Evidence map›Paper›PMID 40124475›Full record

ArticleiScience2025

Is my "red" your "red"?: Evaluating structural correspondences between color similarity judgments using unsupervised alignment.

Genji Kawakita, Ariel Zeleznikow-Johnston, Ken Takeda, Naotsugu Tsuchiya, Masafumi Oizumi

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Reply to Bosten and Franklin: Children's color qualia structure is similar to adults'.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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.

Genji KawakitaGraduate School of Arts and Science, The University of Tokyo, Tokyo, Japan.
Ariel Zeleznikow-JohnstonSchool of Psychological Sciences, Monash University, Melbourne, VIC, Australia.
Ken TakedaGraduate School of Arts and Science, The University of Tokyo, Tokyo, Japan.
Naotsugu TsuchiyaSchool of Psychological Sciences, Monash University, Melbourne, VIC, Australia.
Masafumi OizumiGraduate School of Arts and Science, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whether one person's subjective experience of the "redness" of red is equivalent to another's is a fundamental question in consciousness studies. Intersubjective comparison of the relational structures of sensory experiences, termed "qualia structures", can constrain the question. We propose an unsupervised alignment method, based on optimal transport, to find the optimal mapping between the similarity structures of sensory experiences without presupposing correspondences (such as "red-to-red"). After collecting subjective similarity judgments for 93 colors, we showed that the similarity structures derived from color-neurotypical participants can be "correctly" aligned at the group level. In contrast, those of color-blind participants could not be aligned with color-neurotypical participants. Our results provide quantitative evidence for interindividual structural equivalence or difference of color qualia, implying that color-neurotypical people's "red" is relationally equivalent to other color-neurotypical's "red", but not to color-blind people's "red". This method is applicable across modalities, enabling general structural exploration of subjective experiences.

Indexed as

Psychology

Identifiers

PMID40124475
PMCPMC11926686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.