Accounting for Private Taste: Facial shape analysis of Attractiveness and Inter-individual Variance

Jan Mikuni, Takumi Tanaka, Daisuke Shimane, Koyo Nakamura, Katsumi Watanabe

Veröffentlichungen: Beitrag in BuchBeitrag in KonferenzbandPeer Reviewed

Abstract

Attractiveness is an important facial attribute, which could largely influence individuals' impressions or social relationship. Lately, numerous studies have examined the morphological facial features driving attractiveness. Notably, most of the studies have postulated the “ground-truth”, universal standards of facial attractiveness. However, in fact, it is well-reported that there are inter-individual differences in attractiveness judgments. These individual differences may be derived from individual preferences for certain morphological features in the faces. Nevertheless, there has been no direct empirical study to investigate the variances in the evaluation of facial attractiveness. In this study, we examined the quantitative relationships between morphological facial features and the judgments of attractiveness ratings for the faces. We found that the variances in attractiveness ratings could be partly predicted by some traditional machine learning, and that the sharpness of face outlines and morphological features representing the smile expression could have impacts on the amounts of the variances.
OriginalspracheEnglisch
Titel2020 12th International Conference on Knowledge and Smart Technology (KST)
ErscheinungsortPiscataway, NJ
Herausgeber (Verlag)IEEE
Seiten203-206
Seitenumfang4
ISBN (elektronisch)978-1-7281-4466-5, 978-1-7281-4465-8
ISBN (Print)978-1-7281-4467-2
DOIs
PublikationsstatusVeröffentlicht - 2020
Extern publiziertJa

Publikationsreihe

ReiheInternational Conference on Knowledge and Smart Technology

ÖFOS 2012

  • 501001 Allgemeine Psychologie

Zitationsweisen