Evidence map›Paper›PMID 25981792›Full record

ArticleCurrent biology : CB2015

Asymmetries in blue-yellow color perception and in the color of 'the dress'.

Alissa D Winkler, Lothar Spillmann, John S Werner, Michael A Webster

Abstract readLetter
In one paragraph

Article in Current biology : CB, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Achromatic loci in normal and anomalous trichromats.Journal of the Optical Society of America. A, Optics, image science, and vision · 2025
    Article
  4. Visual search for warm and cool colors.Journal of the Optical Society of America. A, Optics, image science, and vision · 2025
    Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Priming of probabilistic attentional templates.Psychonomic bulletin & review · 2023
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alissa D WinklerDepartment of Psychology, University of Nevada, Reno, NV, USA.
Lothar SpillmannUniversity Hospital, Neurozentrum, Freiburg, Germany.
John S WernerDepartment of Psychology, University of Regensburg, and University of California, Davis, CA, USA.
Michael A WebsterDepartment of Psychology, University of Nevada, Reno, NV, USA. Electronic address: mwebster@unr.edu.

Funding

SALIENCE, ADAPTATION, AND NATURAL IMAGE STATISTICSR01EY010834 · NEI · UNIVERSITY OF NEVADA RENO · PI WEBSTER, MICHAEL A · 2000 to 2023
$4.6M
OPTICAL AND NEURAL CHANGES IN THE AGING VISUAL SYSTEMR37AG004058 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI WERNER, JOHN S · 2001 to 2010
$2.9M
OPTICAL &NEURAL CHANGES IN THE AGING VISUAL SYSTEMR01AG004058 · NIA · UNIVERSITY OF COLORADO AT BOULDER · PI WERNER, JOHN S · 1988 to 2015
$1.9M
OPTICAL AND NEURAL CHANGES IN THE AGING VISUAL SYSTEMR23AG004058 · NIA · UNIVERSITY OF COLORADO AT BOULDER · PI WERNER, JOHN S. · 1985 to 1985
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COLOR CONTRAST ADAPTATIONR29EY010834 · NEI · UNIVERSITY OF NEVADA RENO · PI WEBSTER, MICHAEL A · 1995 to 1999
–
NEI NIH HHS EY-10834NEI NIH HHS R01 EY010834NEI NIH HHS R29 EY010834NIA NIH HHS AG-04058NIA NIH HHS R01 AG004058NIA NIH HHS R37 AG004058
6 · The paper itself

Abstract

The perception of color poses daunting challenges, because the light spectrum reaching the eye depends on both the reflectance of objects and the spectrum of the illuminating light source. Solving this problem requires sophisticated inferences about the properties of lighting and surfaces, and many striking examples of 'color constancy' illustrate how our vision compensates for variations in illumination to estimate the color of objects (for example [1-3]). We discovered a novel property of color perception and constancy, involving how we experience shades of blue versus yellow. We found that surfaces are much more likely to be perceived as white or gray when their color is varied along bluish directions, compared with equivalent variations along yellowish (or reddish or greenish) directions. This selective bias may reflect a tendency to attribute bluish tints to the illuminant rather than the object, consistent with an inference that indirect lighting from the sky and in shadows tends to be bluish. The blue-yellow asymmetry has striking effects on the appearance of images when their colors are reversed, turning white to yellow and silver to gold, and helps account for the variation among observers in the colors experienced in 'the dress' image that recently consumed the internet. Observers variously describe the dress as blue-black or white-gold, and this has been explained by whether the dress appears to be in direct lighting or shade (for example [5]). We show that these individual differences and potential lighting interpretations also depend on the special ambiguity of blue, for simply reversing the image colors causes almost all observers to report the lighter stripes as yellowish.

Indexed as

IndividualityColor PerceptionHumansInternetLightingPhotography

Identifiers

PMID25981792
PMCPMC4489998

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.