Evidence map›Paper›PMID 34162959›Full record

ArticleScientific reports2021

Psychophysical profiles in super-recognizers.

Jeffrey D Nador, Matteo Zoia, Matthew V Pachai, Meike Ramon

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
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  8. Article
  9. Improving forensic perpetrator identification with Super-Recognizers.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. 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.

Jeffrey D NadorDepartment of Psychology, Applied Face Cognition Lab, University of Fribourg, Rue P.-A. de Faucigny 2, 1700, Fribourg, Switzerland.ORCID 0000-0002-6502-7226
Matteo ZoiaDepartment of Psychology, Applied Face Cognition Lab, University of Fribourg, Rue P.-A. de Faucigny 2, 1700, Fribourg, Switzerland.
Matthew V PachaiPerceptual Neuroscience Laboratory, York University, Toronto, Canada.ORCID 0000-0003-4427-257X
Meike RamonDepartment of Psychology, Applied Face Cognition Lab, University of Fribourg, Rue P.-A. de Faucigny 2, 1700, Fribourg, Switzerland. meike.ramon@gmail.com.ORCID 0000-0001-5753-5493

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Facial identity matching ability varies widely, ranging from prosopagnosic individuals (who exhibit profound impairments in face cognition/processing) to so-called super-recognizers (SRs), possessing exceptional capacities. Yet, despite the often consequential nature of face matching decisions-such as identity verification in security critical settings-ability assessments tendentially rely on simple performance metrics on a handful of heterogeneously related subprocesses, or in some cases only a single measured subprocess. Unfortunately, methodologies of this ilk leave contributions of stimulus information to observed variations in ability largely un(der)specified. Moreover, they are inadequate for addressing the qualitative or quantitative nature of differences between SRs' abilities and those of the general population. Here, therefore, we sought to investigate individual differences-among SRs identified using a novel conservative diagnostic framework, and neurotypical controls-by systematically varying retinal availability, bandwidth, and orientation of faces' spatial frequency content in two face matching experiments. Psychophysical evaluations of these parameters' contributions to ability reveal that SRs more consistently exploit the same spatial frequency information, rather than suggesting qualitatively different profiles between control observers and SRs. These findings stress the importance of optimizing procedures for SR identification, for example by including measures quantifying the consistency of individuals' behavior.

Indexed as

AdultAptitudeFacial RecognitionFemaleHumansIndividualityLogistic ModelsMaleMiddle AgedPhotographyPsychophysiologyYoung Adult

Identifiers

PMID34162959
PMCPMC8222339

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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.