Evidence map›Paper›PMID 28042057›Full record

ArticleVision research2017

Variations in normal color vision. VII. Relationships between color naming and hue scaling.

Kara J Emery, Vicki J Volbrecht, David H Peterzell, Michael A Webster

Open access · greenAbstract read
In one paragraph

Article in Vision research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.6field-weighted citation impact, top 4% of its field
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

14 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. From cones to color vision: a neurobiological model that explains the unique hues.Journal of the Optical Society of America. A, Optics, image science, and vision · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. When illusions merge.Journal of vision · 2020
    Article
  9. Article
  10. The Verriest Lecture: Adventures in blue and yellow.Journal of the Optical Society of America. A, Optics, image science, and vision · 2020
    Article
  11. Comparison of two methods of hue scaling.Journal of the Optical Society of America. A, Optics, image science, and vision · 2020
    Article
  12. Individual differences and their implications for color perception.Current opinion in behavioral sciences · 2019
    Article
  13. Article
  14. 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 at 3 institutions in 1 country.

Kara J EmeryGraduate Program in Integrative Neuroscience, University of Nevada, Reno, Reno, NV 89557, United States.
Vicki J VolbrechtDepartment of Psychology, Colorado State University, Fort Collins, CO 80523, United States.
David H PeterzellCollege of Psychology, John F. Kennedy University, Pleasant Hill, CA 94624, United States.
Michael A WebsterGraduate Program in Integrative Neuroscience, University of Nevada, Reno, Reno, NV 89557, United States; Department of Psychology, University of Nevada, Reno, Reno, NV 89557, United States. Electronic address: mwebster@unr.edu.
University of Nevada, Reno · USColorado State University · USJohn F. Kennedy University · US

Funding

SALIENCE, ADAPTATION, AND NATURAL IMAGE STATISTICSR01EY010834 · NEI · UNIVERSITY OF NEVADA RENO · PI WEBSTER, MICHAEL A · 2000 to 2023
$4.6M
COLOR CONTRAST ADAPTATIONR29EY010834 · NEI · UNIVERSITY OF NEVADA RENO · PI WEBSTER, MICHAEL A · 1995 to 1999
–
NEI NIH HHS R01 EY010834NEI NIH HHS R29 EY010834
6 · The paper itself

Abstract

A longstanding and unresolved question is how observers construct a discrete set of color categories to partition and label the continuous variations in light spectra, and how these categories might reflect the neural representation of color. We explored the properties of color naming and its relationship to color appearance by analyzing individual differences in color-naming and hue-scaling patterns, using factor analysis of individual differences to identify separate and shared processes underlying hue naming (labeling) and hue scaling (color appearance). Observers labeled the hues of 36 stimuli spanning different angles in cone-opponent space, using a set of eight terms corresponding to primary (red, green, blue, yellow) or binary (orange, purple, blue-green, yellow-green) hues. The boundaries defining different terms varied mostly independently, reflecting the influence of at least seven to eight factors. This finding is inconsistent with conventional color-opponent models in which all colors derive from the relative responses of underlying red-green and blue-yellow dimensions. Instead, color categories may reflect qualitatively distinct attributes that are free to vary with the specific spectral stimuli they label. Inter-observer differences in color naming were large and systematic, and we examined whether these differences were associated with differences in color appearance by comparing the hue naming to color percepts assessed by hue scaling measured in the same observers (from Emery et al., 2017). Variability in both tasks again depended on multiple (7 or 8) factors, with some Varimax-rotated factors specific to hue naming or hue scaling, but others common to corresponding stimuli for both judgments. The latter suggests that at least some of the differences in how individuals name or categorize color are related to differences in how the stimuli are perceived.

Indexed as

AdultColor PerceptionColor VisionFactor Analysis, StatisticalFemaleHumansMalePhotic StimulationSensory ThresholdsYoung AdultColor appearanceColor categoriesColor namingColor visionHue scalingIndividual differences

Identifiers

PMID28042057
PMCPMC5498278
OpenAlexW2571437327

What OpenQuestion holds

Textmetadata
LicenceTDM
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.