that region keeps the palette from solving discriminability by introducing colors that people tend to dislike.
Mechanism: Preference weighting pulls toward cool blues, and discrimination weighting can then push their opposites toward darker yellows; filtering the dark yellowish-green region blocks that undesirable path.
Evidence: The paper excludes a dark yellowish-green region because those colors are generally disliked on average, and reports that removing this region still preserved enough color space for discriminable pairings while improving typical palette preference (https://doi.org/10.1109/TVCG.2016.2598918">Gramazio et al., 2017).
Notes: The paper also adds a penalty for nearby yellow-green candidates so border cases are sampled less often.
context
Use when optimizing for average viewer preference
- User Goal: Raise average palette appeal.
- Task: Generate or revise a categorical palette that must balance preference with discrimination.
- Data: Categorical groups encoded by color.
- Chart Setting: A palette that includes blues or other colors that could otherwise drive selection toward dark yellow opposites.
- Audience: A broad audience whose average preference matters more than individual taste.
- Success Criterion: Fewer disliked yellow-green colors without losing usable category separation.
exceptions
Do not use when a known audience specifically wants those colors
Break it when: The design is for a known observer or audience that specifically prefers these yellow-green colors. Why: The paper notes individual differences and that some observers may like them even though they are generally disliked on average.
costs
Filtering the region reduces some available contrasts
Sacrifice: You lose part of the yellow-green color space. Risk: If applied blindly, you may remove some otherwise discriminable oppositions against blues. Mitigation: Keep using other yellow regions outside the filtered dark zone.
mistakes
Common yellow-green failure
Mistake: Letting discriminability and coolness push the palette toward dark yellow opposites of selected blues. Why it fails: That interaction produces colors the paper identifies as generally disliked.
check
Inspect the hue-lightness region directly
Failure Sign: The palette contains muddy dark yellow-greens that feel noticeably less appealing than the other colors. Quick Check: Check whether any palette color falls in the hue range 85°–114° and the lightness range 35–75. Stronger Test: Compare the current palette against a version with those colors replaced and collect preference ratings.
fix
Replace or penalize the filtered region
- Replace colors inside the filtered region with nearby colors outside it.
- Penalize neighboring yellow-green candidates so the palette generator samples them less often.
- Regenerate the palette and keep the version with the higher minimum pair preference.