Evidence map›Paper›PMID 36061242›Full record

Articlei-Perception2022

Race categorization in noise.

Peter de Lissa, Katsumi Watanabe, Li Gu, Tatsunori Ishii, Koyo Nakamura, Taiki Kimura, Amane Sagasaki, Roberto Caldara

Abstract read
In one paragraph

Article in i-Perception, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Frequency-tagged EEG reveals category-selective responses to face race.Social cognitive and affective neuroscience · 2026
    Article
  2. Article
  3. The speed of race.Social cognitive and affective neuroscience · 2024
    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

8 authors.

Peter de LissaUniversity of Fribourg, Fribourg, Switzerland.ORCID https://orcid.org/0000-0003-3596-5075
Katsumi WatanabeWaseda University, Tokyo, Japan.
Li GuSchool of Innovation Design, Guangzhou Academy of Fine Arts, Guangzhou, China.
Tatsunori IshiiJapan Womens' University, Tokyo, Japan; Waseda University, Tokyo, Japan.
Koyo NakamuraUniversity of Vienna, Vienna, Austria; Japan Society for the Promotion of Science, Tokyo, Japan; Waseda University, Tokyo, Japan.
Taiki KimuraWaseda University, Tokyo, Japan.
Amane SagasakiWaseda University, Tokyo, Japan.
Roberto CaldaraUniversity of Fribourg, Fribourg, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People are typically faster to categorize the race of a face if it belongs to a race different from their own. This Other Race Categorization Advantage (ORCA) is thought to reflect an enhanced sensitivity to the visual race signals of other race faces, leading to faster response times. The current study investigated this sensitivity in a cross-cultural sample of Swiss and Japanese observers with a race categorization task using faces that had been parametrically degraded of visual structure, with normalized luminance and contrast. While Swiss observers exhibited an increasingly strong ORCA in both reaction time and accuracy as the face images were visually degraded up to 20% structural coherence, the Japanese observers manifested this pattern most distinctly when the faces were fully structurally-intact. Critically, for both observer groups, there was a clear accuracy effect at the 20% structural coherence level, indicating that the enhanced sensitivity to other race visual signals persists in significantly degraded stimuli. These results suggest that different cultural groups may rely on and extract distinct types of visual race signals during categorization, which may depend on the available visual information. Nevertheless, heavily degraded stimuli specifically favor the perception of other race faces, indicating that the visual system is tuned by experience and is sensitive to the detection of unfamiliar signals.

Indexed as

face processingother-race face categorization advantagerace

Identifiers

PMID36061242
PMCPMC9437912

What OpenQuestion holds

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LicenceCC BY
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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.