Evidence map›Paper›PMID 32116960›Full record

ReviewFrontiers in psychology2020

Face Adaptation and Face Priming as Tools for Getting Insights Into the Quality of Face Space.

Ronja Mueller, Sandra Utz, Claus-Christian Carbon, Tilo Strobach

Abstract readReview
In one paragraph

Review in Frontiers in psychology, 2020. 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
–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

14 citing papers in PubMed.

  1. Face adaptation: Investigating non-configural contrast alterations.Attention, perception & psychophysics · 2025
    Article
  2. Contrastive adaptation effects along a voice-nonvoice continuum.Journal of experimental psychology. General · 2025
    Article
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  6. Review
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  9. Review
  10. Behind the Mask: Recognizing Facial Features of Parkinson's Disease During the COVID-19 Pandemic.Movement disorders : official journal of the Movement Disorder Society · 2021
    Article
  11. Article
  12. Face Adaptation Effects on Non-Configural Face Information.Advances in cognitive psychology · 2021
    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.

Ronja MuellerMedical School Hamburg, Hamburg, Germany.
Sandra UtzBamberg Graduate School of Affective and Cognitive Sciences, University of Bamberg, Bamberg, Germany.
Claus-Christian CarbonBamberg Graduate School of Affective and Cognitive Sciences, University of Bamberg, Bamberg, Germany.
Tilo StrobachMedical School Hamburg, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the recognition of faces, the incoming perceptual information is matched against mental representations of familiar faces stored in memory. Face space models describe an abstract concept of face representations and their mental organization, in which facial representations are located on various characteristic dimensions, depending on their specific facial characteristics. However, these models are defined just as incompletely as the general understanding of face recognition. We took two phenomena from face processing to better understand face recognition, and so the nature of face space: face adaptation and face priming. The face literature has mainly focused on face adaptation, largely neglecting face priming when trying to integrate outcomes regarding face recognition into the face space framework. Consequently, the present paper aims to review both phenomena and their contributions to face recognition, representation, and face space.

Indexed as

face adaptationface perceptionface primingface processing modelface spacemental representation

Identifiers

PMID32116960
PMCPMC7020016

What OpenQuestion holds

Textmetadata
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.