Evidence map›Paper›PMID 35380315›Full record

ArticleCognitive research: principles and implications2022

Masked face identification is improved by diagnostic feature training.

Daniel J Carragher, Alice Towler, Viktoria R Mileva, David White, Peter J B Hancock

Open access · goldAbstract read
In one paragraph

Article in Cognitive research: principles and implications, 2022. 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
2.2field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Daniel J CarragherPsychology, Faculty of Natural Sciences, University of Stirling, Stirling, Scotland, UK. danieljcarragher@gmail.com.
Alice TowlerSchool of Psychology, University of New South Wales, Sydney, NSW, Australia.
Viktoria R MilevaPsychology, Faculty of Natural Sciences, University of Stirling, Stirling, Scotland, UK.
David WhiteSchool of Psychology, University of New South Wales, Sydney, NSW, Australia.
Peter J B HancockPsychology, Faculty of Natural Sciences, University of Stirling, Stirling, Scotland, UK.
University of Stirling · GBUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To slow the spread of COVID-19, many people now wear face masks in public. Face masks impair our ability to identify faces, which can cause problems for professional staff who identify offenders or members of the public. Here, we investigate whether performance on a masked face matching task can be improved by training participants to compare diagnostic facial features (the ears and facial marks)-a validated training method that improves matching performance for unmasked faces. We show this brief diagnostic feature training, which takes less than two minutes to complete, improves matching performance for masked faces by approximately 5%. A control training course, which was unrelated to face identification, had no effect on matching performance. Our findings demonstrate that comparing the ears and facial marks is an effective means of improving face matching performance for masked faces. These findings have implications for professions that regularly perform face identification.

Indexed as

COVID-19DiGeorge SyndromeFacial RecognitionHeadHumansRecognition, PsychologyCOVID-19Face matchingFace recognitionFacial image comparisonKnowledge elicitationMasks

Identifiers

PMID35380315
PMCPMC8980792
OpenAlexW4225728440

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.