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Methodological issues when using face prototypes: A case study on the Faceaurus dataset

Prototype faces, created by averaging faces from several individuals sharing a common characteristic (for example a certain personality trait), can be used for highly informative experimental designs in face research. Although the facial prototype method is both ingenious and useful, we argue that i...

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Detalles Bibliográficos
Autores principales: Bovet, Jeanne, Tognetti, Arnaud, Pollet, Thomas V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426020/
https://www.ncbi.nlm.nih.gov/pubmed/37588902
http://dx.doi.org/10.1017/ehs.2022.25
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author Bovet, Jeanne
Tognetti, Arnaud
Pollet, Thomas V.
author_facet Bovet, Jeanne
Tognetti, Arnaud
Pollet, Thomas V.
author_sort Bovet, Jeanne
collection PubMed
description Prototype faces, created by averaging faces from several individuals sharing a common characteristic (for example a certain personality trait), can be used for highly informative experimental designs in face research. Although the facial prototype method is both ingenious and useful, we argue that its implementation is associated with three major issues: lack of external validity and non-independence of the units of information, both aggravated by a lack of transparency regarding the methods used and their limitations. Here, we describe these limitations and illustrate our claims with a systematic review of studies creating facial stimuli using the prototypes dataset ‘Faceaurus’. We then propose some solutions that can eliminate or reduce these problems. We provide recommendations for future research employing this method on how to produce more generalisable and replicable results.
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spelling pubmed-104260202023-08-16 Methodological issues when using face prototypes: A case study on the Faceaurus dataset Bovet, Jeanne Tognetti, Arnaud Pollet, Thomas V. Evol Hum Sci Methods Paper Prototype faces, created by averaging faces from several individuals sharing a common characteristic (for example a certain personality trait), can be used for highly informative experimental designs in face research. Although the facial prototype method is both ingenious and useful, we argue that its implementation is associated with three major issues: lack of external validity and non-independence of the units of information, both aggravated by a lack of transparency regarding the methods used and their limitations. Here, we describe these limitations and illustrate our claims with a systematic review of studies creating facial stimuli using the prototypes dataset ‘Faceaurus’. We then propose some solutions that can eliminate or reduce these problems. We provide recommendations for future research employing this method on how to produce more generalisable and replicable results. Cambridge University Press 2022-10-28 /pmc/articles/PMC10426020/ /pubmed/37588902 http://dx.doi.org/10.1017/ehs.2022.25 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Paper
Bovet, Jeanne
Tognetti, Arnaud
Pollet, Thomas V.
Methodological issues when using face prototypes: A case study on the Faceaurus dataset
title Methodological issues when using face prototypes: A case study on the Faceaurus dataset
title_full Methodological issues when using face prototypes: A case study on the Faceaurus dataset
title_fullStr Methodological issues when using face prototypes: A case study on the Faceaurus dataset
title_full_unstemmed Methodological issues when using face prototypes: A case study on the Faceaurus dataset
title_short Methodological issues when using face prototypes: A case study on the Faceaurus dataset
title_sort methodological issues when using face prototypes: a case study on the faceaurus dataset
topic Methods Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426020/
https://www.ncbi.nlm.nih.gov/pubmed/37588902
http://dx.doi.org/10.1017/ehs.2022.25
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