Evidence map›Paper›PMID 34100202›Full record

ArticleBehavior research methods2022

Transforming faces to mimic natural kin: A comparison of different paradigms.

Christophe A H Bousquet, Gwenaël Kaminski

Open access · bronzeAbstract read
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In one paragraph

Article in Behavior research methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 1 country.

Christophe A H BousquetCognition, Langues, Langage, Ergonomie (CLLE, UMR5263), Université Toulouse Jean Jaurès, 5 allée Antonio Machado, 31058, Toulouse cedex 9, France. chr_bousquet@protonmail.com.ORCID 0000-0003-1650-8004
Gwenaël KaminskiCognition, Langues, Langage, Ergonomie (CLLE, UMR5263), Université Toulouse Jean Jaurès, 5 allée Antonio Machado, 31058, Toulouse cedex 9, France.
Institut Universitaire de France · FRLaboratoire Cognition, Langues, Langage, Ergonomie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to detect phenotypic similarity or kinship in third-parties' faces is not perfect, but better than chance. Still, some humans are better than others at this task. Yet researchers in kinship detection have difficulties in building up large and diverse datasets of high-quality pictures of related persons. The current experiments tested a novel method for circumventing this difficulty by using morphing techniques in order to generate a wide array of stimuli derived from a limited number of individual pictures. Six experiments tested various stimuli (standard protocol, mirrored face, other-sex face, other-ethnicity face, other-expression face and antiface). Our benchmarks are the similarity or kinship scores achieved by participants when faced with pictures of real siblings. We show that all stimuli, except the antiface, elicit detection scores similar to those elicited by real pictures of actual siblings. In addition, by exploring different experiment parameters (simultaneous or sequential task, kinship or similarity task) and some individual characteristics, these experiments provide a better understanding of kinship detection in third parties. The validation of our new method will allow widening the range of available stimuli to the research community, and even to develop new ecologically relevant experimental protocols that are hardly or not feasible with veridical images.

Indexed as

FaceHumansKinship detectionMorphed facesNatural siblingsSimilarity detection

Identifiers

PMID34100202
OpenAlexW3169726480

What OpenQuestion holds

Textmetadata
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.