Accounting for private taste: Facial shape analysis of attractiveness and inter-individual variance

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

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトルKST 2020 - 2020 12th International Conference on Knowledge and Smart Technology
出版者Institute of Electrical and Electronics Engineers Inc.
ページ203-206
ページ数4
ISBN(電子版)9781728144665
DOI
出版物ステータスPublished - 2020 1
イベント12th International Conference on Knowledge and Smart Technology, KST 2020 - Pattaya, Chonburi, Thailand
継続期間: 2020 1 292020 2 1

出版物シリーズ

名前KST 2020 - 2020 12th International Conference on Knowledge and Smart Technology

Conference

Conference12th International Conference on Knowledge and Smart Technology, KST 2020
Thailand
Pattaya, Chonburi
期間20/1/2920/2/1

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Decision Sciences (miscellaneous)
  • Information Systems and Management

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    Tanaka, T., Mikuni, J., Shimane, D., Nakamura, K., & Watanabe, K. (2020). Accounting for private taste: Facial shape analysis of attractiveness and inter-individual variance. : KST 2020 - 2020 12th International Conference on Knowledge and Smart Technology (pp. 203-206). [9059511] (KST 2020 - 2020 12th International Conference on Knowledge and Smart Technology). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/KST48564.2020.9059511