ArticlePDF Available

Facial attractiveness and preference of sexual dimorphism: A comparison across five populations

Authors:

Abstract

Despite intensive research, evolutionary psychology has not yet reached a consensus regarding the association between sexual dimorphism and attractiveness. This study examines associations between perceived and morphological facial sexual dimorphism and perceived attractiveness in samples from five distant countries (Cameroon, Colombia, Czechia, Iran and Turkey). We also examined possible moderating effects of skin lightness, averageness, age, body mass and facial width. Our results suggest that in all samples, women's perceived femininity was positively related to their perceived attractiveness. Women found perceived masculinity in men attractive only in Czechia and Colombia, two distant populations. The association between perceived sexual dimorphism and attractiveness is thus potentially universal only for women. Across populations, morphological sexual dimorphism and averageness are not universally associated with either perceived facial sexual dimorphism or attractiveness. With our exploratory approach, results highlight the need for control of which measure of sexual dimorphism is used (perceived or measured) because they affect perceived attractiveness differently. Morphological averageness and sexual dimorphism are not good predictors of perceived attractiveness. It is noted that future studies should use samples from multiple populations to allow for identification of specific effects of local environmental and socioeconomic conditions on preferred traits in unmanipulated local facial stimuli.
RESEARCH ARTICLE
Facial attractiveness and preference of sexual
dimorphism: A comparison across five populations
Vojtěch Fiala1* , Vít Třebický1,2, Farid Pazhoohi3, Juan David Leongómez4, Petr Tureček1,
S. Adil Saribay5, Robert Mbe Akoko6and Karel Kleisner1
1
Department of Philosophy and History of Science, Faculty of Science, Charles University, Viničná 7, 128 44 Prague, Czech
Republic,
2
Faculty of Physical Education and Sport, Charles University, Prague, Czech Republic,
3
Department of Psychology,
University of British Columbia, 2136 West Mall, Vancouver, British Columbia, V6T 1Z4, Canada,
4
Human Behaviour
Laboratory, Faculty of Psychology, Universidad El Bosque, Bogota, Colombia,
5
Department of Psychology, Kadir Has
University, Istanbul, Turkey and
6
Department of Communication and Development Studies, University of Bamenda,
Cameroon
*Corresponding author. E-mail: fialavoj@natur.cuni.cz
Abstract
Despite intensive research, evolutionary psychology has not yet reached a consensus regarding the associ-
ation between sexual dimorphism and attractiveness. This study examines associations between perceived
and morphological facial sexual dimorphism and perceived attractiveness in samples from five distant coun-
tries (Cameroon, Colombia, Czechia, Iran and Turkey). We also examined possible moderating effects of
skin lightness, averageness, age, body mass and facial width. Our results suggest that in all samples, womens
perceived femininity was positively related to their perceived attractiveness. Women found perceived mas-
culinity in men attractive only in Czechia and Colombia, two distant populations. The association between
perceived sexual dimorphism and attractiveness is thus potentially universal only for women. Across
populations, morphological sexual dimorphism and averageness are not universally associated with either
perceived facial sexual dimorphism or attractiveness. With our exploratory approach, results highlight the
need for control of which measure of sexual dimorphism is used (perceived or measured) because they affect
perceived attractiveness differently. Morphological averageness and sexual dimorphism are not good predic-
tors of perceived attractiveness. It is noted that future studies should use samples from multiple populations
to allow for identification of specific effects of local environmental and socioeconomic conditions on
preferred traits in unmanipulated local facial stimuli.
Keywords: Human face; skin luminance; sexual dimorphism; averageness; geometric morphometrics
Social media summary: Morphological sexual dimorphism is not universally associated with per-
ceived facial sexual dimorphism and attractiveness
1. Introduction
According to the signalling theory, facial traits which are perceived as attractive are considered honest
cues of biological fitness (Gangestad & Scheyd, 2005; Thornhill & Gangestad, 1999;Kościński, 2007,
2008), in particular healthiness and viability (Henderson et al., 2016; Rhodes et al., 2003), hormone-
based development of secondary sexual characteristics and fertility (Law Smith et al., 2006; Rantala
et al., 2012; Whitehouse et al., 2015). They also provide specific cues to psychological characteristics
that are important in partnership and childbearing, such as faithfulness (Boothroyd et al., 2008) and
willingness to cooperate (Stirrat & Perrett, 2010).
© The Author(s), 2021. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative
Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction
in any medium, provided the original work is properly cited.
Evolutionary Human Sciences (2021), 3, e38, page 1 of 24
doi:10.1017/ehs.2021.33
Although there is some variation in the perception of facial attractiveness between individuals
belonging to the same local population (Bronstad & Russell, 2007; Germine et al., 2015; Hönekopp,
2006; Kramer et al., 2018), people from similar cultural backgrounds tend to perceive facial attractive-
ness similarly (Kowner & Ogawa, 1995; Langlois et al., 2000; Little & Hancock, 2002; Strzałko &
Kaszycka, 1992).
While there is some evidence that supports a hypothesis of cross-cultural consensus on attractive-
ness ratings (Burke et al., 2013; Coetzee et al., 2014; Langlois et al., 2000), a growing number of studies
report mixed results regarding agreement between samples from distant countries (Apicella et al.,
2007; Jones & Hill, 1993; Sorokowski, Kościński, et al., 2013; Zebrowitz et al., 2012). It is not, however,
the case that members of distant populations either agree or disagree entirely on which traits are per-
ceived as attractive. Instead, some facial traits are preferred across distant samples while others are not.
For example, youthfulness (Buss, 1989; Maestripieri et al., 2014; McLellan & McKelvie, 1993) and
average facial traits (Deffenbacher et al., 1998; Komori et al., 2009; Rhodes et al., 2001; cf. Apicella
et al., 2007) are preferred universally.
Aside from that, there is a cross-cultural agreement concerning preferences regarding facial skin
colouration. Lighter-skinned women are perceived as more attractive than darker-skinned women
within a given population (Aoki, 2002; Badaruddoza, 2007; Carrito et al., 2016; Dixson et al., 2010;
van den Berghe & Frost, 1986; Wagatsuma, 1967), but for some dark-skinned populations, the results
are less conclusive (Dixson et al., 2017; Sorokowski, Sorokowska, et al., 2013). Moreover, in a cross-
cultural comparison, skin colouration variance is an important trait for ratings of ethnic typicality
and attractiveness for African raters, while it is less important for ratings made by Europeans regard-
less of the ethnic origin of the presented stimulus faces (Coetzee et al., 2014; Strom et al., 2012;
Kleisner et al., 2017).
On the other hand, preference for facial sexual dimorphism (how well the development of facial
shape and colouration represents features typical for a given sex) varies substantially across popula-
tions from distant countries, especially with respect to male faces (DeBruine, Jones, Crawford,
et al., 2010; Marcinkowska et al., 2019, and citations below).
Such differences in attractiveness perception between populations from distant countries contradict
the assumption that facial attractiveness serves as a cue of biological quality. A plausible evolutionary-
based explanation is that in populations that live in different environments, preferred traits may vary
because different characteristics are optimal for survival and reproduction under different environ-
mental conditions (DeBruine, Jones, Crawford, et al., 2010; Lee & Zietsch, 2011; Little et al., 2007).
1.1. Morphological and perceived sexual dimorphism and attractiveness
During ontogeny, the facial traits of men and women gradually diverge owing to the action of sex
steroids (Marečková et al., 2011; Whitehouse et al., 2015). As a result, adult faces acquire sexually
dimorphic features (Hausman, 1999; Mooradian et al., 1987; Worthman, 1995).
Higher levels of perceived feminine characteristics in womens faces are associated with higher per-
ceived attractiveness, as evidenced by previous studies that used non-manipulated womens faces (Foo,
Simmons, et al., 2017; Muñoz-Reyes et al., 2015; Scott et al., 2010), manipulated composite female
facial stimuli (Perrett et al., 1994,1998; Rhodes et al., 2000; Smith et al., 2009) and even manipulated
individual womens faces (Mogilski & Welling, 2017; for a review, see Rhodes, 2006). Women with
more sex-typical (more feminine) facial features were also shown to have relatively higher oestrogen
levels (Durante & Li, 2009; Law Smith et al., 2006; Probst et al., 2016). There is evidence from a
US sample to the effect that fertility is positively associated with oestrogen levels (Lipson & Ellison,
1996). On the other hand, in deprived, poorer and rural populations where women generally
have lower sex hormone levels fertility is relatively high (Vitzhum, 2009; Vitzhum et al., 2002). It
has also been shown that the preference for femininity in womens faces is weaker in deprived popula-
tions and populations with worse health indices (De Barra et al., 2013; Marcinkowska et al., 2014;
Penton-Voak et al., 2004).
2 Vojtěch Fiala et al.
With respect to preference for mens facial sexual dimorphism, the evidence is mixed. Some studies
report preferences for less masculine features in mens faces (Perrett et al., 1998; Rhodes et al., 2000),
others show preferences for more masculine features (Foo, Simmons, et al., 2017; Johnston et al., 2001;
Peters et al., 2008; Skrinda et al., 2014). A number of studies found preferences for neither masculine
nor feminine features in male faces (Mogilski & Welling, 2017; Penton-Voak & Chen, 2004; Scott
et al., 2010; Stephen et al., 2012). It has been suggested that methodological differences in stimuli
manipulation are at least in part responsible for such mixed results (Rennels et al., 2008; Rhodes,
2006), but it is also possible that distant populations actually differ in preferred male facial traits.
The usual approach to addressing this variation in results is to test adaptive hypotheses on fitness out-
comes of preference of certain traits across various populations (Brooks et al., 2011; DeBruine et al.,
2011; DeBruine, Jones, Crawford, et al., 2010).
Masculine features may be cues to health. Men with masculine facial features have been considered
more immunocompetent (Foo, Nakagawa, et al., 2017; cf. Nowak et al., 2018; Rantala et al., 2012) and
healthier than their less masculine peers (Rhodes et al., 2003; Thornhill & Gangestad, 2006; see also
Moore et al., 2011; Rantala et al., 2012). It is thus hypothesised that by preferring more masculine men,
women try to increase their chances of acquiring a healthier mate who would have more immunocom-
petent offspring.
Moreover, formidability and resource holding potential, i.e. an individuals willingness to engage in
conflict over resources stemming from his/her ability to obtain or withdraw resources from a rival
(Třebický et al., 2019), are also cued by masculine facial features (Boothroyd et al., 2007; Carre &
McCormick, 2008; Stirrat & Perrett, 2010; Swaddle & Reierson, 2002;Třebický et al., 2015).
Women who are endangered by unequal resource distribution (e.g. owing to economic inequality)
may prefer more masculine men because such men are more likely to obtain resources for their fam-
ilies (Brooks et al., 2011; Little et al., 2013). Moreover, the preference for masculine men seems adap-
tive because a formidable and dominant partner can better protect his mate against violence and harm
(Ryder et al., 2016).
Nevertheless, masculinity is also linked to the risk of testosterone-associated antisocial behaviours
(van Bokhoven et al., 2006), higher divorce probability (Booth et al., 1993; Mazur & Michalek, 1998)
and low partner fidelity (Penton-Voak & Chen, 2004; Polo et al., 2019), which may all have a negative
impact on parental investment. All in all, women seem to face a trade-off between choosing a mascu-
line, immunocompetent and formidable mate, who could also harm and/or leave her, or a less mas-
culine but cooperative and more nurturing mate. Such a trade-off may lack a universal solution across
populations from distant countries.
1.2. The current study
Research on differences in the association between sexual dimorphism and perceived attractiveness
usually builds on a single set of manipulated facial stimuli, which are then used for a number of
sets of raters from distant populations in a hypothesis-driven research paradigm (DeBruine, Jones,
Crawford, et al., 2010; Marcinkowska et al., 2019; Scott et al., 2014). It could be objected, however,
that manipulation of sexual dimorphism may affect stimuli features in a way that need not be ecologic-
ally relevant to all of the investigated populations. Moreover, evaluation of faces by raters from a visu-
ally distinctive population may cause people to perform worse on trait attribution (Anzures et al.,
2013). The use of local faces therefore has clear advantages.
There are multiple evolutionary-based hypotheses which aim to explain both the consensus and
differences in preferences of various facial traits across people from distant populations (see above).
Moreover, it is not clear whether raters across distant populations prefer similar traits in local faces
and whether they interpret sexually dimorphic facial traits similarly.
We have therefore conducted a set of non-confirmatory analyses (following Scheel et al., 2020; see
also Nakamura & Watanabe, 2019) on the association between perceived facial attractiveness, per-
ceived and measured sexual dimorphism and other facial traits across populations from five distant
Evolutionary Human Sciences 3
countries (Cameroon, Colombia, Czechia, Iran and Turkey). In each country, we used only facial stim-
uli collected within the local population. Using various facial feature metrics and path analysis, we also
explored sample-specific patterns of serial and parallel mediation among the predictors of perceived
characteristics. Specifically, we used predictors that may affect perceived attractiveness, perceived sex-
ual dimorphism and measured sexual dimorphism, and mediate their relationship, namely morpho-
logical averageness, skin lightness, age, body mass index (BMI) and facial width to height ratio
(fWHR) (see Supplementary Material, Sections S1.1S1.4).
To avoid any confounding effects of stimuli manipulation on trait attribution (DeBruine, Jones,
Smith, et al., 2010; see also Kleisner et al., 2019; Rennels et al., 2008), we used unmanipulated facial
stimuli. Moreover, we used two measures of facial sexual dimorphism: (a) perceived sex-typicality
(perceived femininity in women and perceived masculinity in men); and (b) sexual shape dimorphism
of facial shape calculated from landmark-based geometric morphometrics. According to a recent
study, these two measures of facial sexual dimorphism are only moderately correlated (Mitteroecker
et al., 2015), presumably because perceived sex-typicality is also affected by skin lightness across popu-
lations (Carrito & Semin, 2019; van den Berghe & Frost, 1986).
Although this study is of an exploratory nature, we made several predictions (see Table 3a): based
on previous studies on the association between perceived and morphological sexual dimorphism
(Komori et al., 2011; Mitteroecker et al., 2015), we expect that perceived and measured sexual
dimorphism will be correlated in every sampled population positively, albeit weakly (r0.3).
Moreover, morphological averageness of facial configurations should be moderately positively
associated with perceived attractiveness (Jones & Jaeger, 2019).
Skin lightness may affect perceived sex-typicality and attractiveness mainly in Cameroon, given that
people of sub-Saharan African origin are more sensitive to facial skin colouration and lightness
variability as a cue for both facial attractiveness (Kleisner et al., 2017) and ethnic typicality (Strom
et al., 2012). Moreover, skin lightness has also been associated with perceived male sex-typicality and
healthiness in previous research based on people of European origin (Carrito & Semin, 2019). Skin
lightness should therefore negatively relate to perceived masculinity in male faces in all five samples.
We further predict that perceived femininity of womens faces will be associated with higher ratings
of attractiveness across all five population samples (Cameroon, Colombia, Czechia, Iran and Turkey)
regardless of their mutual distance and eventual cultural differences. It has been demonstrated that
perceived sex-typicality of women is an important component of their perceived facial attractiveness.
We therefore predict a strong association between perceived attractiveness and perceived femininity in
women in samples from all of the five populations (r0.8; see Foo, Simmons, et al., 2017; Koehler
et al., 2004).
Concerning the preference for male sex-typicality, there is substantial disagreement across popula-
tions from distant countries (Marcinkowska et al., 2019) and even between same-country samples
recruited from or primed to different socioeconomic conditions (DeBruine et al., 2011; Little,
Cohen, et al., 2007). This suggests the existence of various factors that may shape masculinity prefer-
ences uniquely in each country. We sampled populations from only five countries, which is why we
have only five data points on the cross-population level and therefore cannot anticipate which of those
forces would drive preferences in our samples. All predictions are summarised in Table 3a.
2. Methods
For detailed descriptions of stimuli acquisition, measurements, rating procedures and analyses, see
Supplementary Materials in the OSF entry for this study at https://osf.io/va8pg/?view_only=021e113
21855463f82fc64e6ceb5716a.
This study was approved by the Institutional Review Board of Charles University, Faculty of
Science. The photographed individuals and raters were informed about the purpose of data collection.
Photographed individuals signed informed consent and raters consented by clicking I agreein the
questionnaire.
4 Vojtěch Fiala et al.
2.1. Facial photos acquisition
As stimuli, we collected a total of 709 standardised frontal facial photographs (357 men and 352
women) from five countries (Cameroon, Colombia, Czechia, Iran and Turkey). Data about age, height
and body weight were collected from participants in Cameroon, Colombia, Czechia and Turkey, while
only information about age was collected from Iranian participants. We used a pre-existing available
photograph dataset of Iranian faces that has been acquired prior to the decision to use those photo-
graphs in this research and which lacked the information on the height and weight of the models. The
effect of relative weight therefore could not be tested in the Iranian sample. The number of stimuli per
sample and sex and samplesdescriptives are summarised in Table 1.
The Cameroonian stimuli were collected in two separate runs (2013 and 2016) and these two sets
were also rated separately. For the purpose of this study, the two Cameroonian samples were com-
bined, but analyses of the separate samples yielded results similar to analyses of the combined sample
(the alternative analyses are presented in Table S3 and Figure S5 in the Supplementary Material.).
The photographs were taken with digital cameras, using external light sources and homogeneous
white or grey backgrounds. Lighting conditions were not standardised across the samples but were
uniform within each sample (each country). All participants were asked to remove their glasses, facial
jewellery, other adornments or cosmetics, adopt a neutral facial expression and look directly into the
camera. All women in the Iranian set wore a hijab that covered hair, ears and part of their cheeks.
All photographs were adjusted to set the eyes horizontally at the same height and leave approximately
the same length of neck visible. They were subsequently cropped and exported at 500 × 700 px reso-
lution; see Section S2.1 in the Supplementary Material for further details of photo acquisition.
The stimuli were sampled by convenience and they do not represent the populations as a whole.
Nonetheless, each sample represents similar social strata within the society (young to middle-aged people,
mostly university students, academic staff and members of the general public whowere willing to help the
science). The composition of the samples was therefore comparable across the sampled populations.
2.2. Rating sessions
Raters from each country assessed only stimuli from their own country. The ratings were self-paced and
took part online (except for attractiveness of Cameroonian 2013 stimuli) using participantsown elec-
tronic devices. Stimuli appeared on the screen in a pseudo-randomised order. The questionnaires were
in English (Cameroon), Spanish (Colombia), Czech (Czechia), Farsi (Iran), and Turkish (Turkey).
Raters were not compensated for their participation. Attractiveness was rated only by opposite-sex raters
except for Turkey, where both male and female facial stimuli were rated by raters of both sexes (for
alternative analyses with the subset of opposite-sex raters, see Table S4 and Figure S5 in the
Supplementary Material). Perceived masculinity and femininity in the Cameroonian, Colombian, and
Turkish sample were rated by raters of both sexes, while in Czechia and Iran, perceived masculinity
and femininity were rated only by persons of the opposite sex. The number of stimuli in each country
is reported in Table 1. The number of raters in each category and associated descriptive statistics are
summarised in Table 2 and in Table S1 in the Supplementary Material. A detailed description of the
rating process is in the Supplementary Material (Section S2.2, Acquisition and processing of ratings).
Cameroonian stimuli from 2013 and 2016 were rated in two separate runs. Of all the datasets, only
the perceived attractiveness of Cameroonian stimuli collected in 2013 was not rated using Qualtrics. It
was rated in an offline purpose-made ImageRaterprogram visually similar to the Qualtrics interface.
Cameroonian raters assessed the stimuli on a verbally anchored seven-point Likert scale (1, not at all
attractive/masculine/feminine; 7, very attractive/masculine/feminine face). Each rater rated all the
stimuli within a given set. Raters were mostly university students who resided in towns and villages
of western Cameroonian provinces.
In Colombia, raters were recruited by JDL and his co-workers. They were mostly university students
from Bogota, D.C. The sample consisted of 997 raters (565 women). They rated only a randomly
Evolutionary Human Sciences 5
Table 1. Descriptive statistics of the stimuli sample
Sample NAge (mean ± SD) BMI (mean ± SD) CIELab L* (mean ± SD) fWHR (mean ± SD) SShD (mean ± SD)
Cameroonian women 100 22.01 ± 3.87 24.79 ± 4.56 38.88 ± 5.55 2.13 ± 0.16 0.0119 ± 0.0147
Cameroonian men 100 22.00 ± 2.61 23.11 ± 2.09 34.65 ± 5.23 2.10 ± 0.16 0.0119 ± 0.0130
Colombian women 66 20.71 ± 2.77 22.65 ± 3.15 67.37 ± 4.05 2.00 ± 0.12 0.0206 ± 0.0221
Colombian men 72 20.38 ± 2.42 22.92 ± 2.80 58.72 ± 5.31 1.99 ± 0.13 0.0189 ± 0.0258
Czech women 50 23.64 ± 4.33 22.16 ± 2.90 60.26 ± 4.27 1.95 ± 0.13 0.0189 ± 0.0185
Czech men 50 24.04 ± 3.92 22.38 ± 2.27 58.16 ± 2.32 1.89 ± 0.13 0.0189 ± 0.0156
Iranian women 43 20.63 ± 1.09 NA 65.62 ± 3.74 1.78 ± 0.11 0.0199 ± 0.0210
Iranian men 44 20.64 ± 1.60 NA 57.33 ± 5.76 1.81 ± 0.14 0.0195 ± 0.0173
Turkish women 93 21.20 ± 1.51 20.75 ± 2.92 80.55 ± 2.74 1.97 ± 0.11 0.0223 ± 0.0148
Turkish men 91 21.52 ± 1.95 23.64 ± 3.51 77.90 ± 3.36 2.01 ± 0.13 0.0231 ± 0.0153
Sample NAvrg (mean ± SD) Fem/masc (mean ± SD) Fem/masc (ICC) Attr (mean ± SD) Attr (ICC)
Cameroonian women 100 0.0582 ± 0.0131 4.67 ± 0.70 0.94/0.97
a
3.08 ± 0.65 0.91/0.96
a
Cameroonian men 100 0.0571 ± 0.0121 5.52 ± 0.59 0.95/0.96
a
3.38 ± 0.76 0.92/0.96
a
Colombian women 66 0.0523 ± 0.0121 4.77 ± 1.09 0.99 (ICC 1,k) 3.26 ± 0.90 0.99 (ICC 1,k)
Colombian men 72 0.0561 ± 0.0168 4.84 ± 0.75 0.98 (ICC 1,k) 2.22 ± 0.54 0.98 (ICC 1,k)
Czech women 50 0.0542 ± 0.0128 3.86 ± 0.86 0.97 2.68 ± 0.86 0.97
Czech men 50 0.0544 ± 0.0118 4.07 ± 0.80 0.99 2.78 ± 0.87 0.99
Iranian women 43 0.0556 ± 0.0134 3.52 ± 0.55 0.92 2.03 ± 0.44 0.93
Iranian men 44 0.0585 ± 0.0152 4.34 ± 0.58 0.90 1.92 ± 0.46 0.92
Turkish women 93 0.0488 ± 0.0105 3.93 ± 0.81 0.95 (ICC 1,k) 2.89 ± 0.94 0.96 (ICC 1,k)
Turkish men 91 0.0526 ± 0.0113 4.44 ± 0.67 0.94 (ICC 1,k) 2.41 ± 0.76 0.95 (ICC 1,k)
fWHR, Facial width to height ratio; BMI, body mass index; CIELab L, skin lightness; SShD, sexual shape dimorphism (measured facial sexual dimorphism); Avrg, morphometrical averageness; Fem/masc, perceived
femininity(women)/masculinity(men); Attr, perceived attractiveness; SD, standard deviation; ICC, intraclass correlation coefficient (measure of inter-rater agreement), ICC (3,k) if not otherwise stated.
a
Cameroonian samples from 2013 and 2016 were rated separately, ICCs are as follows: 2013 Sample/2016 Sample
6 Vojtěch Fiala et al.
Table 2. Descriptive statistics of the rater sample
Sample Rated attribute
No. of
raters Raterssex Ratersage (mean ± SD) Ratersweight Ratersheight
Cameroon 2013 Women attractiveness 34 Men 22.21 ± 3.14 NA NA
Men attractiveness 28 Women 22.11 ± 3.89 NA NA
Masculinity/femininity
a
77 Men and women 24.00 ± 4.12 66.62 ± 11.23 165.10 ± 7.75
Cameroon 2016 Women attractiveness 49 Men 22.96 ± 3.23 68.84 ± 8.73 169.70 ± 8.35
Men attractiveness 51 Women 23.37 ± 4.25 65.18 ± 11.39 161.10 ± 5.32
Masculinity/Femininity
a
94 Men and women 22.99 ± 3.00 64.82 ± 9.53 164.50 ± 7.76
Colombia Women attractiveness 432 Men 22.01 ± 3.92 NA NA
Men attractiveness 565 Women 21.85 ± 4.81 NA NA
Women femininity 432 Men 22.01 ± 3.92 NA NA
Men masculinity 565 Women 21.85 ± 4.81 NA NA
Czechia Women attractiveness 33 Men 28.18 ± 4.21 NA 182.50 ± 6.35
Men attractiveness 89 Women 27.56 ± 4.23 NA 169.00 ± 5.50
Women femininity 44 Men 33.00 ± 9.68 86.23 ± 12.23 182.40 ± 7.67
Men masculinity 231 Women 32.04 ± 7.59 67.74 ± 15.32 168.30 ± 6.46
Iran Women attractiveness 46 Men 37.30 ± 12.29 85.61 ± 15.13 178.60 ± 7.93
Men attractiveness 41 Women 34.88 ± 9.91 65.73 ± 14.98 165.60 ± 6.07
Women femininity 33 Men 27.73 ± 3.77 78.52 ± 12.93 178.30 ± 5.99
Men masculinity 31 Women 29.35 ± 4.54 59.68 ± 9.20 164.60 ± 6.66
Turkey Women attractiveness 1207
b
862 women; 225
men; 120
unreported
All, 22.09 ± 3.66; women, 21.71 ± 2.80;
men, 23.53 ± 5.69
All, 61.6 ± 12.33; women,
58.02 ± 9.66; men,
75.23 ± 11.90
All, 167.90 ± 7.79;
women, 165.4 ± 7.79;
men, 177.70 ± 6.09
Men attractiveness
Masculinity/Femininity
a
In the Cameroonian and Turkish samples, perceived sex-typicality (masculinity of men, femininity of women) was rated by a combined set of male and female raters.
b
Some Turkish raters did not report their attributes (age, sex, weight and height). For alternative analyses without those raters and split by raterssex, see Table S4 and Figure S5 in the online Supplementary
Material.
Evolutionary Human Sciences 7
chosen opposite-sex subset (N= 20) of the stimuli. The rating scale ranged from 1.0 to 10.0 (with one
decimal place). The endpoints were also anchored verbally, with 1.0 not at all attractive/masculine/
feminine and 10.0 very attractive/masculine/feminine face. All participants identified themselves as
heterosexual.
Czech raters were recruited by fliers in university buildings, asked face to face or by email by two of
the authors (VF, KK) and KKs other co-workers. The link was also shared via social networks through
groups of Charles University students and academic staff. Only raters who identified themselves as
heterosexual and completed the whole questionnaire were entered into the analysis.
Iranian raters (see Section S.2.2.4 in the online Supplementary Material) were recruited via email
with a link to the questionnaires sent by one of the authors (FP), who also translated the original ques-
tionnaires from English into Farsi. Raters who identified themselves as homosexual, did not complete
the entire questionnaire or rated all stimuli identically were excluded from subsequent analyses.
In Turkey, the rating data were collected online by one of the authors (AS). Participants were asked to
rate a subset of the Turkish face database (Bogazici Face Database; see Saribay et al., 2018). Students
from the Bogazici University were deliberately excluded from the pool of potential raters owing to
potential bias stemming from familiarity with the stimuli. Raters saw only a subset of stimuli (N=8
faces per rated attribute) in pseudorandomised order. They rated both the male and female stimuli.
2.3. Facial measures
2.3.1. Skin lightness
In the Cameroonian (2013), Colombian, Iranian and Turkish targets, we measured skin lightness from
facial photographs using ImageJ software (Schneider et al., 2012) with the plugin Color Transformer 2.
In the Cameroon 2016 and Czech sample, facial skin lightness was measured in vivo with a spectro-
photometer (Ocean Optics Flame-S, 200850 nm, optical resolution 2 nm). All measurements were
taken on three patches of the target face (forehead, left and right cheek) and expressed as the L*
dimension of CIELab colour space (Hunter, 1958). According to Coetzee et al. (2012), such difference
in the lightness measurement (in vivo by spectrophotometer vs. using facial photographs) should not
affect the results. Nevertheless, we also ran the analysis with L* measured from photos in ImageJ in
samples where lightness was originally based on in vivo spectrophotometric measurements. Results
for these analyses are available in the Supplementary Material (Table S5 and Figure S6). The results
were not substantially affected by the method of skin lightness measurement.
2.3.2. Relative facial width
We measured bizygomatic facial width and upper facial height from the glabella to the border of the
upper lip from facial photographs of the stimuli persons (Třebický et al., 2015). Then we calculated the
fWHR as facial width divided by facial height (see also Section S2.4.2 in the Supplementary Material
for a detailed description of the measurement).
2.3.3. Facial shape analysis
We manually landmarked each facial photograph with 72 landmarks (36 landmarks and 36 semiland-
marks) in tpsDig2 software, version 2.31 (Rohlf, 2015). We followed the definitions of standard land-
marks positions previously used by Kleisner et al. (2019). Procrustes superimposition of all landmark
configurations was done using the gpagen()function in the R package Geomorph (Adams &
Otárola-Castillo, 2013). Semilandmark positions were optimised based on minimising the Procrustes dis-
tances between corresponding points. For a more detailed description of facial shape analysis, see Section
S.2.4.4 of the Supplementary Material.
We computed facial morphological averageness as each faces distance from the average facial
configuration of its bearers sex and population sample (e.g. averageness of Turkish male targets).
The higher the value, the less average the facial configuration.
8 Vojtěch Fiala et al.
Next, we computed the level of facial sexual shape dimorphism (morphological sexual dimorphism)
by projecting each facial configuration on a vector connecting the male and female average within a
given sample (e.g. Turkish male and female targets the scale uses both sexes within a given popu-
lation sample). Higher negative values of sexual shape dimorphism indicate a more female-like facial
shape, while higher positive values indicate a more male-like facial shape.
Note that all Iranian women in our sample wore the hijab. To compute the averageness of Iranian
women and sexual shape dimorphism of Iranian men and women, we used the configuration of 49
innermost facial landmarks. Computations of morphological facial averageness and sexual shape
dimorphism in the remaining groups were always based on all 72 landmarks.
2.4. Statistical analysis
All analyses were conducted using the R software for statistical computing (version 3.6.0; R Core
Team, 2020). All datasets and R script are available at https://osf.io/va8pg/?view_only=021e113218
55463f82fc64e6ceb5716a.
To assess interrater agreement on perceived attractiveness and sex-typicality, we computed
Intraclass correlations using the ICC()function of the psychpackage (Revelle, 2018). We ran two-
way mixed average score Intraclass correlations (3,k) for the Cameroonian, Czech and Iranian datasets
where raters saw all targets. Raters in Colombia and Turkey saw only a subsample of the relevant tar-
gets, which is why for these two samples, we ran one-way random, average score Intraclass correlations
(1,k) (Shrout & Fleiss, 1979). All intraclass correlations were very high (ICC > 0.9, see Table 1). For
subsequent analyses, we calculated mean perceived attractiveness and perceived sex-typicality ratings
for each photographed person.
Two-tailed Pearsons correlation coefficients (and their 95% confidence intervals) were used to inves-
tigate bivariate associations between all collected variables. The resulting p-values were adjusted for
multiple comparisons using the BenjaminiHochberg correction procedure. Unlike the Bonferroni
correction, which controls for familywise error rate, BenjaminiHochberg correction controls for the
predicted (expected) proportion of errors among rejected null hypotheses, that is, the false discovery
rate (Benjamini & Hochberg, 1995). It is therefore better suited for a non-confirmatory analysis
where there is no dependence between multiple comparisons. The results of performed correlations
and descriptive statistics (mean, SD, and range) for all variables are presented in Tables S2S5 in the
Supplementary Material. The associations were further visualised using heatmaps of Pearson correlation
coefficients (see Figure S4 in Supplementary Material) using the col_fun()function of the circlize pack-
age (Gu et al., 2014) and the Heatmap()function of the ComplexHeatmap package (Gu et al., 2016)in
R software, and subsequently edited in InkScape version 0.92.4. To visualise the strength of associations
between measures of sexual dimorphism (SShD and perceived sex-typicality) and perceived attractive-
ness across the five samples, we created a forest plot (see Figure 1) using the forestplot()function of
the forestplot package (Gordon & Lumley, 2020).
To explore causal relationships between age, skin lightness, fWHR, BMI, averageness, morpho-
logical sexual shape dimorphism, perceived sex-typicality and perceived attractiveness, we ran path
analyses with sem()function from the lavaan package for R (Rosseel, 2012). We conducted a separate
path analysis for each stimulus sex/sample combination (e.g. Iranian female stimuli). Perceived sex-
typicality and attractiveness were set as dependent variables (see Figure 2), while directionality of
mutual interdependence between the two was not decided and we treated it as a correlation; for a
detailed description of the model development, see Section S.2.5 in the Supplementary Material.
Paths designated in this study were based on evidence from literature, formal logic and our decisions
(see also Kane & Ashbaugh, 2017). The aim of the study was to explore the proposed paths, not to
confirm a pattern as an objective causality. Because the number of observations per estimated param-
eter was relatively low, robust p-values were obtained using a permutation test with 10,000 iterations,
where the full models were estimated on randomised datasets.
Evolutionary Human Sciences 9
Figure 1. Forest plots displaying the relative strength of Pearsons correlations between perceived attractiveness and perceived
sex-typicality (a), perceived attractiveness and sexual shape dimorphism (b) and between sexual shape dimorphism and perceived
sex-typicality (c), with confidence intervals of each coefficient. Each row corresponds to a single sample (women from all five sam-
ples, men from all five samples, with sampled countries in alphabetical order). Blue circles represent Pearsons correlation coeffi-
cients (mean estimate on the given sample), while black lines stand for error bars defined as 95% confidence intervals around each
mean correlation. A vertical line in zero (0) enables us to inspect whether the confidence interval for a given correlation contains
zero. The columns on the right side of the diagrams show coefficients of the associations. This figure facilitates a comparison of
bivariate associations among the population samples.
10 Vojtěch Fiala et al.
3. Results
3.1. Correlational analyses
In women, we found a significant positive correlation between perceived attractiveness and perceived
femininity in all five samples: Cameroonian, r(98) = 0.77; 95% CI [0.68, 0.84], p< 0.001; Colombian,
Figure 2. A visualisation of path ana-
lyses (multiple regression models)
between the rated facial attributes
(perceived sex-typicality and attract-
iveness) and facial measures ordered
by the sex of the stimuli. Arrows
represent the direction of the associ-
ation. Non-significant paths are omit-
ted. Association between perceived
sex-typicality and attractiveness was
treated as a correlation (i.e. the direc-
tion was not specified). Numbers
next to the paths indicate the esti-
mate of regression or correlation
coefficient in a corresponding model
with standardised variables. Red
colour denotes a negative coefficient.
The graph shows to what extent is
the observed within-sample variabil-
ity of each variable explained by
other variable(s). In every sample,
perceived femininity and attractive-
ness are closely mutually associated
in the womens samples. In most
population samples, perceived
masculinity was not associated with
perceived mens attractiveness. The
significant paths mostly replicate sig-
nificant Pearsons correlations (see
Figure S4) (+ p< 0.10, *p< 0.05,
** p< 0.01, *** p< 0.001).
Evolutionary Human Sciences 11
r(64) = 0.84 [0.76, 0.90], p< 0.001; Czech, r(48) = 0.87 [0.78, 0.92], p< 0.001; Iranian, r(41) = 0.93
[0.88, 0.96], p< 0.001; and Turkish, r(92) = 0.89 [0.84, 0.93], p< 0.001. Furthermore, in the sample
of Cameroonian women, both perceived attractiveness and perceived femininity were significantly
and positively correlated with skin lightness (r(98) = 0.31 [0.12, 0.47], p= 0.014; and r(98) = 0.36
[0.17, 0.52], p= 0.004, respectively). In the rest of womens samples, the correlation between skin
lightness and perceived femininity or attractiveness was not significant ( p> 0.05, p-value after
BenjaminiHochberg correction; see Figure S4).
In men, perceived masculinity and attractiveness were significantly and positively correlated only in
the Colombian and Czech sample (r(70) = 0.44 [0.23, 0.61], p= 0.004; r(48) = 0.48 [0.23, 0.67], p=
0.013, respectively). In samples of the Cameroonian, Iranian and Turkish male faces, perceived mas-
culinity was significantly negatively associated with facial skin lightness (r(98) = 0.38 [0.54, 0.20],
p= 0.001; r(42) = 0.63 [0.78, 0.40], p< 0.001; r(89) = 0.32 [0.49, 0.12], p= 0.009, respectively),
meaning that darker men were perceived as more masculine.
Morphological averageness was significantly correlated with perceived attractiveness in Iranian men
(r(42) = 0.41 [0.63, 0.13], p= 0.028), with perceived femininity (r(48) = 0.44 [0.64, 0.19], p=
0.011) and attractiveness (r(48) = 0.52 [0.70, 0.28], p= 0.002) in Czech women, and with per-
ceived femininity (r(92) = 0.29 [0.46, 0.09], p= 0.03) and attractiveness (r(92) = 0.34 [0.51,
0.14], p= 0.007) in Turkish women. In these samples, more average faces (i.e. averagenessvalues
closer to zero) were thus perceived as more sex-typical and/or attractive.
Finally, sexual shape dimorphism was significantly correlated with perceived masculinity in the
sample of Cameroonian men (r(98) = 0.33 [0.15, 0.50], p= 0.005), meaning that men with more male-
like facial shape were perceived as more masculine. Sexual shape dimorphism also correlated with per-
ceived femininity in Colombian women (r(64) = 0.33 [0.53, 0.10], p= 0.045), implying that
women with more female-like facial shape were perceived as more feminine, with perceived femininity
(r(41) = 0.45 [0.66, 0.18], p= 0.016) and attractiveness (r(41) = 0.43 [0.65, 0.15], p= 0.022)
in Iranian women, and with perceived masculinity of Turkish men (r(89) = 0.44 [0.26, 0.59], p<
0.001). In the rest of the samples, the association between sexual shape dimorphism and perceived
sex-typicality was not significant after BenjaminiHochberg correction (see Figure S4). Figure 1 pre-
sents forest plots for correlations between perceived sex-typicality, sexual shape dimorphism and per-
ceived attractiveness for each population sample and sex. All correlation coefficients are reported in
detail in Figure S4 and Table S2S5 in the Supplementary Material.
3.2. Path analyses
3.2.1. Womens faces
Significant paths among variables mostly replicated the significant correlations reported above. In all
womens samples, there were significant positive residual correlations between perceived femininity
and attractiveness (r= 0.75; 95% CI [0.56, 0.94] for Cameroonian, 0.82 [0.57, 1.00] for Colombian,
0.80 [0.59, 1.00] for Czech, 0.91 [0.65, 1.00] for Iranian and 0.89 [0.66, 1.00] for Turkish women,
p< 0.001 in all cases).
In Cameroonian women, there was a significant positive association ( partial regression) between
facial skin lightness and both perceived femininity and attractiveness (β= 0.35 [0.18, 0.52], p=
0.001; β= 0.29 [0.11, 0.47], p= 0.004, respectively).
Concerning correlations between facial morphology and perceived traits, we found a significant
association between sexual shape dimorphism and perceived femininity in the Colombian and
Iranian womens sample (β=0.30 [0.53, 0.07], p= 0.019; β=0.50 [0.74, 0.25], p= 0.001,
respectively), while in the Iranian womens sample, sexual shape dimorphism was significantly asso-
ciated with perceived attractiveness (β=0.47 [0.71, 0.22], p= 0.002). More feminine facial morph-
ology had a more negative value of sexual shape dimorphism, which indicates that feminine facial
shape was perceived as more attractive in Iran and as more feminine in the Iranian and Colombian
womens sample. In Colombia, partial regression between sexual shape dimorphism and perceived
12 Vojtěch Fiala et al.
attractiveness was not significant (as noted above, we report the robust p-valuesbased on bootstrap-
ping) but was of a similar magnitude and direction (β=0.25 [0.49, 0.02], p= 0.051). In the Czech
womens sample, morphological facial averageness was significantly associated with both perceived
femininity and attractiveness (more average faces were perceived as more feminine and attractive,
β=0.47 [0.70, 0.25], p= 0.001; β=0.53 [0.74, 0.33], p< 0.001, respectively). The same
held true for the Turkish female sample (β=0.30 [0.49, 0.11], p= 0.002 for the association
between morphological averageness and perceived femininity; β=0.34 [0.53, 0.15], p< 0.001
between morphological averageness and perceived attractiveness).
Perceived facial attractiveness and perceived femininity in womens samples were also related to
other variables: in Colombia, women with a higher BMI were perceived as significantly less feminine
(β=0.28 [0.52, 0.05], p= 0.026) and less attractive (β=0.25 [0.50, 0.01], p= 0.041), while
in the Cameroonian womens sample, age was significantly negatively associated with perceived
femininity (β=0.26 [0.44, 0.08], p= 0.017).
Concerning associations between the predictors themselves, in Cameroonian (β= 0.28 [0.08, 0.47],
p= 0.005), Colombian (β= 0.33 [0.10, 0.56], p= 0.010) and Turkish womens samples (β= 0.23 [0.04,
0.42], p= 0.029), fWHR was significantly positively associated with BMI. In Cameroon (β= 0.27 [0.08,
0.46], p= 0.008) and Turkey (β= 0.39 [0.21, 0.58], p< 0.001), women with a higher fWHR exhibited
lower levels of female-like sexual shape dimorphism, while in Czechia, women with higher fWHR
exhibited higher levels of female-like SShD (β=0.33 [0.59, 0.07], p= 0.025). Age was significantly
associated with BMI (β= 0.24 [0.05, 0.43], p= 0.025) only in the Cameroonian womens sample and
with fWHR in the Iranian (β= 0.46 [0.19, 0.72], p= 0.002) and Turkish womens sample (β=0.27
[0.46, 0.08], p= 0.007).
3.2.2. Mens faces
Perceived masculinity of Colombian and Czech male faces was significantly positively correlated with
their perceived attractiveness (r= 0.46 [0.24, 0.67], p< 0.001 and r= 0.62 [0.36, 0.88], p< 0.001,
respectively). In samples from the other populations, the association between perceived attractiveness
and perceived masculinity was not significant (r=0.07 [0.22, 0.07], p= 0.57; r= 0.16 [0.02, 0.33],
p= 0.53; and r= 0.19 [0.03, 0.36], p= 0.14 for Cameroonian, Iranian and Turkish male faces, respect-
ively). Facial skin lightness was significantly negatively associated with perceived masculinity in the
Cameroonian (β=0.33 [0.49, 0.18], p= 0.001), Colombian (β=0.24 [0.44, 0.03], p=0.041)
and Iranian (β=0.50 [0.70, 0.30], p= 0.001) male samples.
Concerning morphological and perceived facial traits, the following significant associations were
observed: in the Cameroonian (β= 0.36 [0.19, 0.54], p< 0.001), Colombian (β= 0.30 [0.07, 0.53],
p= 0.014) and Turkish sample (β= 0.45 [0.24, 0.66], p< 0.001) more male-like facial shapes (sexual
shape dimorphism) were perceived as more masculine (perceived masculinity). In the Iranian
(β=0.42 [0.68, 0.15], p= 0.007) and Turkish samples (β=0.23 [0.43, 0.04], p= 0.024), facial
configurations closer to the average (morphological averageness) were perceived as more attractive.
Body mass index was significantly positively associated with fWHR in Cameroonian (β= 0.26 [0.07,
0.45], p= 0.009), Colombian (β= 0.23 [0.01, 0.45], p= 0.048), Czech (β= 0.29 [0.01, 0.57], p= 0.041)
and Turkish (β= 0.36 [0.16, 0.55], p< 0.001) men, meaning that relatively heavier men had relatively
wider faces (in the Iranian stimuli, we did not measure weight and height and thus could not compute
this association). In Cameroonian men, fWHR was significantly associated with morphological
averageness (β=0.24 [0.43, 0.04], p= 0.019) and sexual shape dimorphism (β= 0.39 [0.21, 0.58],
p< 0.001). The fWHR was also significantly positively related to sexual shape dimorphism in Iranian
(β= 0.57 [0.33, 0.81], p< 0.001) and Turkish men (β= 0.40 [0.22, 0.59], p< 0.001).
See also Figures S5 and S6 in the Supplementary Material for path analyses with alternative vari-
ables and datasets. Table S6 in the Supplementary Material reports the full lavaanoutput for all fitted
path analyses.
Evolutionary Human Sciences 13
4. Discussion
In this study, we investigated the associations between perceived attractiveness, perceived sex-typicality
and facial sexual shape dimorphism (morphological sexual dimorphism) in samples from five distant
populations, namely Cameroon, Colombia, Czechia, Iran and Turkey. We also explored whether these
associations were affected by other factors (morphological facial averageness, skin lightness, relative
facial width, body mass and age).
As predicted (see Table 3), raters strongly preferred women who were perceived as more feminine
in all samples. On the other hand, raters did not agree on the preferred degree of perceived male sex-
typicality. In fact, only raters from the Czech and Colombian samples preferred men who were
perceived as more masculine. Morphometric variables (facial morphological averageness, sexual
shape dimorphism), relative facial width and measured skin lightness were inconsistent predictors
of perceived scales: they predicted perceived characteristics only in a subset of the samples.
4.1. Association between perceived sex-typicality and perceived attractiveness
The hypothesis according to which preferred visual facial traits should be invariant across samples
from distant populations (Langlois et al., 2000) found support in our results only in part. In all five
female samples, perceived attractiveness and perceived womens femininity were positively associated.
Concerning preference for femininity, our results thus converge with previous evidence to the effect
that perceived female femininity is preferred across populations (Little et al., 2011), except for cases
where the sampled populations are distant, visually distinctive and/or inhabit various environments
(cf. Marcinkowska et al., 2014).
Such high correlation between perceived femininity and attractiveness conforms to the evolutionary
model and its implicit assumptions. It has been proposed, mostly based on indirect evidence, that fem-
ininity in womens faces presents an honest cue to proper hormone-based development (Probst et al.,
2016; Thornhill & Grammer, 1999), fertility and reproductive health (Law Smith et al., 2006)and
should be therefore preferred. Moreover, our results across samples replicate findings of recent studies
which identified a strong association between facial femininity and attractiveness using various research
design (Foo, Simmons et al., 2017; Mogilski & Welling, 2017; Muñoz-Reyes et al., 2015; Smith et al.,
2009). Contrary to this assumption of universal preference of female femininity, other scholars sug-
gested that in harsh environments (De Barra et al., 2013; Penton-Voak et al., 2004) and small rural
populations (Scott et al., 2014), preference for female sex-typicality should be weaker or absent
altogether. In our study, however, the magnitude of femininity preference was relatively stable across
the samples from distant populations. Accordingly, female femininity, eventually pointing to sexual
maturity and reproductive health, may present a womens characteristic that is universally preferred.
For men, we observed a substantial variation across samples in the magnitude of association
between perceived masculinity and attractiveness. The results therefore do not support unequivocal
conclusions that either masculine (Foo, Simmons, et al., 2017; Skrinda et al., 2014) or relatively
more feminine (Perrett et al., 1998; Rhodes et al., 2000) facial traits are universally preferred in
male faces. Perceived masculinity was considered attractive only in two of the samples, the Czech
and the Colombian one. In the Iranian and Turkish sample, the association was also positive but
not statistically significant.
Preference for masculinity might be the result of different adaptive processes in Czech and
Colombian society but it is also possible that the results converge owing to similarities between our
Czech and Colombian sample (not the whole populations). In two studies, Borras-Guevara et al.
(2017a,b) found a negative association between Colombian womens masculinity preference in
manipulated male faces and Colombian womens fear of domestic violence. Importantly, raters in
these studies represented various social strata of the Colombian society. Our targets and raters, on
the other hand, were for the most part university students from Bogota. It is thus likely that they repre-
sented a relatively affluent social group where preference for masculine male partners is not
14 Vojtěch Fiala et al.
Table 3. Outline of predictions (a) and significant results (b)
(a) Predictions
Variable Women Men
Perceived
sex-typicality
Feminine faces perceived more attractive Masculine faces perceived more attractive
Sexual shape
dimorphism
(SShD)
Female-typical SShD perceived as more
feminine and attractive
Male-typical SShD perceived as more
masculine and attractive
Morphological
averageness
More average facial configurations
perceived as more attractive
More average facial configurations perceived
as more attractive
Facial skin
lightness
1
Lighter faces perceived as more attractive
and feminine
Darker faces perceived as more masculine
Relative facial
width (fWHR)
Wider faces perceived as less feminine Wider faces perceived as more masculine
(Geniole et al. 2015)
Relative weight
(BMI)
2
Heavier stimuli perceived as less attractive Heavier stimuli perceived as less attractive
Age
2
Younger stimuli perceived as more
attractive and feminine
Younger stimuli perceived as more attractive
(b) Results based on path analyses, with non-significant trends with p-value [>0.05, <0.1] omitted
Variable Women (Attr|Fem)
3
Men (Attr|Masc)
3
Perceived
sex-typicality
Femininity perceived as
more attractive across
samples
5|NA Masculinity perceived as
more attractive in two
samples
2|NA
Sexual Shape
Dimorphism
Female-typical SShD
perceived as more
attractive in one, more
feminine in two
samples
1|2 Male-typical SShD perceived
as more masculine in
three samples
0|3
Morphological
averageness
More average faces
perceived as more
feminine and attractive
in two samples
2|2 More average faces perceived
as more attractive in two
samples
2|0
Facial skin
lightness
Lighter women perceived
as more attractive and
feminine in one sample
1|1 Darker men perceived as
more masculine in three
samples
0|3
Relative facial
width (fWHR)
No effect 0|0 Non-significant trends 0|0
Relative weight
(BMI)
2
Lower BMI perceived as
more attractive in two
samples, more
feminine in one sample
2|1 Higher BMI perceived as more
masculine in one sample,
less attractive in one
sample
1|1
Age
2
Younger women
perceived as more
feminine in one sample
0|1 Younger men perceived as
more attractive in one,
older men perceived as
more masculine in three
samples
1|3
1
Predictions within a given sample (e.g. darker/lighter within an Iranian male sample).
2
Predictions and results based on age and BMI are not further discussed because they go beyond the scope of the current study. For a more
detailed review and anticipated effects of variables which were not discussed in the Introduction, see Sections S1 and S2.5 in Supplementary
Material.
3
Significant result for Attractiveness|Perceived Sex-typicality; Nout of five female and five male samples, from four samples for each sex
for BMI.
Evolutionary Human Sciences 15
counteracted by fear of domestic violence. The issue of within-populations variance of preferences
could, however, be addressed only in a study that would measure and compare womens relative safety
from male violence, wealth distribution, and the perception of these environmental factors in both the
Czech and Colombian societies.
Womens preferences in Middle Eastern countries in our sample (Iran and Turkey) were predicted
neither by sexual shape dimorphism nor by perceived sex-typicality. Both Iranian and Turkish female
raters preferred morphological averageness of facial shape in the male stimuli.
Future studies should explore this observed absence of preference for sex-typicality in Middle East
countries with regard to locally important cultural factors. In particular, it should be taken into account
that in Middle Eastern countries, the tradition of arranged marriages is still widespread, as is womens
subordinate social role and strong interpersonal bonds (Cindoglu et al., 2011;Friedlandetal.,2016).
Parents and other relatives who negotiate and arrange a marriage may not perceive sex-typicality as highly
important for their choice. Nonetheless, recent evidence shows that people in both countries choose their
partners substantially more freely than in the past (Hart, 2007; Honarvar et al., 2016;Atari&Jamali,
2016a,b), which might imply that the preference for average facial configurations displayed by our
local raters could mirror local adaptations in actual mate choice, unbiased by arranged marriages.
4.2. Association between shape variables and perceived characteristics
Previous studies revealed a weak to moderate association between perceived and morphological sexual
dimorphism (Komori et al., 2011; Mitteroecker et al., 2015). In the current study, neither perceived
femininity nor perceived masculinity and attractiveness were associated with sexual shape dimorphism
(morphological sexual dimorphism) universally across all samples. When restricted only to significant
effects in path analyses, more female-like shape indicated more attractive ratings only in one of the five
womens samples (Iranian). In two populations (Colombian and Iranian), women with more female-
like facial shape were also perceived as more feminine. In men, a more male-like facial configuration
was predictive of higher perceived masculinity in three of the five samples (Cameroonian, Colombian,
and Turkish). All in all, we thus found no universal association between perceived and measured sex-
typicality in either sex, although in some of the samples, the association ran in the predicted direction.
Facial morphological averageness did not predict perceived characteristics consistently either. In
three of the womens samples (Czech, Iranian and Turkish) and one mens sample (Turkish), more
average facial configurations were perceived as more attractive. In the Czech and Turkish women sam-
ple, more average facial configurations were perceived as more feminine. As suggested by current
research, it is possible that facial averageness is a trait that is relatively less important for the perception
of facial characteristics than previously thought (Foo, Simmons, et al., 2017; Holzleitner et al., 2019;
Jones & Jaeger, 2019). It seems, therefore, that morphological variables beyond actual dimorphism
are not good predictors of the perceived facial attractiveness and perceived sex-typicality.
Measured morphometric variables used in this study express facial shape variance as a single num-
ber. Human perception is not, however, a computational device that processes shape in that way. As
suggested by plastic surgery, cosmetics, and related fields, some parameters of facial shape are more
important for perceived attractiveness than others. Such features include relative lip size, lower face
size (Penna et al., 2015) and eyebrow size and shape (Schreiber et al., 2005). Moreover, preferred traits
may be a combination of mature, neotenous and expressive traits (Borelli & Bernerburg, 2010;
Cunningham et al., 1990), not just juvenile/submissive traits (in women) and mature/dominant traits
(in men). Taken together, it is unlikely that the complex phenomenon of human facial trait assessment
could be fully captured by a single morphometric measure.
4.3. Sexual dimorphism in the fWHR
The fWHR was positively associated with sexual shape dimorphism in Cameroonian and Turkish faces
of both sexes and in Czech female and Iranian male faces. Such positive association implies that
16 Vojtěch Fiala et al.
Cameroonian and Turkish men and women with more masculine facial configurations had relatively
wider faces. Past studies identified a slight sexual dimorphism in fWHR (with men having relatively
wider faces; Carré & McCormick, 2008), but a more recent study cast doubt on sexual dimorphism in
fWHR when it ran analyses that controlled for sexual dimorphism in body size (Kramer, 2015).
Özener (2012) found no sexual dimorphism in fWHR in a Turkish university student sample.
Although fWHR is no longer considered a sexually dimorphic measure, our data suggest that
fWHR is associated with more male sex-typical facial shape at least in some of our samples. Except
for the sample of Czech women, fWHR was also significantly positively associated with BMI in all
samples for which BMI was available. In short, it thus turned out that relatively heavier people also
have wider faces regardless of their sex.
4.4. Association between skin lightness and perceived characteristics
We further predicted that skin lightness, which has been associated with perceived sex-typicality and
healthiness in previous research (Carrito & Semin, 2019; Stephen & Perrett, 2016), should be positively
related to perceived attractiveness and sex-typicality (with darker men being perceived as more mascu-
line) in all the five population samples. In the samples of Cameroonian, Colombian and Iranian men,
faces with a darker skin were perceived as more masculine. In the Czech and Turkish mens sample,
facial skin lightness was not associated with perceived masculinity but the statistically non-significant
associations for both Czech (β=0.15) and Turkish (β=0.13) men were in the same direction as
in the rest of the samples. Owing to a low statistical power of our study, we cannot decide whether
this association is ecologically irrelevant in these two countries or whether there indeed exists a stable
association between darker facial skin and perceived sex-typicality across populations.
Regarding women, skin lightness was significantly associated with perceived facial characteristics
only in the Cameroonian female sample. Raters perceived Cameroonian women with a lighter com-
plexion as being both more feminine (perceived femininity) and more attractive. This observation is in
line with previous studies which identified facial skin colouration as a more important cue to the per-
ception of facial attributes in African than in non-African populations (Coetzee et al., 2014; Kleisner
et al., 2017; Strom et al., 2012).
4.5. Limitations of the study
The aim of the current study was to explore the association between perceived and measured facial
traits in samples from five distant countries. To acquire comparable data and results from each inves-
tigated country, we tried to keep the methodology of data collection as similar as possible. Despite
these efforts, we did not manage to maintain all photo acquisition parameters identical throughout
(e.g. camera sensor size or camera-to-subject distance), nor were we able to secure identical lighting
conditions in all samples. Within each sample, however, photo acquisition standards were identical
and maintained.
The questionnaire for Colombian raters differed in the granularity of the rating scale: in Colombia,
the scale ranged from 1.0 to 10.0 with one decimal place, while elsewhere raters responded using
seven-point Likert scales. On the other hand, we analysed all data within-sample rather than aggregat-
ing them across the samples and report standardised coefficients. There is, therefore, no reason to sus-
pect that scale variability affected our results.
Electronic devices used by raters may have caused some differences in ratings owing to, for
instance, differences in the screen size (Třebický et al., 2018). Future studies should either control
for the type of electronic device used or conduct rating sessions under controlled laboratory
conditions.
On an individual level, preference for sexual dimorphism in mens faces may have been influenced
by current fertility status and hormonal regulation (Jones et al., 2019 and citations therein) or raters
relationship status (Little et al., 2002,2007). Unfortunately, we did not collect these data about
Evolutionary Human Sciences 17
participating raters. Concerning other factors on a subpopulation scale, in the Turkish and
Cameroonian samples we explored whether some ratersattributes and some stimuli affected the rat-
ings and significant paths (e.g. the method of skin lightness measurement, combining and separating
subsamples, raterssex; see Table S4 and Figure S5 in the Supplementary Material). Unfortunately, in
the Cameroonian, Czech and Iranian sample, only tens of individual ratings were available: the subsets
they yielded are thus unlikely to form a reliable base for a comparison of stability of perception across
various social and ethnic groups within the sampled populations.
Although we measured and controlled for several variables (age, BMI, fWHR) and checked for
some aspects of ratersidentity, we certainly did not address all possible confounding variables.
Other facial attributes, such as skin colouration with respect to redness and yellowness (Carrito
et al., 2016), contrast between facial features and skin (Stephen & McKeeganh, 2010), or facial hair
(Clarkson et al., 2020) might likewise affect perception of sex-typicality and attractiveness. Future stud-
ies should also account for cross-cultural differences in characteristics that people value in potential
mates, local beliefs and customs, and for the prevailing type of spousal choice.
5. Conclusions
Current studies on the association between facial attractiveness and sexual dimorphism frequently use
a combination of manipulated stimuli and a forced-choice paradigm that dichotomises participants
decision-making. It is therefore appropriate to investigate whether conclusions yielded by these setups
can be replicated using different methods. Our results, which were based on non-manipulated facial
photographs, provide limited support to the hypothesis that raters prefer sex-typical features across
populations from distant countries. While perceived femininity of women was preferred in all popu-
lation samples included in our study and the strength of perceived attractivenessfemininity associ-
ation was relatively stable, thus suggesting a potential universality of the association, mens
perceived facial masculinity was preferred only in the Czech and Colombian sample, that is, in two
distant populations. Our raters from urbanised Iranian and Turkish populations did not prefer facial
masculinity in men and the same applied to raters from the relatively more rural Cameroonian society.
Our study therefore points to a population-specific association of perceived male sex-typicality and
attractiveness based on natural facial stimuli of both sexes.
Further, we showed that morphometric variables (sexual shape dimorphism and facial averageness)
and measured skin lightness were only moderate and inconsistent predictors of perceived sex-
typicality. Presumably owing to this weak predictive power, these variables also did not predict per-
ceived attractiveness across the samples. Measured and perceived sex-typicality tell a different story
with respect to human preference. Ideally, different terms should be applied to measured and per-
ceived traits associated with sex-typicality and averageness and researchers ought to bear in mind
that some traits (e.g. skin lightness) may be population-specific predictors of perceived attributes,
in this case sex-typicality.
Acknowledgements. We wish to thank Oscar R. Sánchez, Eugenio Valderrama and Andrés Castellanos-Chacón for their
help with data collection in Colombia. We also thank TomášKočnar for helping with data collection in Cameroon. We
are grateful to Anna Pilátová for proofreading of the manuscript.
Authorscontributions. KK, VF and PT developed the experimental design of the study. VT, JDL, FP, SAS, RMA and KK
collected the facial stimuli and took the facial measurements. VF, JDL, FP, SAS, RMA and KK collected stimuli ratings. PT
and KK developed the statistical analyses. VF conducted the statistical analyses and drew diagrams. VF, VT and KK wrote the
initial draft, and VF, VT, JDL, PT, FP, SAS, RMA and KK critically revised the manuscript.
Financial support. This study was supported by the Czech Science Foundation (grant number 21-10527S) and by the
Charles University, project GA UK no. 1169120. Data collection in Colombia was supported by Universidad El Bosque,
Vice-rectory of Research (grant number PCI.2016-8835).
Conflicts of interests. The authors declare no conflicts of interest.
18 Vojtěch Fiala et al.
Data availability statement. Original data and other supplementary materials to this article are available online at https://
osf.io/va8pg/?view_only=021e11321855463f82fc64e6ceb5716a.
Ethical statement. The authors assert that all procedures contributing to this work comply with ethical standards of the
relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as
revised in 2008.
References
Adams, D. C., & Otárola-Castillo, E. (2013). Geomorph: An R package for the collection and analysis of geometric morpho-
metric shape data. Methods in Ecology and Evolution,4(4), 393399. https://doi.org/10.1111/2041-210X.12035
Anzures, G., Quinn, P. C., Pascalis, O., Slater, A. M., Tanaka, J. W., & Lee, K. (2013). Developmental origins of the other-race
effect. Current Directions in Psychological Science,22(3), 173178. https://doi.org/10.1177/0963721412474459
Aoki, K. (2002). Sexual selection as a cause of human skin colour variation: Darwins hypothesis revisited. Annals of Human
Biology,29(6), 589608. https://doi.org/10.1080/0301446021000019144
Apicella, C. L., Little, A. C., & Marlowe, F. W. (2007). Facial averageness and attractiveness in an isolated population of
huntergatherers. Perception,36, 18131820. https://doi.org/10.1068/p5601
Atari, M., & Jamali, R. (2016a). Dimensions of womens mate preferences: Validation of a mate preference scale in Iran.
Evolutionary Psychology,14(2), 110. https://doi.org/10.1177/1474704916651443
Atari, M., & Jamali, R. (2016b). Mate preferences in young Iranian women: Cultural and individual difference correlates.
Evolutionary Psychological Science,2(4), 247253. https://doi.org/10.1007/s40806-016-0060-x
Badaruddoza (2007). A paradox of human mate preferences and natural selection. Journal of Human Ecology,21(3), 195197.
https://doi.org/10.1080/09709274.2007.11905972
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple
testing. Journal of the Royal Statistical Society. Series B (Methodological), 57(1), 289300. https://cran.r-project.org/
package=forestplot
Booth, A., Dabbs, J. M., & Dabbs, J. M. Sr (1993). Testosterone and mens marriages. Social Forces,72(2), 463477.
Boothroyd, Lynda G., Jones, B. C., Burt, D. M., & Perrett, D. I. (2007). Partner characteristics associated with masculinity,
health and maturity in male faces. Personality and Individual Differences,43(5), 11611173. https://doi.org/10.1016/j.
paid.2007.03.008
Boothroyd, Linda G., Jones, B. C., DeBruine, L. M., & Perrett, D. I. (2008). Facial correlates of sociosexuality. Evolution and
Human Behavior,29(3), 211218. https://doi.org/http://dx.doi.org/10.1016/j.evolhumbehav.2007.12.009
Borelli, C., & Berneburg, M. (2010). Beauty lies in the eye of the beholder? Aspects of beauty and attractiveness. JDDG
Journal of the German Society of Dermatology,8(5), 326330. https://doi.org/10.1111/j.1610-0387.2009.07318.x
Borras-Guevara, M. L., Batres, C., & Perrett, D. I. (2017a). Aggressor or protector? Experiences and perceptions of violence
predict preferences for masculinity. Evolution and Human Behavior,38(4), 481489. https://doi.org/10.1016/j.evolhumbe-
hav.2017.03.004
Borras-Guevara, M. L., Batres, C., & Perrett, D. I. (2017b). Domestic violence shapes Colombian womens partner choices.
Behavioral Ecology and Sociobiology,71(175), 1314. https://doi.org/https://doi.org/10.1007/s00265-017-2405-2
Bronstad, P. M., & Russell, R. (2007). Beauty is in the weof the beholder: Greater agreement on facial attractiveness among
close relations. Perception,36(11), 16741681. https://doi.org/10.1068/p5793
Brooks, R., Scott, I. M., Maklakov, A. A., Kasumovic, M. M., Clark, A. P., & Penton-Voak, I. S. (2011). National income
inequality predicts womens preferences for masculinized faces better than health does. Proceedings of the Royal Society
B: Biological Sciences,278, 810812. https://doi.org/10.1038/29772
Burke, D., Nolan, C., Hayward, W. G., Russell, R., & Sulikowski, D. (2013). Is there an own-race preference in attractiveness?
Evolutionary Psychology,11(4), 855872.
Buss, D. M. (1989). Sex differences in human mate preferences: Evolutionary hypothesis tested in 37 cultures. Behavioral and
Brain Sciences,12,149. https://doi.org/https://doi.org/10.1017/S0140525X00023992
Carre, J. M., & McCormick, C. M. (2008). In your face: Facial metrics predict aggressive behaviour in the laboratory and in
varsity and professional hockey players. Proceedings of the Royal Society B: Biological Sciences,275(1651), 26512656.
https://doi.org/10.1098/rspb.2008.0873
Carrito, M. de L., Santos, I. M. B. dos, Lefevre, C. E., Whitehead, R. D., Silva, C. F. da, & Perrett, D. I. (2016). The role of
sexually dimorphic skin colour and shape in attractiveness of male faces. Evolution and Human Behavior,37(2), 125133.
https://doi.org/10.1016/j.evolhumbehav.2015.09.006
Carrito, M. L., & Semin, G. R. (2019). When we dont know what we know Sex and skin color. Cognition,191(June),
103972. https://doi.org/10.1016/j.cognition.2019.05.009
Cindoglu, D., Çemrek, M., Toktas, S., & Zencirci, G. (2011). The family in Turkey: The battleground of the modern and the
traditional. In C. B. Hennon & S. M. Wilson (Eds.), Families in a global context ( pp. 235263). New York: Routledge.
https://doi.org/10.4324/9780203836941
Evolutionary Human Sciences 19
Clarkson, T. R., Sidari, M. J., Sains, R., Alexander, M., Harrison, M., Mefodeva, V., Dixson, B. J. W. (2020). A multivariate
analysis of womens mating strategies and sexual selection on mens facial morphology. Royal Society Open Science,7,
191209. https://doi.org/http://dx.doi.org/10.1098/rsos.191209
Coetzee, V., Faerber, S. J., Greeff, J. M., Lefevre, C. E., Re, D. E., & Perrett, D. I. (2012). African perceptions of female attract-
iveness. PLoS ONE,7(10), 38. https://doi.org/10.1371/journal.pone.0048116
Coetzee, V., Greeff, J. M., Stephen, I. D., & Perrett, D. I. (2014). Cross-cultural agreement in facial attractiveness preferences:
The role of ethnicity and gender. PLoS ONE,9(7). https://doi.org/10.1371/journal.pone.0099629
Cunningham, M. R., Barbee, A. P., & Pike, C. L. (1990). What do women want? Facialmetric assessment of multiple motives
in the perception of male facial physical attractiveness. Journal of Personality and Social Psychology,59(1), 6172. https://
doi.org/10.1037/0022-3514.59.1.61
De Barra, M., DeBruine, L. M., Jones, B. C., Mahmud, Z. H., & Curtis, V. A. (2013). Illness in childhood predicts face pre-
ferences in adulthood. Evolution and Human Behavior,34(6), 384389. https://doi.org/10.1016/j.evolhumbehav.2013.07.
001
DeBruine, L. M., Jones, B. C., Crawford, J. R., Welling, L. L. M., & Little, A. C. (2010). The health of a nation predicts their
mate preferences: Cross-cultural variation in womens preferences for masculinized male faces. Proceedings. Biological
Sciences/The Royal Society,277(1692), 24052410. https://doi.org/10.1098/rspb.2009.2184
DeBruine, L. M., Jones, B. C., Little, A. C., Crawford, J. R., & Welling, L. L. M. (2011). Further evidence for regional variation
in womens masculinity preferences. Proceedings of the Royal Society of London B: Biological Sciences,278(1707), 813814.
https://doi.org/10.1098/rspb.2010.2200
DeBruine, L. M., Jones, B. C., Smith, F. G., & Little, A. C. (2010). Are attractive mens faces masculine or feminine? The
importance of controlling confounds in face stimuli. Journal of Experimental Psychology: Human Perception and
Performance,36(3), 751758. https://doi.org/10.1037/a0016457
Deffenbacher, K. A., Vetter, T., Johanson, J., & OToole, A. J. (1998). Facial aging, attractiveness, and distinctiveness.
Perception,27(10), 12331243. https://doi.org/10.1068/p271233
Dixson, Barnaby J., Dixson, A. F., Bishop, P. J., & Parish, A. (2010). Human physique and sexual attractiveness in men and
women: A New ZealandU.S. comparative study. Archives of Sexual Behavior,39(3), 798806. https://doi.org/10.1007/
s10508-008-9441-y
Dixson, Barnaby J., Little, A. C., Dixson, H. G., & Brooks, R. C. (2017). Do prevailing environmental factors influence human
preferences for facial morphology? Behavioral Ecology,28(5), 12171227. https://doi.org/10.1093/beheco/arx067
Durante, K. M., & Li, N. P. (2009). Oestradiol level and opportunistic mating in women. Biology Letters,5(2), 179182.
https://doi.org/10.1098/rsbl.2008.0709
Foo, Y. Z., Nakagawa, S., Rhodes, G., & Simmons, L. W. (2017). The effects of sex hormones on immune function: A
meta-analysis. Biological Reviews,92(1), 551571. https://doi.org/10.1111/brv.12243
Foo, Y. Z., Simmons, L. W., & Rhodes, G. (2017). Predictors of facial attractiveness and health in humans. Scientific Reports,7
(November 2016), 39731. https://doi.org/10.1038/srep39731
Friedland, R., Afary, J., Gardinali, P., & Naslund, C. (2016). Love in the Middle East: The contradictions of romance in the
Facebook World. Critical Research on Religion,4(3), 229258. https://doi.org/10.1177/2050303216676523
Gangestad, S. W., & Scheyd, G. J. (2005). The evolution of human physical attractiveness. Annual Review of Anthropology,34,
523548. https://doi.org/10.1146/
Geniole, S. N., Denson, T. F., Dixson, B. J., Carré, J. M., & McCormick, C. M. (2015). Evidence from meta-analyses of the
facial width-to-height ratio as an evolved cue of threat. PLoS ONE,10(7), 118. https://doi.org/10.1371/journal.pone.
0132726
Germine, L., Russell, R., Bronstad, P. M., Blokland, G. A. M., Smoller, J. W., Kwok, H., Wilmer, J. B. (2015). Individual
aesthetic preferences for faces are shaped mostly by environments, not genes. Current Biology,25(20), 26842689. https://
doi.org/10.1016/j.cub.2015.08.048
Gordon, M., & Lumley, T. (2020). forestplot: Advanced Forest Plot Using gridGraphics.https://rdrr.io/cran/forestplot/
Gu, Z., Eils, R., & Schlesner, M. (2016). Complex heatmaps reveal patterns and correlations in multidimensional genomic
data. Bioinformatics,32(18), 28472849. https://doi.org/10.1093/bioinformatics/btw313
Gu, Z., Gu, L., Eils, R., Schlesner, M., & Brors, B. (2014). Circlize implements and enhances circular visualization in R.
Bioinformatics,30(19), 28112812. https://doi.org/10.1093/bioinformatics/btu393
Hart, K. (2007). Love by arrangement: The ambiguity of spousal choicein a Turkish village. Journal of the Royal
Anthropological Institute,13(2), 345362. https://doi.org/10.1111/j.1467-9655.2007.00438.x
Hausman, B. L. (1999). Ovaries to estrogen: Sex hormones and chemical femininity in the 20th century. Journal of Medical
Humanities,20(3), 165176. https://doi.org/10.1023/A:1022926928578
Henderson, A. J., Holzleitner, I. J., Talamas, S. N., & Perrett, D. I. (2016). Perception of health from facial cues. Philosophical
Transactions of the Royal Society B: Biological Sciences,371(1693). https://doi.org/10.1098/rstb.2015.0380
Holzleitner, I. J., Lee, A. J., Hahn, A. C., Kandrik, M., Bovet, J., Renoult, J. P., Jones, B. C. (2019). Comparing theory-driven
and data-driven attractiveness models using images of real womens faces. Journal of Experimental Psychology. Human
Perception and Performance,45(12), 15891595. https://doi.org/10.1037/xhp0000685
20 Vojtěch Fiala et al.
Honarvar, B., Salehi, F., Barfi, R., Asadi, Z., Honarvar, H., Odoomi, N., Lankarani, K. B. (2016). Attitudes toward and
experience of singles with premarital sex: A population-based study in Shiraz, southern Iran. Archives of Sexual
Behavior,45(2), 395402. https://doi.org/10.1007/s10508-015-0577-2
Hönekopp, J. (2006). Once more: Is beauty in the eye of the beholder? Relative contributions of private and shared taste to
judgments of facial attractiveness. Journal of Experimental Psychology: Human Perception and Performance,32(2), 199
209. https://doi.org/10.1037/0096-1523.32.2.199
Hunter, R. S. (1958). Photoelectric color difference meter. Journal of the Optical Society of America,48(12), 985. https://doi.
org/10.1364/JOSA.48.000985
Johnston, V. S., Hagel, R., Franklin, M., Fink, B., & Grammer, K. (2001). Male facial attractiveness: Evidence for hormone-
mediated adaptive design. Evolution and Human Behavior,22, 251267. https://doi.org/10.1145/3011286.3011307
Jones, B. C., Hahn, A. C., & DeBruine, L. M. (2019). Ovulation, sex hormones, and womens mating psychology. Trends in
Cognitive Sciences,23(1), 5162. https://doi.org/10.1016/j.tics.2018.10.008
Jones, D., & Hill, K. (1993). Criteria of facial attractiveness in five populations. Human Nature,4(3), 271296. https://doi.org/
10.1007/BF02692202
Jones, A. L., & Jaeger, B. (2019). Biological bases of beauty revisited: The effect of symmetry, averageness, and sexual
dimorphism on female facial attractiveness. Symmetry,11(2), 279. https://doi.org/10.3390/sym11020279
Kane, L., & Ashbaugh, A. R. (2017). Simple and parallel mediation: A tutorial exploring anxiety sensitivity, sensation seeking,
and gender. The Quantitative Methods for Psychology,13(3), 148165. https://doi.org/10.20982/tqmp.13.3.p148
Kleisner, K., Kočnar, T., Tureček, P., Stella, D., Akoko, R. M., Třebický, V., & Havlíček, J. (2017). African and European
perception of African female attractiveness. Evolution and Human Behavior,38(6), 744755. https://doi.org/10.1016/j.
evolhumbehav.2017.07.002
Kleisner, K., Pokorný, Š., & Saribay, S. A. (2019). Toward a new approach to cross-cultural distinctiveness and typicality of
human faces: The cross-group typicality/distinctiveness metric. Frontiers in Psychology,10,113. https://doi.org/10.3389/
fpsyg.2019.00124
Koehler, N., Simmons, L. W., Rhodes, G., & Peters, M. (2004). The relationship between sexual dimorphism in human faces
and fluctuating asymmetry. Proceedings of the Royal Society B: Biological Sciences,271(suppl. 4), S233S236. https://doi.
org/10.1098/rsbl.2003.0146
Komori, M., Kawamura, S., & Ishihara, S. (2009). Averageness or symmetry: Which is more important for facial attractive-
ness? Acta Psychologica,131(2), 136142. https://doi.org/10.1016/j.actpsy.2009.03.008
Komori, M., Kawamura, S., & Ishihara, S. (2011). Multiple mechanisms in the perception of face gender: Effect of sex-
irrelevant features. Journal of Experimental Psychology: Human Perception and Performance,37(3), 626633. https://doi.
org/10.1037/a0020369
Kościński, K. (2007). Facial attractiveness: General patterns of facial preferences. Anthropological Review,70(1), 4579. https://
doi.org/10.2478/v10044-008-0001-9
Kościński, K. (2008). Facial attractiveness: Variation, adaptiveness and consequences of facial preferences. Anthropological
Review,71(1), 77105. https://doi.org/10.2478/v10044-008-0012-6
Kowner, R., & Ogawa, T. (1995). The role of raters sex, personality, and appearance in judgments of facial beauty. Perceptual
and Motor Skills,81, 339349. https://doi.org/https://doi.org/10.2466/pms.1995.81.1.339
Kramer, R. S. S. (2015). Facial width-to-height ratio in a large sample of commonwealth games athletes. Evolutionary
Psychology,13(1), 197209. https://doi.org/10.1177/147470491501300112
Kramer, R. S. S., Mileva, M., & Ritchie, K. L. (2018). Inter-rater agreement in trait judgements from faces. PLoS ONE,13(8),
e0202655. https://doi.org/10.1371/journal.pone.0202655
Langlois, J., Kalakanis, L., Rubenstein, A., Larson, A., Hallam, M., & Smoot, M. (2000). Maxims or myths of beauty? A
meta-analytical and theoretical review. Psychological Bulletin,123(3), 390423. https://doi.org/10.1037//0033-2909.126.3.390
Law Smith, M. J., Perrett, D. I., Jones, B. C., Cornwell, R. E., Moore, F. R., Feinberg, D. R., Hillier, S. G. (2006). Facial
appearance is a cue to oestrogen levels in women. Proceedings. Biological Sciences/The Royal Society,273(1583), 135
140. https://doi.org/10.1098/rspb.2005.3296
Lee, A. J., & Zietsch, B. P. (2011). Experimental evidence that womens mate preferences are directly influenced by cues of
pathogen prevalence and resource scarcity. Biology Letters,7(6), 892895. https://doi.org/10.1098/rsbl.2011.0454
Lipson, S. F., & Ellison, P. T. (1996). Comparison of salivary steroid profiles in naturally occurring conception and non-
conception cycles. Human Reproduction,11(10), 20902096. https://doi.org/10.1093/oxfordjournals.humrep.a019055
Little, A. C., Cohen, D. L., Jones, B. C., & Belsky, J. (2007). Human preferences for facial masculinity change with relationship
type and environmental harshness. Behavioral Ecology and Sociobiology,61(6), 967973. https://doi.org/10.1007/s00265-
006-0325-7
Little, A. C, DeBruine, L. M., & Jones, B. C. (2013). Environment contingent preferences: Exposure to visual cues of direct
malemale competition and wealth increase womens preferences for masculinity in male faces. Evolution and Human
Behavior,34(3), 193200. https://doi.org/10.1016/j.evolhumbehav.2012.11.008
Little, A. C., & Hancock, P. J. B. (2002). The role of masculinity and distinctiveness in judgments of human male facial
attractiveness. British Journal of Psychology,93(4), 451464. https://doi.org/10.1348/000712602761381349
Evolutionary Human Sciences 21
Little, A. C., Jones, B. C., & DeBruine, L. M. (2011). Facial attractiveness: Evolutionary based research. Philosophical
Transactions of the Royal Society B: Biological Sciences,366(1571), 16381659. https://doi.org/10.1098/rstb.2010.0404
Little, A. C., Jones, B. C., Penton-Voak, I. S., Burt, D. M., & Perrett, D. I. (2002). Partnership status and the temporal context
of relationships influence human female preferences for sexual dimorphism in male face shape. Proceedings of the Royal
Society B: Biological Sciences,269(1496), 10951100. https://doi.org/10.1098/rspb.2002.1984
Maestripieri, D., Klimczuk, A. C. E., Traficonte, D. M., & Wilson, M. C. (2014). A greater decline in female facial attractive-
ness during middle age reflects womens loss of reproductive value. Frontiers in Psychology,5,16. https://doi.org/10.3389/
fpsyg.2014.00179
Marcinkowska, U. M., Kozlov, M. V., Cai, H., Contreras-Garduño, J., Dixson, B. J., Oana, G. A., Rantala, M. J. (2014).
Cross-cultural variation in mens preference for sexual dimorphism in womens faces. Biology Letters,10(4), 47.
https://doi.org/10.1098/rsbl.2013.0850
Marcinkowska, U. M., Rantala, M. J., Lee, A. J., Kozlov, M. V, Aavik, T., Cai, H., Dixson, B. J. W. (2019). Womenspre-
ferences for mens facial masculinity are strongest under favorable ecological conditions. Scientific Reports,9(3387), 110.
https://doi.org/10.1038/s41598-019-39350-8
Marečková, K., Weinbrand, Z., Chakravarty, M. M., Lawrence, C., Aleong, R., Leonard, G., Paus, T. (2011).
Testosterone-mediated sex differences in the face shape during adolescence: Subjective impressions and objective features.
Hormones and Behavior,60(5), 681690. https://doi.org/10.1016/j.yhbeh.2011.09.004
Mazur, A., & Michalek, J. (1998). Marriage, divorce, and male testosterone. Social Forces,77(1), 315330. https://doi.org/10.
2307/3006019
McLellan, B., & McKelvie, S. J. (1993). Effects of age and gender on perceived facial attractiveness. Canadian Journal of
Behavioural Science/Revue Canadienne Des Sciences Du Comportement,25(1), 135142. https://doi.org/10.1037/h0078790
Mitteroecker, P., Windhager, S., Møller, G. B., & Schaefer, K. (2015). The morphometrics of masculinityin human faces.
PLoS ONE,10(2), e0118374. https://doi.org/10.1371/journal.pone.0118374
Mogilski, J. K., & Welling, L. L. M. (2017). The relative importance of sexual dimorphism, fluctuating asymmetry, and color
cues to health during evaluation of potential partnersfacial photographs: A conjoint analysis study. Human Nature,28(1),
5375. https://doi.org/10.1007/s12110-016-9277-4
Mooradian, A. D., Morley, J. E., & Korenman, S. G. (1987). Biological actions of androgens. Endocrine Reviews,8(1)(1), 128.
https://doi.org/10.1210
Moore, F. R., Cornwell, R. E., Law Smith, M. J., Al Dujaili, E. A. S., Sharp, M., & Perrett, D. I. (2011). Evidence for the
stress-linked immunocompetence handicap hypothesis in human male faces. Proceedings of the Royal Society B:
Biological Sciences,278(1706), 774780. https://doi.org/10.1098/rspb.2010.1678
Muñoz-Reyes, J. A., Iglesias-Julios, M., Pita, M., & Turiegano, E. (2015). Facial features: What women perceive as attractive
and what men consider attractive. PLoS ONE,10(7), 117. https://doi.org/10.1371/journal.pone.0132979
Nakamura, K., & Watanabe, K. (2019). Data-driven mathematical model of East-Asian facial attractiveness: The relative con-
tributions of shape and reflectance to attractiveness judgements. Royal Society Open Science,6(5). https://doi.org/10.1098/
rsos.182189
Nowak, J., Pawłowski, B., Borkowska, B., Augustyniak, D., & Drulis-Kawa, Z. (2018). No evidence for the immunocompe-
tence handicap hypothesis in male humans. Scientific Reports,8(1), 111. https://doi.org/10.1038/s41598-018-25694-0
Özener, B. (2012). Facial width-to-height ratio in a Turkish population is not sexually dimorphic and is unrelated to aggres-
sive behavior. Evolution and Human Behavior,33(3), 169173. https://doi.org/10.1016/j.evolhumbehav.2011.08.001
Penna, V., Fricke, A., Iblher, N., Eisenhardt, S. U., & Stark, G. B. (2015). The attractive lip: A photomorphometric analysis.
Journal of Plastic, Reconstructive and Aesthetic Surgery,68(7), 920929. https://doi.org/10.1016/j.bjps.2015.03.013
Penton-Voak, I. S., & Chen, J. Y. (2004). High salivary testosterone is linked to masculine male facial appearance in humans.
Evolution and Human Behavior,25(4), 229241. https://doi.org/10.1016/j.evolhumbehav.2004.04.003
Penton-Voak, I. S., Jacobson, A., & Trivers, R. (2004). Populational differences in attractiveness judgements of male and
female faces: Comparing British and Jamaican samples. Evolution and Human Behavior,25(6), 355370. https://doi.
org/10.1016/j.evolhumbehav.2004.06.002
Perrett, D. I., Lee, K. J., Penton-Voak, I. S., Rowland, D. A., Yoshikawa, S., Burt, D. M., Akamatsu, S. (1998). Effects of
sexual dimorphism on facial attractiveness. Nature,394(6696), 884887. https://doi.org/10.1038/29772
Perrett, D. I., May, K. A., & Yoshikawa, S. (1994). Facial shape and judgements of female attractiveness. Nature,368(6468),
239242. https://doi.org/10.1038/368239a0
Peters, M., Rhodes, G., & Simmons, L. W. (2008). Does attractiveness in men provide clues to semen quality? Journal of
Evolutionary Biology,21(2), 572579. https://doi.org/10.1111/j.1420-9101.2007.01477.x
Polo, P., Muñoz-Reyes, J. A., Pita, M., Shackelford, T. K., & Fink, B. (2019). Testosterone-dependent facial and body traits
predict mens sociosexual attitudes and behaviors. American Journal of Human Biology,31(3), 110. https://doi.org/10.
1002/ajhb.23235
Probst, F., Bobst, C., & Lobmaier, J. S. (2016). Testosterone-to-estradiol ratio is associated with female facial attractiveness.
Quarterly Journal of Experimental Psychology,69(1), 8999. https://doi.org/10.1080/17470218.2015.1024696
22 Vojtěch Fiala et al.
Rantala, M. J., Moore, F. R., Skrinda, I., Krama, T., Kivleniece, I., Kecko, S., & Krams, I. (2012). Evidence for the stress-linked
immunocompetence handicap hypothesis in humans. Nature Communications,3(394), 15. https://doi.org/10.1038/
ncomms1696
R Core Team (2020). R: A language and environment for statistical computing. R Foundation forStatistical Computing,
Vienna, Austria. https://www.R-project.org/.
Rennels, J. L., Bronstad, P. M., & Langlois, J. H. (2008). Are attractive mens faces masculine or feminine? The importance of
type of facial stimuli. Journal of Experimental Psychology. Human Perception and Performance,34(4), 884893. https://doi.
org/10.1037/0096-1523.34.4.884
Revelle, W. (2018). psych: Procedures for Personality and Psychological Research. Northwestern University. https://cran.r-pro-
ject.org/package=psychVersion=1.8.12.
Rhodes, G. (2006). The evolutionary psychology of facial beauty. Annual Review of Psychology,57(1), 199226. https://doi.
org/10.1146/annurev.psych.57.102904.190208
Rhodes, G., Chan, J., Zebrowitz, L. A., & Simmons, L. W. (2003). Does sexual dimorphism in human faces signal health?
Proceedings. Biological Sciences/The Royal Society,270(suppl.), S93S95. https://doi.org/10.1098/rsbl.2003.0023
Rhodes, G., Hickford, C., & Jeffery, L. (2000). Sex-typicality and attractiveness: Are supermale and superfemale faces super-
attractive? British Journal of Psychology,91(1), 125140. https://doi.org/10.1348/000712600161718
Rhodes, G., Yoshikawa, S., Clark, A., Kieran, L., McKay, R., & Akamatsu, S. (2001). Attractiveness of facial averageness and
symmetry in non-western cultures: In search of biologically based standards of beauty. Perception,30(5), 611625. https://
doi.org/10.1068/p3123
Rohlf, F. J. (2015). The tps series of software. Hystrix,26(1), 14. https://doi.org/10.4404/hystrix-26.1-11264
Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. R package version 0.5-15. Journal of Statistical
Software,48(2), 136. https://econpapers.repec.org/article/jssjstsof/v_3a048_3ai02.htm%0Ahttp://www.jstatsoft.org/v48/
i02/
Ryder, H., Maltby, J., Rai, L., Jones, P., & Flowe, H. D. (2016). Womens fear of crime and preference for formidable mates:
How specific are the underlying psychological mechanisms? Evolution and Human Behavior,37(4), 293302. https://doi.
org/10.1016/j.evolhumbehav.2016.01.005
Saribay, S. A., Biten, A. F., Meral, E. O., Aldan, P., Trebicky, V., & Kleisner, K. (2018). The Bogazici face database:
Standardized photographs of Turkish faces with supporting materials. PLoS ONE,13(2). https://doi.org/10.1371/journal.
pone.0192018
Scheel, A. M., Tiokhin, L., Isager, P. M., & Lakens, D. (2020). Why hypothesis testers should spend less time testing hypoth-
eses. Perspectives on Psychological Science.https://doi.org/10.1177/1745691620966795
Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012). NIH Image to ImageJ: 25 years of image analysis. Nature Methods,
9(7), 671675. https://doi.org/10.1038/nmeth.2089
Schreiber, J. E., Singh, N. K., & Klatsky, S. A. (2005). Beauty lies in the eyebrowof the beholder: A public survey of eyebrow
aesthetics. Aesthetic Surgery Journal,25(4), 348352. https://doi.org/10.1016/j.asj.2005.05.002
Scott, I. M., Clark, A. P., Josephson, S. C., Boyette, A. H., Cuthill, I. C., Fried, R. L., Penton-Voak, I. S. (2014). Human pre-
ferences for sexually dimorphic faces may be evolutionarily novel. Proceedings of the National Academy of Sciences,111(40),
1438814393. https://doi.org/10.1073/pnas.1409643111
Scott, I. M. L., Pound, N., Stephen, I. D., Clark, A. P., & Penton-Voak, I. S. (2010). Does masculinity matter? The contribution
of masculine face shape to male attractiveness in humans. PLoS ONE,5(10), e13585. https://doi.org/10.1371/journal.pone.
0013585
Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: uses in assessing rater reliability. Psychological Bulletin,86(2), 420
428. http://www.ncbi.nlm.nih.gov/pubmed/18839484
Skrinda, I., Krama, T., Kecko, S., Moore, F. R., Kaasik, A., Meija, L., Krams, I. (2014). Body height, immunity, facial and
vocal attractiveness in young men. Naturwissenschaften,101(12), 10171025. https://doi.org/10.1007/s00114-014-1241-8
Smith, F. G., Jones, B. C., Debruine, L. M., & Little, A. C. (2009). Interactions between masculinityfemininity and apparent
health in face preferences. Behavioral Ecology,20(2), 441445. https://doi.org/10.1093/beheco/arn141
Sorokowski, P., Kościński, K., & Sorokowska, A. (2013). Is beauty in the eye of the beholder but ugliness culturally universal?
Facial preferences of Polish and Yali (papua) people. Evolutionary Psychology,11(4), 907925. https://doi.org/10.1177/
147470491301100414
Sorokowski, P., Sorokowska, A., & Kras, D. (2013). Face color and sexual attractiveness: Preferences of Yali people of Papua.
Cross-Cultural Research,47(4), 415427. https://doi.org/10.1177/1069397113485540
Stephen, I. D., & McKeeganh, A. M. (2010). Lip colour affects perceived sex typicality and attractiveness of human faces.
Perception,39(8), 11041110. https://doi.org/10.1068/p6730
Stephen, I. D., & Perrett, D. I. (2016). Color and face perception. In A. J. Elliot, M. D. Fairchild, & A. Franklin (Eds.),
Handbook of Color Psychology (pp. 585602). Cambridge University Press. https://doi.org/10.1017/cbo9781107337930.029
Stephen, I. D., Scott, I. M. L., Coetzee, V., Pound, N., Perrett, D. I., & Penton-Voak, I. S. (2012). Cross-cultural effects of color,
but not morphological masculinity, on perceived attractiveness of mens faces. Evolution and Human Behavior,33(4), 260
267. https://doi.org/10.1016/j.evolhumbehav.2011.10.003
Evolutionary Human Sciences 23
Stirrat, M. R., & Perrett, D. I. (2010). Valid facial cues to cooperation and trust: Male facial width and trustworthiness.
Psychological Science,21(3), 349354. https://doi.org/10.1177/0956797610362647
Strom, M. A., Zebrowitz, L. A., Zhang, S., Bronstad, P. M., & Lee, H. K. (2012). Skin and bones: The contribution of skin tone
and facial structure to racial prototypicality ratings. PLoS ONE,7(7), e41193. https://doi.org/10.1371/journal.pone.0041193
Strzałko, J., & Kaszycka, K. A. (1992). Physical attractiveness: Interpersonal and intrapersonal variability of assessments.
Biodemography and Social Biology,39(12), 170176. https://doi.org/10.1080/19485565.1992.9988813
Swaddle, J. P., & Reierson, G. W. (2002). Testosterone increases perceived dominance but not attractiveness in human males.
Proceedings of the Royal Society B: Biological Sciences,269(1507), 22852289. https://doi.org/10.1098/rspb.2002.2165
Thornhill, R., & Gangestad, S. W. (1999). Facial attractiveness. Trends in Congnitive Sciences,3(12), 452460. https://doi.org/
10.1016/s1364-6613(99)01403-5
Thornhill, R., & Gangestad, S. W. (2006). Facial sexual dimorphism, developmental stability, and susceptibility to disease in
men and women. Evolution and Human Behavior,27(2), 131144. https://doi.org/10.1016/j.evolhumbehav.2005.06.001
Thornhill, R., & Grammer, K. (1999). The body and face of woman: One ornament that signals quality? Evolution and
Human Behavior,20(2), 105120. https://doi.org/10.1016/S1090-5138(98)00044-0
Třebický, V., Fialová, J., Kleisner, K., Roberts, S. C., Little, A. C., & Havlíček, J. (2015). Further evidence for links between
facial width-to-height ratio and fighting success: Commentary on Zilioli et al. (2014). Aggressive Behavior,41(4), 331334.
https://doi.org/10.1002/ab.21559
Třebický, V., Fialová, J., Stella, D., Štěrbová, Z., Kleisner, K., & Havlíček, J. (2018). 360 degrees of facial perception:
Congruence in perception of frontal portrait, profile, and rotation photographs. Frontiers in Psychology,9(2405), 111.
https://doi.org/10.3389/fpsyg.2018.02405
Třebický, V., Stirrat, M., & Havlíček, J. (2019). Fighting assessment. Encyclopedia of Evolutionary Psychological Science,111.
https://doi.org/10.1007/978-3-319-16999-6_2738-1
van Bokhoven, I., van Goozen, S. H. M., van Engeland, H., Schaal, B., Arseneault, L., Séguin, J. R., Tremblay, R. E. (2006).
Salivary testosterone and aggression, delinquency, and social dominance in a population-based longitudinal study of ado-
lescent males. Hormones and Behavior,50(1), 118125. https://doi.org/10.1016/j.yhbeh.2006.02.002
van den Berghe, P. L., & Frost, P. (1986). Skin color preference, sexual dimorphism and sexual selection: A case of gene cul-
ture co-evolution? Ethnic and Racial Studies,9(1), 87113. https://doi.org/10.1080/01419870.1986.9993516
Vitzthum, V. J. (2009). The ecology and evolutionary endocrinology of reproduction in the human female. American Journal
of Physical Anthropology,140(S49), 95136. http://dx.doi.org/10.1002/ajpa.v140.49s
Vitzthum, V. J., Bentley, G. R., Spielvogel, H., Caceres, E., Thornburg, J., Jones, L., Chatterton, R. T. (2002). Salivary pro-
gesterone levels and rate of ovulation are significantly lower in poorer than in better-off urban-dwelling Bolivian women.
Human Reproduction,17(7), 19061913. http://dx.doi.org/10.1093/humrep/17.7.1906
Wagatsuma, H. (1967). The social perception of skin color in Japan. Daedalus,96(2), 407443. https://www.jstor.org/stable/
20027045
Whitehouse, A. J. O., Gilani, S. Z., Shafait, F., Mian, A., Tan, D. W., Maybery, M. T., Eastwood, P. (2015). Prenatal tes-
tosterone exposure is related to sexually dimorphic facial morphology in adulthood. Proceedings of the Royal Society B:
Biological Sciences,282(1816). https://doi.org/10.1098/rspb.2015.1351
Worthman, C. M. (1995). Hormones sex gender. Annual Review of Anthropology,24, 593617.
Zebrowitz, L. A., Wang, R., Bronstad, P. M., Eisenberg, D. T. A., Undurraga, E. A., Reyes-García, V., & Godoy, R. A. (2012).
First impressions from faces among U.S. and culturally isolated Tsimanepeople in the Bolivian rainforest. Journal of
Cross-Cultural Psychology,43(1), 119134. https://doi.org/10.1177/0022022111411386
Cite this article: Fiala V, Třebický V, Pazhoohi F, Leongómez JD, Tureček P, Saribay SA, Akoko RM, Kleisner K (2021).
Facial attractiveness and preference of sexual dimorphism: A comparison across five populations. Evolutionary Human
Sciences 3, e38, 124. https://doi.org/10.1017/ehs.2021.33
24 Vojtěch Fiala et al.
... Facial attractiveness is an important criterion in human mate choice and has been discussed as an indicator of reproductive success regarding direct benefits, whereby the perceiver directly gains for themselves or for their offspring, and indirect benefits, whereby the perceiver gains genetic benefits for their offspring . Several features determining facial attractiveness have been studied across cultures, including facial symmetry (Scheib et al., 1999;Penton-Voak et al., 2001;Jones et al., 2004;Wells et al., 2009;Saxton et al., 2011;Zheng et al., 2021), averageness (Langlois and Roggman, 1990;Roberts et al., 2005;Vingilis-Jaremko and Maurer, 2013;Lee et al., 2016), and sexual dimorphism (Alley and Cunningham, 1991;Langlois et al., 2000;Rhodes, 2006;Mogilski and Welling, 2017;Hu et al., 2018;Fiala et al., 2021). Regarding the latter, evolutionary explanations hypothesize that traits which emphasize femininity or masculinity of a face are cues to underlying aspects of mate quality such as fertility, fecundity, or general health and therefore contribute to attractiveness judgements (Gangestad and Scheyd, 2005). ...
Article
Full-text available
Vocal and facial cues typically co-occur in natural settings, and multisensory processing of voice and face relies on their synchronous presentation. Psychological research has examined various facial and vocal cues to attractiveness as well as to judgements of sexual dimorphism, health, and age. However, few studies have investigated the interaction of vocal and facial cues in attractiveness judgments under naturalistic conditions using dynamic, ecologically valid stimuli. Here, we used short videos or audio tracks of females speaking full sentences and used a manipulation of voice pitch to investigate cross-modal interactions of voice pitch on facial attractiveness and related ratings. Male participants had to rate attractiveness, femininity, age, and health of synchronized audio-video recordings or voices only, with either original or modified voice pitch. We expected audio stimuli with increased voice pitch to be rated as more attractive, more feminine, healthier, and younger. If auditory judgements cross-modally influence judgements of facial attributes, we additionally expected the voice pitch manipulation to affect ratings of audiovisual stimulus material. We tested 106 male participants in a within-subject design in two sessions. Analyses revealed that voice recordings with increased voice pitch were perceived to be more feminine and younger, but not more attractive or healthier. When coupled with video recordings, increased pitch lowered perceived age of faces, but did not significantly influence perceived attractiveness, femininity, or health. Our results suggest that our manipulation of voice pitch has a measurable impact on judgements of femininity and age, but does not measurably influence vocal and facial attractiveness in naturalistic conditions.
... While in Cameroon, we collected only facial photographs and did not measure skin colouration with spectrophotometer in vivo, in the Czech samples, we did measure skin colouration by spectrophotometer in vivo. Nevertheless, there is some evidence to the effect that analyses based on in vivo measurements and skin colouration measured from facial photos yield similar results 57 ; see also 88 . ...
Article
Full-text available
Biosocial impact of facial dominance and sex-typicality is well-evidenced in various human groups. It remains unclear, though, whether perceived sex-typicality and dominance can be consistently predicted from sexually dimorphic facial features across populations. Using a combination of multidimensional Bayesian approach and geometric morphometrics, we explored associations between perceived dominance, perceived sex-typicality, measured sexual shape dimorphism, and skin colour in a European and an African population. Unlike previous studies, we investigated the effect of facial variation due to shape separately from variation due to visual cues not related to shape in natural nonmanipulated stimuli. In men, perceived masculinity was associated with perceived dominance in both populations. In European women higher perceived femininity was, surprisingly, likewise positively associated with perceived dominance. Both shape and non-shape components participate in the constitution of facial sex-typicality and dominance. Skin colour predicted perceived sex-typicality in Africans but not in Europeans. Members of each population probably use different cues to assess sex-typicality and dominance. Using our methods, we found no universal sexually dimorphic scale predicting human perception of sex-typicality and dominance. Unidimensional understanding of sex-typicality thus seems problematic and should be applied with cautions when studying perceived sex-typicality and its correlates.
... Besides, in Cameroonian females, the skin lightness was positively correlated with perceived femininity. Skin lightness in the Cameroonian, Iranian, and Turkish male faces was negatively correlated with masculinity [141]. Hence, in non-European populations, the facial shape dimorphism may be in certain association with skin color. ...
Article
Full-text available
Background In this paper, we investigate facial sexual dimorphism and its’ association with body dimorphism in Maasai, the traditional seminomadic population of Tanzania. We discuss findings on other human populations and possible factors affecting the developmental processes in Maasai. Methods Full-face anthropological photographs were obtained from 305 Maasai (185 men, 120 women) aged 17–90 years. Facial shape was assessed combining geometric morphometrics and classical facial indices. Body parameters were measured directly using precise anthropological instruments. Results Sexual dimorphism in Maasai faces was low, sex explained 1.8% of the total shape variance. However, male faces were relatively narrower and vertically prolonged, with slightly wider noses, narrower-set and lower eyebrows, wider mouths, and higher forehead hairline. The most sexually dimorphic regions of the face were the lower jaw and the nose. Facial width-to-height ratio (fWHR), measured in six known variants, revealed no significant sexual dimorphism. The allometric effects on facial traits were mostly related to the face growth, rather than the growth of the whole body (body height). Significant body dimorphism was demonstrated, men being significantly higher, with larger wrist diameter and hand grip strength, and women having higher BMI, hips circumferences, upper arm circumferences, triceps skinfolds. Facial and body sexual dimorphisms were not associated. Conclusions Facial sex differences in Maasai are very low, while on the contrary, the body sexual dimorphism is high. There were practically no associations between facial and body measures. These findings are interpreted in the light of trade-offs between environmental, cultural, and sexual selection pressures.
... Moreover, the relation between men's facial masculinity and their mating value is far from clear and straightforward [37,39,[48][49][50]. It is thus possible that MU is unrelated to sexual selection but still reflects some local, perhaps environmental, adaptations. ...
Article
Full-text available
Facial symmetry, averageness, and the level of sex-typical development of dimorphic traits are traditionally associated with various biological quality indicators and should be, therefore, preferred in mate choice. The aim of this study is to propose a concept of morphological uniqueness and uncover its possible associations to putative phenotypic cues of biological quality. In contrast to typicality expressed by averageness, morphological uniqueness quantifies the degree of possessing characteristics unique to particular groups. I employed a combination of geometric morphometric and Bayesian multiple regression to analyze 300 Cameroonian faces, while an additional 1153 faces from eight distinct populations from across four continents were used as a reference sample of the global population to calculate the morphological uniqueness of Cameroonians. I found that morphological uniqueness is positively associated with a feminine facial shape in women and negatively with morphological masculinity in men. Facial symmetry was positively associated with female faces with greater levels of uniqueness; the result for male faces was inconclusive. The faces of both sexes perceived as more attractive had lower levels of morphological uniqueness. Facial distinctiveness showed no relationship to morphological uniqueness in either sex, which indicates that morphological uniqueness and distinctiveness are two complementary approaches to studying facial typicality. In the conclusion, the evolutionary significance of the proposed concept and its potential applicability is discussed.
Article
Full-text available
For almost half a century, Paul Meehl educated psychologists about how the mindless use of null-hypothesis significance tests made research on theories in the social sciences basically uninterpretable. In response to the replication crisis, reforms in psychology have focused on formalizing procedures for testing hypotheses. These reforms were necessary and influential. However, as an unexpected consequence, psychological scientists have begun to realize that they may not be ready to test hypotheses. Forcing researchers to prematurely test hypotheses before they have established a sound “derivation chain” between test and theory is counterproductive. Instead, various nonconfirmatory research activities should be used to obtain the inputs necessary to make hypothesis tests informative. Before testing hypotheses, researchers should spend more time forming concepts, developing valid measures, establishing the causal relationships between concepts and the functional form of those relationships, and identifying boundary conditions and auxiliary assumptions. Providing these inputs should be recognized and incentivized as a crucial goal in itself. In this article, we discuss how shifting the focus to nonconfirmatory research can tie together many loose ends of psychology’s reform movement and help us to develop strong, testable theories, as Paul Meehl urged.
Article
Full-text available
For almost half a century, Paul Meehl educated psychologists about how the mindless use of null-hypothesis significance tests made research on theories in the social sciences basically uninterpretable (Meehl, 1990). In response to the replication crisis, reforms in psychology have focused on formalising procedures for testing hypotheses. These reforms were necessary and impactful. However, as an unexpected consequence, psychologists have begun to realise that they may not be ready to test hypotheses. Forcing researchers to prematurely test hypotheses before they have established a sound ‘derivation chain’ between test and theory is counterproductive. Instead, various non-confirmatory research activities should be used to obtain the inputs necessary to make hypothesis tests informative. Before testing hypotheses, researchers should spend more time forming concepts, developing valid measures, establishing the causal relationships between concepts and their functional form, and identifying boundary conditions and auxiliary assumptions. Providing these inputs should be recognised and incentivised as a crucial goal in and of itself. In this article, we discuss how shifting the focus to non-confirmatory research can tie together many loose ends of psychology’s reform movement and help us lay the foundation to develop strong, testable theories, as Paul Meehl urged us to.
Article
Full-text available
The strength and direction of sexual selection via female choice on masculine facial traits in men is a paradox in human mate choice research. While masculinity may communicate benefits to women and offspring directly (i.e. resources) or indirectly (i.e. health), masculine men may be costly as long-term partners owing to lower paternal investment. Mating strategy theory suggests women's preferences for masculine traits are strongest when the costs associated with masculinity are reduced. This study takes a multivariate approach to testing whether women's mate preferences are context-dependent. Women (n = 919) rated attractiveness when considering long-term and short-term relationships for male faces varying in beardedness (clean-shaven and full beards) and facial masculinity (30% and 60% feminized, unmanipulated, 30% and 60% masculinized). Participants then completed scales measuring pathogen, sexual and moral disgust, disgust towards ectoparasites, reproductive ambition, self-perceived mate value and the facial hair in partners and fathers. In contrast to past research, we found no associations between pathogen disgust, self-perceived mate value or reproductive ambition and facial masculinity preferences. However, we found a significant positive association between moral disgust and preferences for masculine faces and bearded faces. Preferences for beards were lower among women with higher ectoparasite disgust, providing evidence for ectoparasite avoidance hypothesis. However, women reporting higher pathogen disgust gave higher attractiveness ratings for bearded faces than women reporting lower pathogen disgust, providing support for parasite-stress theories of sexual selection and mate choice. Preferences for beards were also highest among single and married women with the strongest reproductive ambition. Overall, our results reflect mixed associations between individual differences in mating strategies and women's mate preferences for masculine facial traits.
Article
Full-text available
Facial attractiveness plays a critical role in social interaction, influencing many different social outcomes. However, the factors that influence facial attractiveness judgments remain relatively poorly understood. Here, we used a sample of 594 young adult female face images to compare the performance of existing theory-driven models of facial attractiveness and a data-driven (i.e., theory-neutral) model. Our data-driven model and a theory-driven model including various traits commonly studied in facial attractiveness research (asymmetry, averageness, sexual dimorphism, body mass index, and representational sparseness) performed similarly well. By contrast, univariate theory-driven models performed relatively poorly. These results (a) highlight the utility of data driven models of facial attractiveness and (b) suggest that theory-driven research on facial attractiveness would benefit from greater adoption of multivariate approaches, rather than the univariate approaches that they currently almost exclusively employ. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Article
Full-text available
Facial attractiveness is judged through a combination of multiple cues including morphology (facial shape) and skin properties (facial reflectance). While several studies have examined the way in which people in Western cultures judge facial attractiveness, there have been fewer investigations into non-Western attitudes. This is because stimuli that quantitatively vary the attractiveness of non-Western faces are rare. In the present study, we built a model of the attractiveness of East-Asian faces, judged by East-Asian observers. Therefore, 400 computer-generated East-Asian faces were created and attractiveness rating scores were collected from Japanese observers. Data-driven mathematical calculations were used to identify quantitative links between facial attractiveness and shape and reflectance properties, with no prior hypothesis. Results indicate that faces with larger eyes, smaller noses and brighter skin are judged as more attractive, regardless of the sex of the faces, possibly reflecting a general preference for femininity. Shape is shown to be a strong determinant of attractiveness for both male and female faces, while reflectance properties are less important in judging male facial attractiveness. Our model provides a tool to effectively produce East-Asian face stimuli that quantitatively varies attractiveness and can be used to elucidate visual processes related to attractiveness judgements.
Article
Full-text available
Objectives Strategic Pluralism Theory contends that human mating strategies are calibrated toward short‐term (ST) or long‐term (LT) mating according to the expression of condition‐dependent traits and characteristics of the social and physical environment. Traits reflecting the effects of testosterone have been considered condition‐dependent traits that provide information about the calibration of male mating strategy. We investigated the relationship of muscle mass and facial masculinity with attitudes and behaviors reflecting ST and LT mating tactics. Methods We measured skeletal muscle mass (SMM) through bioelectrical impedance and facial width‐to‐height ratio (fWHR) in a sample of Chilean men (n = 206; mean age = 22.52 ± 4.65 SD), and collected information about sociosexual attitudes and past sexual behavior. Results Our results showed an interaction effect of SMM and fWHR on unrestricted (but not restricted) sociosexual attitudes and past sexual behavior. Individuals with a consistent expression of both traits (ie, high SMM and fWHR or low SMM and fWHR) reported higher levels of unrestricted sociosexual attitudes and a greater number of lifetime and previous‐year sexual partners. Conclusions These findings suggest that the intensity and consistency of expression of body and facial masculinity is important in signaling male mating tactics and sociosexual attitudes.
Article
Full-text available
The strength of sexual selection on secondary sexual traits varies depending on prevailing economic and ecological conditions. In humans, cross-cultural evidence suggests women’s preferences for men’s testosterone dependent masculine facial traits are stronger under conditions where health is compromised, male mortality rates are higher and economic development is higher. Here we use a sample of 4483 exclusively heterosexual women from 34 countries and employ mixed effects modelling to test how social, ecological and economic variables predict women’s facial masculinity preferences. We report women’s preferences for more masculine looking men are stronger in countries with higher sociosexuality and where national health indices and human development indices are higher, while no associations were found between preferences and indices of intra-sexual competition. Our results show that women’s preferences for masculine faces are stronger under conditions where offspring survival is higher and economic conditions are more favorable.
Article
Full-text available
The factors influencing human female facial attractiveness—symmetry, averageness, and sexual dimorphism—have been extensively studied. However, recent studies, using improved methodologies, have called into question their evolutionary utility and links with life history. The current studies use a range of approaches to quantify how important these factors actually are in perceiving attractiveness, through the use of novel statistical analyses and by addressing methodological weaknesses in the literature. Study One examines how manipulations of symmetry, averageness, femininity, and masculinity affect attractiveness using a two-alternative forced choice task, finding that increased masculinity and also femininity decrease attractiveness, compared to unmanipulated faces. Symmetry and averageness yielded a small and large effect, respectively. Study Two utilises a naturalistic ratings paradigm, finding similar effects of averageness and masculinity as Study One but no effects of symmetry and femininity on attractiveness. Study Three applies geometric face measurements of the factors and a random forest machine learning algorithm to predict perceived attractiveness, finding that shape averageness, dimorphism, and skin texture symmetry are useful features capable of relatively accurate predictions, while shape symmetry is uninformative. However, the factors do not explain as much variance in attractiveness as the literature suggests. The implications for future research on attractiveness are discussed.
Article
Full-text available
In the present research, we took advantage of geometric morphometrics to propose a data-driven method for estimating the individual degree of facial typicality/distinctiveness for cross-cultural (and other cross-group) comparisons. Looking like a stranger in one’s home culture may be somewhat stressful. The same facial appearance, however, might become advantageous within an outgroup population. To address this fit between facial appearance and cultural setting, we propose a simple measure of distinctiveness/typicality based on position of an individual along the axis connecting the facial averages of two populations under comparison. The more distant a face is from its ingroup population mean toward the outgroup mean the more distinct it is (vis-à-vis the ingroup) and the more it resembles the outgroup standards. We compared this new measure with an alternative measure based on distance from outgroup mean. The new measure showed stronger association with rated facial distinctiveness than distance from outgroup mean. Subsequently, we manipulated facial stimuli to reflect different levels of ingroup-outgroup distinctiveness and tested them in one of the target cultures. Perceivers were able to successfully distinguish outgroup from ingroup faces in a two-alternative forced-choice task. There was also some evidence that this task was harder when the two faces were closer along the axis connecting the facial averages from the two cultures. Future directions and potential applications of our proposed approach are discussed.