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Signatures of personality on dense 3D facial images

It has long been speculated that cues on the human face exist that allow observers to make reliable judgments of others’ personality traits. However, direct evidence of association between facial shapes and personality is missing from the current literature. This study assessed the personality attri...

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Detalles Bibliográficos
Autores principales: Hu, Sile, Xiong, Jieyi, Fu, Pengcheng, Qiao, Lu, Tan, Jingze, Jin, Li, Tang, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428336/
https://www.ncbi.nlm.nih.gov/pubmed/28250433
http://dx.doi.org/10.1038/s41598-017-00071-5
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author Hu, Sile
Xiong, Jieyi
Fu, Pengcheng
Qiao, Lu
Tan, Jingze
Jin, Li
Tang, Kun
author_facet Hu, Sile
Xiong, Jieyi
Fu, Pengcheng
Qiao, Lu
Tan, Jingze
Jin, Li
Tang, Kun
author_sort Hu, Sile
collection PubMed
description It has long been speculated that cues on the human face exist that allow observers to make reliable judgments of others’ personality traits. However, direct evidence of association between facial shapes and personality is missing from the current literature. This study assessed the personality attributes of 834 Han Chinese volunteers (405 males and 429 females), utilising the five-factor personality model (‘Big Five’), and collected their neutral 3D facial images. Dense anatomical correspondence was established across the 3D facial images in order to allow high-dimensional quantitative analyses of the facial phenotypes. In this paper, we developed a Partial Least Squares (PLS) -based method. We used composite partial least squares component (CPSLC) to test association between the self-tested personality scores and the dense 3D facial image data, then used principal component analysis (PCA) for further validation. Among the five personality factors, agreeableness and conscientiousness in males and extraversion in females were significantly associated with specific facial patterns. The personality-related facial patterns were extracted and their effects were extrapolated on simulated 3D facial models.
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spelling pubmed-54283362017-05-15 Signatures of personality on dense 3D facial images Hu, Sile Xiong, Jieyi Fu, Pengcheng Qiao, Lu Tan, Jingze Jin, Li Tang, Kun Sci Rep Article It has long been speculated that cues on the human face exist that allow observers to make reliable judgments of others’ personality traits. However, direct evidence of association between facial shapes and personality is missing from the current literature. This study assessed the personality attributes of 834 Han Chinese volunteers (405 males and 429 females), utilising the five-factor personality model (‘Big Five’), and collected their neutral 3D facial images. Dense anatomical correspondence was established across the 3D facial images in order to allow high-dimensional quantitative analyses of the facial phenotypes. In this paper, we developed a Partial Least Squares (PLS) -based method. We used composite partial least squares component (CPSLC) to test association between the self-tested personality scores and the dense 3D facial image data, then used principal component analysis (PCA) for further validation. Among the five personality factors, agreeableness and conscientiousness in males and extraversion in females were significantly associated with specific facial patterns. The personality-related facial patterns were extracted and their effects were extrapolated on simulated 3D facial models. Nature Publishing Group UK 2017-03-06 /pmc/articles/PMC5428336/ /pubmed/28250433 http://dx.doi.org/10.1038/s41598-017-00071-5 Text en © The Author(s) 2017 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Hu, Sile
Xiong, Jieyi
Fu, Pengcheng
Qiao, Lu
Tan, Jingze
Jin, Li
Tang, Kun
Signatures of personality on dense 3D facial images
title Signatures of personality on dense 3D facial images
title_full Signatures of personality on dense 3D facial images
title_fullStr Signatures of personality on dense 3D facial images
title_full_unstemmed Signatures of personality on dense 3D facial images
title_short Signatures of personality on dense 3D facial images
title_sort signatures of personality on dense 3d facial images
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428336/
https://www.ncbi.nlm.nih.gov/pubmed/28250433
http://dx.doi.org/10.1038/s41598-017-00071-5
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