Signatures of personality on dense 3D facial images

Abstract 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 personal...

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Autores principales:	Sile Hu, Jieyi Xiong, Pengcheng Fu, Lu Qiao, Jingze Tan, Li Jin, Kun Tang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/92093c809594471e8ecc3a4099addd4c
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id	oai:doaj.org-article:92093c809594471e8ecc3a4099addd4c
record_format	dspace
spelling	oai:doaj.org-article:92093c809594471e8ecc3a4099addd4c2021-12-02T15:06:03ZSignatures of personality on dense 3D facial images10.1038/s41598-017-00071-52045-2322https://doaj.org/article/92093c809594471e8ecc3a4099addd4c2017-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00071-5https://doaj.org/toc/2045-2322Abstract 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.Sile HuJieyi XiongPengcheng FuLu QiaoJingze TanLi JinKun TangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sile Hu Jieyi Xiong Pengcheng Fu Lu Qiao Jingze Tan Li Jin Kun Tang Signatures of personality on dense 3D facial images
description	Abstract 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.
format	article
author	Sile Hu Jieyi Xiong Pengcheng Fu Lu Qiao Jingze Tan Li Jin Kun Tang
author_facet	Sile Hu Jieyi Xiong Pengcheng Fu Lu Qiao Jingze Tan Li Jin Kun Tang
author_sort	Sile Hu
title	Signatures of personality on dense 3D facial images
title_short	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_sort	signatures of personality on dense 3d facial images
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/92093c809594471e8ecc3a4099addd4c
work_keys_str_mv	AT silehu signaturesofpersonalityondense3dfacialimages AT jieyixiong signaturesofpersonalityondense3dfacialimages AT pengchengfu signaturesofpersonalityondense3dfacialimages AT luqiao signaturesofpersonalityondense3dfacialimages AT jingzetan signaturesofpersonalityondense3dfacialimages AT lijin signaturesofpersonalityondense3dfacialimages AT kuntang signaturesofpersonalityondense3dfacialimages
_version_	1718388597309046784

Signatures of personality on dense 3D facial images

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