Evidence map›Paper›PMID 31731116›Full record

ArticleCognition2020

Communication efficiency of color naming across languages provides a new framework for the evolution of color terms.

Bevil R Conway, Sivalogeswaran Ratnasingam, Julian Jara-Ettinger, Richard Futrell, Edward Gibson

Abstract read
In one paragraph

Article in Cognition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
  2. Article
  3. Visual search for warm and cool colors.Journal of the Optical Society of America. A, Optics, image science, and vision · 2025
    Article
  4. Human and primate categorical understanding of color.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. The origin of color categories.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. What we talk about when we talk about colors.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  14. Colors.Current biology : CB · 2021
    Article
  15. Article
  16. Article
  17. 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

5 authors.

Bevil R ConwayLaboratory of Sensorimotor Research, National Eye Institute, NIH, Bethesda, MD, 20892, United States. Electronic address: bevil@nih.gov.
Sivalogeswaran RatnasingamLaboratory of Sensorimotor Research, National Eye Institute, NIH, Bethesda, MD, 20892, United States.
Julian Jara-EttingerDepartment of Psychology, Yale University, New Haven, CT, 06520, United States.
Richard FutrellDepartment of Language Science, University of California, Irvine, CA, United States.
Edward GibsonDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA, 02139, United States.

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
Intramural NIH HHS Z99 EY999999Intramural NIH HHS ZIA EY000558NEI NIH HHS R01 EY023322
6 · The paper itself

Abstract

Languages vary in their number of color terms. A widely accepted theory proposes that languages evolve, acquiring color terms in a stereotyped sequence. This theory, by Berlin and Kay (BK), is supported by analyzing best exemplars ("focal colors") of basic color terms in the World Color Survey (WCS) of 110 languages. But the instructions of the WCS were complex and the color chips confounded hue and saturation, which likely impacted focal-color selection. In addition, it is now known that even so-called early-stage languages nonetheless have a complete representation of color distributed across the population. These facts undermine the BK theory. Here we revisit the evolution of color terms using original color-naming data obtained with simple instructions in Tsimane', an Amazonian culture that has limited contact with industrialized society. We also collected data in Bolivian-Spanish speakers and English speakers. We discovered that information theory analysis of color-naming data was not influenced by color-chip saturation, which motivated a new analysis of the WCS data. Embedded within a universal pattern in which warm colors (reds, oranges) are always communicated more efficiently than cool colors (blues, greens), as languages increase in overall communicative efficiency about color, some colors undergo greater increases in communication efficiency compared to others. Communication efficiency increases first for yellow, then brown, then purple. The present analyses and results provide a new framework for understanding the evolution of color terms: what varies among cultures is not whether colors are seen differently, but the extent to which color is useful.

Indexed as

ColorColor PerceptionCommunicationCross-Cultural ComparisonAdolescentAdultAgedBoliviaFemaleHumansIndians, South AmericanInformation TheoryMaleMiddle AgedPsycholinguisticsUnited StatesColor categoriesCommunication efficiencyCross-culturalInformation theoryUniversal

Identifiers

PMID31731116
PMCPMC6939132

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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.