| Literature DB >> 25883888 |
Kana Kuraguchi1, Kosuke Taniguchi2, Hiroshi Ashida1.
Abstract
Beauty and cuteness are considered to represent different aspects of attractiveness and to be distinguishable from each other by their respective reliance on neonate and sexually mature features found in attractive faces. In this study, we investigated whether baby schema features in adult faces affect not only cuteness, but also beauty and attractiveness. We also investigated possible differences among attractiveness, beauty, and cuteness, and possible effects of perceived youth on these judgments. Results showed that baby schema features affected judgments of attractiveness, beauty, and cuteness, but that perceived youth did not significantly influence these judgments. Furthermore, the effect of each facial feature differed across rating types with the participants' naïve interpretation of rating categories. This suggests that beauty predominantly refers to sexual attraction, while attractiveness refers to a non-sexual attraction regardless of participants' gender. However, gender differences may exist in judging cuteness. Therefore, expressions related to attractiveness may incorporate different elements and this distinction may not be fully shared across gender.Entities:
Keywords: Attractiveness; Baby schema; Beauty; Cuteness; Face perception
Year: 2015 PMID: 25883888 PMCID: PMC4393829 DOI: 10.1186/s40064-015-0940-8
Source DB: PubMed Journal: Springerplus ISSN: 2193-1801
Figure 1Facial landmarks for measurement. We calculated (the distance between p1 and p2)/(the distance between p1 and p3) for the vertical forehead-to-face ratio, (the distance between p6 and p7)/(the distance between p1 and p3) for the vertical eye-to-face ratio, and (the distance between p6 and p7)/(the distance between p4 and p5) for the roundness of the eye. Eye size was calculated separately for the right and the left eye.
Summary of the results
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| The forehead-to-face ratio | 0.377 | 0.242 | 0.296 (0.026) |
| The | 0.072 | 0.049 | 0.058 (0.006) |
| The | 0.071 | 0.047 | 0.058 (0.005) |
| The roundness of the | 0.476 | 0.331 | 0.398 (0.035) |
| The roundness of the | 0.445 | 0.323 | 0.390 (0.030) |
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| Attractiveness | 4.45 | 2.20 | 3.19 (0.749) |
| Beauty | 4.55 | 2.00 | 3.24 (0.780) |
| Cuteness | 4.80 | 1.90 | 3.25 (0.871) |
| Age | 30.6 | 18.3 | 25.18 (3.03) |
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| Attractiveness | 4.60 | 2.10 | 3.12 (0.814) |
| Beauty | 4.55 | 2.25 | 3.08 (0.784) |
| Cuteness | 4.45 | 1.85 | 2.92 (0.813) |
| Age | 27.5 | 20.5 | 23.61 (1.99) |
Figure 2The initial model. One-sided arrows represent causal relationships.
Figure 3SEM path diagrams for the combined data set. Panel (A) is for female participants, and panel (B) is for male participants. The estimated associations represented by one-sided arrows representing partial regression coefficients and by double-sided arrows representing the partial correlations. The path coefficient values are shown on the arrows, with the significance levels highlighted as follows: * (p < .05), ** (p < .01), and *** (p < .001).
Figure 4SEM path diagram for the initial block data. Panel (A) is for female participants, and panel (B) is for male participants.