Evidence map›Paper›PMID 28923921›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Color naming across languages reflects color use.

Edward Gibson, Richard Futrell, Julian Jara-Ettinger, Kyle Mahowald, Leon Bergen, Sivalogeswaran Ratnasingam, Mitchell Gibson, Steven T Piantadosi, Bevil R Conway

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
–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

68 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. The representation of object concepts across the brain.bioRxiv : the preprint server for biology · 2025
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  7. Article
  8. Article
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  10. Comparing color qualia structures through a similarity task in young children versus adults.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Human and primate categorical understanding of color.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. The origin of color categories.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Dynamic Field Theory of Executive Function: Identifying Early Neurocognitive Markers.Monographs of the Society for Research in Child Development · 2024
    Article
  14. Article
  15. Review
  16. History constrains the evolution of efficient color naming, enabling historical inference.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

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

9 authors.

Edward GibsonDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139; bevil@nih.gov egibson@mit.edu.
Richard FutrellDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.
Julian Jara-EttingerDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0002-6167-1647
Kyle MahowaldDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.
Leon BergenDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.
Sivalogeswaran RatnasingamLaboratory of Sensorimotor Research, National Eye Institute and National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892.
Mitchell GibsonDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.
Steven T PiantadosiDepartment of Brain and Cognitive Sciences, University of Rochester, Rochester, NY 14627.
Bevil R ConwayLaboratory of Sensorimotor Research, National Eye Institute and National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892; bevil@nih.gov egibson@mit.edu.

Funding

Using Color as a Model System for studying Perception, Thoughts, and ActionZIAEY000558 · NEI · NATIONAL EYE INSTITUTE · PI CONWAY, BEVIL · 2017 to 2025
$24.9M
Neural mechanisms of colorR01EY023322 · NEI · WELLESLEY COLLEGE · PI JAZAYERI, MEHRDAD · 2013 to 2017
$1.9M
NEI NIH HHS R01 EY023322
6 · The paper itself

Abstract

What determines how languages categorize colors? We analyzed results of the World Color Survey (WCS) of 110 languages to show that despite gross differences across languages, communication of chromatic chips is always better for warm colors (yellows/reds) than cool colors (blues/greens). We present an analysis of color statistics in a large databank of natural images curated by human observers for salient objects and show that objects tend to have warm rather than cool colors. These results suggest that the cross-linguistic similarity in color-naming efficiency reflects colors of universal usefulness and provide an account of a principle (color use) that governs how color categories come about. We show that potential methodological issues with the WCS do not corrupt information-theoretic analyses, by collecting original data using two extreme versions of the color-naming task, in three groups: the Tsimane', a remote Amazonian hunter-gatherer isolate; Bolivian-Spanish speakers; and English speakers. These data also enabled us to test another prediction of the color-usefulness hypothesis: that differences in color categorization between languages are caused by differences in overall usefulness of color to a culture. In support, we found that color naming among Tsimane' had relatively low communicative efficiency, and the Tsimane' were less likely to use color terms when describing familiar objects. Color-naming among Tsimane' was boosted when naming artificially colored objects compared with natural objects, suggesting that industrialization promotes color usefulness.

Indexed as

Color PerceptionCross-Cultural ComparisonLanguageAdolescentAdultAgedChoice BehaviorColorDatabases, FactualDiscrimination, PsychologicalFemaleHumansLinguisticsMaleMiddle AgedSurveys and Questionnairesbasic color termscolor categorizationcolor cognitioninformation theoryWhorfian hypothesis

Identifiers

PMID28923921
PMCPMC5635863

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.