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How relationship status and sociosexual orientation influence the link between facial attractiveness and visual attention

  • Aleksandra Mitrovic ,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Software, Visualization, Writing – original draft

    aleksandra.mitrovic@univie.ac.at

    Affiliation Department of Basic Psychological Research and Research Methods, University of Vienna, Vienna, Austria

  • Juergen Goller,

    Roles Conceptualization, Formal analysis, Methodology, Writing – review & editing

    Affiliation Department of Basic Psychological Research and Research Methods, University of Vienna, Vienna, Austria

  • Pablo P. L. Tinio,

    Roles Conceptualization, Funding acquisition, Writing – review & editing

    Affiliation College of Education and Human Services, Montclair State University, Montclair, New Jersey, United States of America

  • Helmut Leder

    Roles Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing

    Affiliation Department of Basic Psychological Research and Research Methods, University of Vienna, Vienna, Austria

Abstract

Facial attractiveness captures and binds visual attention, thus affecting visual exploration of our environment. It is often argued that this effect on attention has evolutionary functions related to mating. Although plausible, such perspectives have been challenged by recent behavioral and eye-tracking studies, which have shown that the effect on attention is moderated by various sex- and goal-related variables such as sexual orientation. In the present study, we examined how relationship status and sociosexual orientation moderate the link between attractiveness and visual attention. We hypothesized that attractiveness leads to longer looks and that being single as well as being more sociosexually unrestricted, enhances the effect of attractiveness. Using an eye-tracking free-viewing paradigm, we tested 150 heterosexual men and women looking at images of urban real-world scenes depicting two people differing in facial attractiveness. Participants additionally provided attractiveness ratings of all stimuli. We analyzed the correlations between how long faces were looked at and participants’ ratings of attractiveness and found that more attractive faces—especially of the other sex—were looked at longer. We also found that more sociosexually unrestricted participants who were single had the highest attractiveness-attention correlation. Our results show that evolutionary predictions cannot fully explain the attractiveness-attention correlation; perceiver characteristics and motives moderate this relationship.

Introduction

Attractiveness captures and binds visual attention and has a strong influence on the way we visually explore our environment [15]. This effect is especially strong in faces, which have outstandingly high biological and social relevance [69]. The finding that attractive faces are looked at longer than less attractive faces was shown in a number of eye-tracking experiments in the laboratory [1015] and in experiments in real world settings, in which participants interacted with an attractive confederate [1618]. While this effect has been shown to be moderated by sexual orientation [12, 19] and threat [11], the extent to which other socially relevant and personality variables moderate the effect is less clear. In this study, we examined how relationship status and sociosexual orientation and their interaction moderate the link between facial attractiveness and visual attention.

How can the effects of facial attractiveness on visual attention be explained? The most dominant explanation of the link between attractiveness and visual attention is related to mate selection [20, 21]. From this perspective, our attention is biased towards attractive people in order to facilitate sexual reproduction with those who are likely to contribute good genes to offspring. Therefore, one of the functions of the aesthetic sense is to detect indicators of good genes, with attractiveness being a primary indicator [2226]. There is some evidence for this perspective. For example, facial attractiveness is negatively correlated with fluctuating asymmetry [27], which is an indicator of developmental instability. Preference for people with low fluctuating asymmetry is beneficial as such people presumably have good genes. In this way, facial attractiveness indicates developmental stability, and in turn, high likelihood of reproductive success. The issue with such explanation is that it only applies to other-sex faces.

One study testing such a preference for other-sex faces was conducted by Maner and colleagues [14]. They presented participants two sets (one for each sex) of eight isolated, same-sex faces of which four were selected to be attractive and four to be average-looking and recorded the extent to which participants selectively attended to attractive faces. They had three hypotheses. The “opposite-sexed beauty captures the mind” hypothesis, which states that “both men and women would selectively focus on (and, in turn, remember) highly attractive members of the opposite sex” [14] (p. 1108). Their “female beauty captures the mind” hypothesis states that “both men and women might exhibit processing advantages for attractive female targets—men because of mate-search motives, and women because of mate guarding or self-assessment motives" [14] (p. 1109). Their “one-sided gender bias” hypothesis states that “males, more than females, will selectively focus on (and, in turn, remember) attractive members of the opposite sex” [14] (p. 1109). They found that visual attention was highest for female faces, which is support for the “female beauty captures the mind” hypothesis and in their eye-tracking study found additional support for the “opposite-sexed beauty captures the mind” hypothesis.

In our study, we expected to replicate these findings. However, these effects only partly explain how visual attention works in everyday life, and evolutionary perspectives cannot easily account for visual attention towards faces. If indeed mating for reproduction underlies visual attention to faces, then only highly attractive, other-sex people would receive attention. However, this is not the case as less attractive people also receive, and oftentimes, bind the perceivers’ attention. Thus, it is very unlikely that reproduction is the only influencing force behind the link between attractiveness and visual attention.

Many person-level characteristics have been shown to moderate the attractiveness-attention correlation. For example, attentional biases towards attractive male faces diminish when the perceiver is put in a threatening state of mind [11]—an effect that can be explained by our evolutionary past. Although it was generally important to identify highly attractive partners, in a threatening life or death situation—as when being chased by a predator—the drive to survive overrides the mating-driven function of visual attention. A further—probably stronger—evidence against the evolutionary perspective is research that has taken into account the sexual orientation of perceivers. Eye-tracking studies that have compared the visual attention of homosexual and heterosexual perceivers showed that perceivers looked longer at people of their preferred sex [12, 28]. This finding directly challenges the strict evolutionary notion that people are primarily motivated by a drive to reproduce and consequently should visually prefer attractive faces of the other sex.

Another motivation-related factor that likely moderates the attractiveness-attention correlation is relationship status. If the primary function of facial attractiveness is to facilitate the spread of genes, it should make no difference whether a perceiver of highly attractive faces already has a partner to reproduce with. Evolutionary notions would predict that people would still look for more and better opportunities to reproduce. Otherwise, if the attention binding effects of attractiveness are driven by a need to find a partner, and not necessarily the spread of genes, other attractive faces should be of less importance for people who already are committed to a partner. In committed people, the goal to find a partner (with whom to reproduce) should essentially be fulfilled. After all, the “need” for a partner has been satisfied and the relationship goal has been met [10]. The evolutionary perspective could be critically tested if people who are in a romantic relationship and people who are single show the same attractiveness-attention correlation. Thus, we hypothesized shorter looking durations for attractive other-sex faces by people in a romantic relationship.

The finding that attractive other-sex faces are looked at more briefly by people who are in a romantic relationship would be in accordance with the relationship maintenance phenomenon [2931] according to which people perceive attractive other-sex faces as potentially threatening alternatives to their current relationship partner. Then, being exposed to attractive, other-sex faces could lead to a decrease in: (a) satisfaction with one’s relationship, (b) relationship commitment, and (c) the perceived attractiveness of the current partner [3235]. Consequently, people who are already in a relationship might devalue the attractiveness of alternatives in order to not endanger their satisfaction with their current partners [30, 36, 3744]. Following this argument, we expected that the effects of attractiveness on attention would be generally weaker for people who are in a romantic relationship and would clearly be stronger for people who are single.

Another person-level characteristic that is relevant to mating is sociosexual orientation. Sociosexual orientation is a personality construct that indicates the degree of emotional commitment needed before a person engages in sexual relationships [45, 46]. More sociosexually unrestricted people need less emotional commitment to engage in sexual relationships. Men often show higher scores on questionnaires regarding sociosexual orientation, which means that they are, on average, more sociosexually unrestricted than women [4751]. In contrast to less sociosexually unrestricted people who tend to have long-term relationships, more sociosexually unrestricted people are prone to having many short-term relationships [52]. Attractiveness is more important for men [5356] and for short-term relationships [5760], both correlating with a more unrestricted sociosexual orientation. Therefore, regarding mate selection, one might assume that for more sociosexually unrestricted people who tend to have more short-term relationships and who are more likely male, attractiveness in a partner is more important than for less sociosexually unrestricted people [61]. Indeed, more sociosexually unrestricted people, especially men, allocate more of their attention to attractive other-sex faces [14, 40, 62, 63]. Thus, we hypothesized that the attractiveness-attention correlation would be stronger for more sociosexually unrestricted than less sociosexually unrestricted people.

To our knowledge, the only eye-tracking study that has included sex, relationship status, and sociosexual orientation was conducted by Maner and colleagues [14]. They found evidence for the “opposite-sexed beauty captures the mind” hypothesis and the “female beauty captures the mind” hypothesis. They also found that more sociosexually unrestricted people looked longer at faces of the other sex and that relationship status only had an influence on women. However, in their study, sex of the perceiver, sex of the face, relationship status, and sociosexual orientation were not analyzed in one statistical model. Therefore, the interactions of these factors are unknown. In the present study, we analyzed the individual effects of these factors as well as their interactions in a full-factorial design. We were especially interested in the interaction of relationship status and sociosexual orientation. If they interact, the attractiveness-attention correlation would be the strongest for single and more sociosexually unrestricted participants. Otherwise, we expected that the attractiveness-attention correlation would be stronger for single and for more sociosexually unrestricted people.

To sum up our hypotheses, we expected participants to generally look longer at more attractive than less attractive faces [10, 11, 1214]. In line with the “opposite-sexed beauty captures the mind” hypothesis [14], we expected an interaction between sex of the face stimulus and sex of the perceiver. Consistent with the literature [14, 53, 55, 56, 64, 65], we expected this effect to be most pronounced for men looking at female faces (“one-sided gender bias”). We expected higher correlations between attractiveness and attention for single participants and those who are more sociosexually unrestricted [10, 14, 40, 62]. If there is an interaction between sociosexual orientation and relationship status, then we would expect that more sociosexually unrestricted, single participants would spend more time looking at attractive faces. According to the strict evolutionary line of argument, these moderating effects should apply to other-sex faces and should be stronger for men than for women.

In the present study, we examined how the effects of facial attractiveness on visual attention are moderated by the sex of the face stimulus and the perceiver’s sex, relationship status, and sociosexual orientation. Each participant rated each face stimulus for attractiveness on a Likert scale. We combined these explicit ratings with measures of eye movements, which reflect more automatic and implicit behavioral responses to facial attractiveness. We employed a free-viewing paradigm in which the participant viewed the faces without having to perform a task. This paradigm provides an unobtrusive way to examine visual attention towards faces [10, 14, 28].

We used images of urban real-world street scenes showing two people instead of presenting individual faces or arrays of faces [14]. Beyond pairs of same-sex faces (female-female and male-male), we also included mixed-sex scenes (male-female). Because we tested heterosexual participants, the different sets had different implications for our hypotheses. The scenes with different sex faces than the perceiver’s sex corresponded to the hypothesis of mate selection. However, mixed-sex scenes are more suitable for directly testing the idea of devaluing potential competitors of the same sex. Moreover, most empirical studies on facial attractiveness compared highly attractive faces with less/non-attractive faces based on pre-ratings [1, 3]. This pre-categorization of faces into attractive versus non-attractive faces does not allow the testing of individual variation in taste among participants [66, 67] and does not reflect natural variation in attractiveness. Therefore, we used the individual attractiveness ratings for our analyses to predict individual eye movements. To minimize possible transfer effects between ratings of male and female faces [68], we employed a block-by-block presentation according to scene type (male-male, female-female, male-female).

Taken together, we studied the moderating effects of relationship status and sociosexual orientation on the attractiveness-attention correlation and expected that the relationship would be stronger for single as compared to people in a relationship and for more sociosexually unrestricted as compared to less sociosexually unrestricted people. Moreover, we expected that the relationship would be strongest for single people who are more sociosexually unrestricted.

Method

Participants

One hundred ninety one undergraduate students participated for course credit. We excluded 22 participants because they indicated a non-heterosexual sexual orientation (10 bisexual women, 4 bisexual men, 2 homosexual women, 5 homosexual men, 1 other) and 19 participants because of problems during data collection. The final sample consisted of 150 participants (77 women, 73 men, Mage = 22.45 years, SDage = 3.06, age range: 18–36 years). In a post-questionnaire, 81 participants (54%: 45 women, 36 men) indicated that they were in a relationship at the time of the study and 69 (46%: 32 women, 37 men) indicated that they were single. The average score for sociosexual orientation was M = 5.11 for men (SD = 1.47, Mdn = 5.22, range: 1.89–8.67) and M = 4.03 for women (SD = 1.38, Mdn = 3.67, range: 1.67–7.56), which was measured on a 9-point Likert scale, with higher ratings indicating more unrestricted sociosexual orientation. These values are in line with previous findings [46]. All participants had normal or corrected-to-normal visual acuity and normal color vision. All participants provided written informed consent before they participated in the study, and the study was approved by the Ethics Committee of the University of Vienna.

Materials

We used 45 images of urban, real-world street scenes showing two college-aged women (15 scenes), men (15 scenes), or one woman and one man (15 scenes) standing next to each other. We instructed models to switch positions (left-right); therefore, two photos were taken of each of the pairs. Each model was randomly allocated to one scene resulting in a range of combinations regarding facial attractiveness. The models looked directly into the camera and were instructed to show a neutral facial expression (see Fig 1 for a sample image; the depicted individuals gave written informed consent to publish their pictures as outlined in the PLOS consent form). For each face, we defined a circular area of interest covering the whole face (the area used for analyzing the eye movement data). Because the size of the heads varied from face to face between scenes, the diameter of the areas of interest ranged from 180 pixels (4° visual angle) to 250 pixels (6°). However, the sizes were the same for both faces within each scene. To further conceal the aim of the study, we presented 50 distractor images. The distractor images showed similar backgrounds as the actual test scenes, but depicted only one person or two objects replacing the two people (e.g., two posters hanging next to each other on a wall). All images were shown in full color and scaled to 1200 pixels (28°) × 800 pixels (19°).

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Fig 1. Stimulus example.

Reenacted example of a target scene (not used in the actual study). We obtained written informed consent for publication from the individuals included in the figure.

https://doi.org/10.1371/journal.pone.0207477.g001

Eye movement data were collected using an EyeLink 1000 desktop-mounted eye tracker (SR Research Ltd., Mississauga, Ontario, Canada), sampling at 1000 Hz. Viewing was binocular but only the dominant eye was tracked. The scenes were shown on a 24-inch LCD-monitor (Samsung SyncMaster 2443BW, 16:9, 1920 × 1200, 60 Hz) and viewed from a distance of 65 cm. To facilitate accurate measurements and minimize movements, we used a chin rest to stabilize participants’ head positions. We used a 9-point calibration and validation of the eye tracker. The study was implemented using Experiment Builder software (Version 1.10.1630, SR Research Ltd., Mississauga, Ontario, Canada). Data analyses were based on the fixation report provided by the DataViewer software (Version 2.3.22, SR Research Ltd., Mississauga, Ontario, Canada).

Procedure and design

The study consisted of three blocks: an eye-tracking block and two subsequent behavioral rating blocks. In the eye-tracking block, all 95 images (45 scenes + 50 distractor images) were presented in random order for 10 seconds each. Between the images, a fixation cross was presented at the center of the screen and on which participants were required to fixate to trigger the presentation of the next image. This fixation check was used to assess the quality of the eye-tracking signal. If there was a drift in the signal, recalibration and validation were performed. Participants were instructed to freely view the scenes without having a specific task.

In the second block, the 45 scenes were presented again, but this time blocked in terms of female, male, and mixed-sex scenes. Participants rated each face for attractiveness on a 7-point Likert scale ranging from 1 (not attractive) to 7 (very attractive). For each scene, both faces were rated, with the order regarding which of the two faces was rated first randomly changing from trial to trial. In the third block, all scenes were presented again and participants rated each face for whether they knew the face before the study. We deleted all trials in which participants indicated knowing at least one face in order to eliminate any confounding effects of familiarity on visual attention [69] or on attractiveness [70].

Participants then filled out a questionnaire about their age, sex, sexual orientation, relationship status, and relationship satisfaction. We also administered the revised Sociosexual Orientation Inventory (SOI-R) [46] that consists of nine items answered on a 9-point Likert scale. We used the mean value of these items as a score indicating participants’ sociosexual orientation. A lower score indicated that the participant was less sociosexually unrestricted, whereas a higher score indicated that the participant was more sociosexually unrestricted. We administered the questionnaires at the end of the study to avoid making participants’ relationship status salient, as this could have influenced participants’ behavior. Finally, participants were debriefed about the aim of the study and thanked for their participation.

Results

All data are freely available under http://phaidra.univie.ac.at/o:756919. As an indicator of facial attractiveness, we analyzed the individual ratings given in the second block. As an indicator of visual attention, we calculated the total fixation duration (TFD) defined as the summed dwell time for each face (area of interest) in milliseconds (MTFD = 2893.54 ms, SDTFD = 1247.66 ms). We did not analyze saccades or blinks and excluded all fixations that were shorter than 100 ms and all trials in which participants indicated knowing at least one of the two faces in the scene. We were interested in how the link between attractiveness and visual attention is moderated by other key variables. To operationalize this relationship, we calculated Pearson correlation coefficients between attractiveness and TFD for each participant separately for female and male face stimuli. Table 1 shows the correlation coefficients separately for same-sex and mixed-sex scenes.

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Table 1. Mean correlation coefficients between TFD and attractiveness.

https://doi.org/10.1371/journal.pone.0207477.t001

To test how relationship status and sociosexual orientation moderate the attractiveness-attention correlation, we ran two linear mixed models (LMM) with the correlation coefficients as dependent variable, separately for same-sex (see deposited data “o:756900”) and mixed-sex (see deposited data “o:756904”) scenes using the lme4 package (version 1.1–8) [71] in R (version 3.1.0, R Development Core Team; Satterthwaite approximations for p-values). We defined contrasts for the fixed effects of the sex of the participant (women–men), sex of face stimulus (female–male), and relationship status (single–committed). Sociosexual orientation was included as a centered, continuous fixed effect. Interactions among all factors were included. Random by-participant intercepts and slopes for sex of face and attractiveness were included. The results of the LMMs are shown in Table 2. We ran two additional LMMs (one per scene type) with TFD as the dependent variable. We explain these LMMs and their results in the supplementary materials section (S1 Appendix).

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Table 2. Results for the LMM with correlation coefficients as dependent variable separately for same-sex and mixed-sex scenes.

https://doi.org/10.1371/journal.pone.0207477.t002

Same-sex scenes

Table 1 shows the correlation coefficients between the total fixation duration (TFD) and the attractiveness ratings for both sexes in both types of scenes as well as the scenes merged, for all combinations of sex, relationship status, and sociosexual orientation of the participants. Positive correlation coefficients indicate a positive link between attractiveness and visual attention such that an increase in attractiveness ratings is associated with longer fixation durations. It can be seen in Table 1 that all correlation coefficients for same-sex scenes were positive across all groups, indicating a general positive correlation between attractiveness and TFD.

We found an main effect of sex of face (b = 0.14, SE = 0.03, t(122) = 4.83, p < .001) with the correlation being generally stronger for female (r = .23) than for male faces (r = .08). We found a Participant Sex × Sex of Face interaction (b = -0.20, SE = 0.06, t(122) = -3.51, p < .001). This interaction indicates that the correlation was strongest for men looking at female faces (r = .32), whereas weaker correlations were found for women looking at female faces (r = .14) and women looking at male faces (r = .11). The weakest correlation was found for men looking at male faces (r = .05). Finally, we found a Relationship Status × Sociosexual Orientation interaction (b = 0.05, SE = 0.02, t(124) = 2.15, p = .034). The interaction shows a dissociation regarding the role of sociosexual orientation between participants in a relationship and single participants. For participants in a relationship, an increase towards a more unrestricted sociosexual orientation was related to a decrease in the correlation; in other words, the more unrestricted their sociosexual orientation, the smaller the effect of attractiveness on TFD. For single participants on the other hand, an increase towards a more unrestricted sociosexual orientation was related to an increase in the correlation. For these participants, the more unrestricted their sociosexual orientation was, the higher was the effect of attractiveness on TFD (see Fig 2).

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Fig 2. Relationship status × sociosexual orientation interaction (same-sex scenes).

Relationship Status × Sociosexual Orientation interaction on the correlation between attractiveness and TFD in same-sex scenes.

https://doi.org/10.1371/journal.pone.0207477.g002

Mixed-sex scenes

For mixed-sex scenes, all correlation coefficients were positive (see Table 1). Reflecting the same pattern as in same-sex scenes, we found a Participant Sex × Sex of Face interaction (b = -0.17, SE = 0.07, t(140) = -2.24, p = .027). The strongest correlation was found for men looking at female faces (r = .23). Weaker correlations were found for women looking at female faces (r = .15) and women looking at male faces (r = .17). The weakest correlation was again found for men looking at male faces (r = .09).

Discussion

We showed how relationship status and sociosexual orientation moderate the link between facial attractiveness and visual attention. The eye-tracking results replicated the previously found positive correlation between attractiveness and total fixation duration (TFD) [1014, 1618]. Across all conditions, we found main effects of attractiveness, which replicates findings showing that attractive faces are looked at longer [10, 12]. This is in accordance with the idea that looking at attractive faces is rewarding and elicits positive emotions [7276]. Put simply, we tend to look at attractive faces because we enjoy looking at them.

Most interesting regarding our research question is the interaction between relationship status and sociosexual orientation (same-sex scenes; see Fig 2). For single participants, we found that an increase towards a more unrestricted sociosexual orientation is associated with an increase in TFD in combination with an increase in attractiveness. This confirms our hypothesis that attractiveness is more important to people who are more sociosexually unrestricted [61]. Moreover, the positive correlation between attractiveness and TFD was lower for participants in a relationship and who were more sociosexually unrestricted compared to those who were less unrestricted. According to the idea of relationship maintenance, we hypothesized that irrespective of sociosexual orientation, participants in a relationship would show a low and stable positive correlation. However, the opposite was the case in that the correlation decreased with an increase in sociosexual unrestrictedness. A possible explanation of why the mean correlations were not the same for more and less sociosexually unrestricted participants in a relationship is that being in a relationship has different implications for both groups. Being highly sociosexually unrestricted implies that a person is interested in engaging in a number of short-term relationships. However, being in a relationship at the same time could lead to strong self-restrictions to avoid potential temptations and endangering the relationship.

For single participants who were also more sociosexually unrestricted, the increase in TFD was clearly steeper than the decrease in TFD for participants in a relationship. Therefore, it seems that for single participants, sociosexual orientation is more influential than for participants in a relationship. Fig 2 further shows that the most sociosexually unrestricted single participants showed higher correlations than any other group. This result is in line with the finding that attractiveness is especially important for short-term relationships [5759]. Furthermore, for single participants, favoring attractiveness is comparatively more important and beneficial as they are more likely looking for a partner. Fig 2 and Table 1 show that the least sociosexually unrestricted single participants showed the smallest correlations. We expected that single participants, in general, would have at least moderate correlations and that the correlations would become stronger with an increase in unrestricted sociosexual orientation. A possible explanation of why less sociosexually unrestricted single participants do not show this pattern is that some of them were not looking for a partner at the time they participated in the study. Thus, attractiveness did not increase their attention to the same extent as for those who were looking for partners. Consequently, the attractiveness-attention correlations were smaller. In addition, only a few of the face stimuli were of high attractiveness. Therefore, it is likely that only a few faces increased attention to a great extent.

Inspection of Table 1 shows no clear evidence for relationship maintenance processes. Comparing the correlations of single participants with those in a relationship—when considering both types of scenes—shows that the mean correlations were higher for men in a relationship than single men, whereas single women showed a slightly higher correlation than women in a relationship (see Table 1). We expected these results for women [14], although we would have expected bigger differences between the groups. The results for men can be interpreted in terms of the evolutionary notion that a person will continue looking for better alternatives even if she/he is already in a relationship. There is evidence that single participants as well as those in a relationship—to whom their relationship status is not made salient—look at attractive faces of the other sex [38, 39, 41, 42, 77]. Other factors such as the length of time that someone is in a relationship, how secure one feels about the relationship, attractiveness of the partner, and relationship satisfaction are just some factors that could explain these mixed results. Our result that an increase in sociosexual unrestrictedness for people in a relationship led to a decrease in the correlation suggests that sociosexual orientation could moderate relationship maintenance behavior. This and the effects of the other mentioned factors would need to be examined in future research.

Regarding the sex of the faces and the sex of the participants, we found that the main effect of attractiveness on TFD was moderated by the sex of the face stimulus (same-sex scenes). In same-sex scenes, the perceiver can directly compare the attractiveness of the two same-sex faces. Accordingly, same-sex scenes are more informative in terms of mate selection. Moreover, this correlation was also generally stronger for female faces than for male faces. We also found an interaction between the sex of the perceiver and the sex of the face stimulus (for same-sex and mixed-sex scenes). The correlation was strongest for men looking at female faces. These findings are in line with studies that have shown that men place greater emphasis on physical attractiveness of the other sex than women do [5356, 64, 65]. However, we did not find support for the “opposite-sexed beauty captures the mind” hypothesis as our data tend to support the “one-sided gender bias” hypothesis [14] and the well-established finding that women distribute their attention quite evenly between the two sexes, whereas (heterosexual) men clearly prefer looking at female faces [78, 79]. Actually, both men and women looked longer at female faces. In addition, attractive female faces were looked at longer, no matter whether a woman is presented next to another woman or next to a man. This is support for the “female beauty captures the mind” hypothesis [14].

Previous studies have suggested that making the relationship status salient to the participants changes their behavior. Consequently, it would be interesting to see whether the results involving eye movements—which we consider as a fairly objective measure—would differ if participants’ relationship status were brought to their attention. Research regarding relationship maintenance has already shown that early cognitive processes are influenced by relationship status. Thus, making relationship status salient could lead to even bigger differences between single participants and those who are in a relationship. Additionally, future studies could make participants’ relationship status salient by having them perform a specific task, such as having them choose a potential partner in a forced-choice paradigm. Including such a task could more strongly differentiate the attractiveness-attention correlation between single participants and those in a relationship.

Other variables that we did not include in this study, but which could be of interest for future studies are participants’ desire to have children, how secure they feel about their relationship, how stable they perceive their relationship to be, how satisfied they are with their relationship, how committed they are to their relationship, how strong/weak their attachments to their partners are, and whether they are motivated to seek out and meet people of the other sex. A further limitation of the study is that we assessed relationship status as a dichotomous variable: single or being in a romantic relationship. It could have been more informative to include options such as exclusively dating, single but dating, single but not dating, living together, dating steadily, and dating occasionally [29].

To summarize, the present study has shown that the attractiveness-attention correlation is stronger for other-sex faces than for same-sex faces. In same-sex scenes, we found clear support for the hypothesis that female beauty increases visual attention. However, the attractiveness-attention correlation is moderated by relationship status and sociosexual orientation. This shows that perceiver characteristics, goals, and motives moderate the adaptive function of attractive faces on attention. Thus, evolutionary notions alone cannot explain the link between attractiveness and attention.

Supporting information

S1 Appendix. Results–larger LMMs.

Reasoning for and results of additional LMMs using total fixation duration as dependent variable and including attractiveness as an independent factor.

https://doi.org/10.1371/journal.pone.0207477.s001

(DOCX)

Acknowledgments

We thank Marcel Cimander, Dalibor Mitrovic, and Melanie Prager for their helpful and insightful comments on earlier versions of this manuscript.

References

  1. 1. Chen W, Liu CH, Nakabayashi K. Beauty hinders attention switch in change detection: The role of facial attractiveness and distinctiveness. PloS one. 2012;7(2):e32897. pmid:22393457; PubMed Central PMCID: PMC3290675.
  2. 2. DeWall CN, Maner JK. High status men (but not women) capture the eye of the beholder. Evol Psychol. 2008;6(2):328–41.
  3. 3. Sui J, Liu CH. Can beauty be ignored? Effects of facial attractiveness on covert attention. Psychon Bull Rev. 2009;16(2):276–81. pmid:19293094; PubMed Central PMCID: PMC3343302.
  4. 4. Mitschke V, Goller J, Leder H. Exploring everyday encounters with street art using a multimethod design. Psychol Aesthet Creat Arts. 2017;11(3):276–83.
  5. 5. Bindemann M, Burton AM, Hooge ITC, Jenkins R, de Haan EHF. Faces retain attention. Psychon Bull Rev. 2005;12(6):1048–53. pmid:16615327
  6. 6. Kanwisher N, McDermott J, Chun MM. The fusiform face area: A module in human extrastriate cortex specialized for face perception. J Neurosci. 1997;17(11):4302–11. pmid:9151747
  7. 7. Schmidt KL, Cohn JF. Human facial expressions as adaptations: Evolutionary questions in facial expression research. Yearb Phys Anthropol. 2001;44:3–24. PubMed PMID: 11786989; PubMed Central PMCID: PMCPMC2238342.
  8. 8. Vuilleumier P. Faces call for attention: Evidence from patients with visual extinction. Neuropsychologia. 2000;38(5):693–700. pmid:10689045
  9. 9. Goren CC, Sarty M, Wu PY. Visual following and pattern discrimination of face-like stimuli by newborn infants. Pediatrics. 1975;56(4):544–9. pmid:1165958
  10. 10. Leder H, Mitrovic A, Goller J. How beauty determines gaze! Facial attractiveness and gaze duration in images of real world scenes. Iperception. 2016;7(4):1–12. pmid:27698984.
  11. 11. Leder H, Tinio PPL, Fuchs IM, Bohrn I. When attractiveness demands longer looks: The effects of situation and gender. Q J Exp Psychol (Hove). 2010;63(9):1858–71. pmid:20373226.
  12. 12. Mitrovic A, Tinio PPL, Leder H. Consequences of beauty: Effects of rater sex and sexual orientation on the visual exploration and evaluation of attractiveness in real world scenes. Front Hum Neurosci. 2016;10:122. pmid:27047365; PubMed Central PMCID: PMC4800167.
  13. 13. Valuch C, Pfluger LS, Wallner B, Laeng B, Ansorge U. Using eye tracking to test for individual differences in attention to attractive faces. Front Psychol. 2015;6:42. pmid:25698993; PubMed Central PMCID: PMC4313586.
  14. 14. Maner JK, Kenrick DT, Becker DV, Delton AW, Hofer B, Wilbur CJ, et al. Sexually selective cognition: Beauty captures the mind of the beholder. J Pers Soc Psychol. 2003;85(6):1107–20. pmid:14674817.
  15. 15. Shimojo S, Simion C, Shimojo E, Scheier C. Gaze bias both reflects and influences preference. Nat Neurosci. 2003;6(12):1317–22. pmid:14608360.
  16. 16. Fugita SS, Agle TA, Newman I, Walfish N. Attractiveness, self-concept, and a methodological note about gaze behavior. Pers Soc Psychol Bull. 1977;3(2):240–3.
  17. 17. Kleck RE, Rubenstein C. Physical attractiveness, perceived attitude similarity, and interpersonal attraction in an opposite-sex encounter. J Pers Soc Psychol. 1975;31(1):107–14.
  18. 18. van Straaten I, Holland RW, Finkenauer C, Hollenstein T, Engels RCME. Gazing behavior during mixed-sex interactions: Sex and attractiveness effects. Arch Sex Behav. 2010;39(5):1055–62. pmid:19263209
  19. 19. Kranz F, Ishai A. Face perception is modulated by sexual preference. Curr Biol. 2006;16(1):63–8. pmid:16401423.
  20. 20. Darwin C. The descent of man, and selection in relation to sex. London: John Murray; 1871.
  21. 21. Grammer K, Fink B, Moller AP, Thornhill R. Darwinian aesthetics: Sexual selection and the biology of beauty. Biol Rev Camb Philos Soc. 2003;78(3):385–407. pmid:14558590
  22. 22. Senior C. Beauty in the brain of the beholder. Neuron. 2003;38(4):525–8. pmid:12765605
  23. 23. Dissanayake E. What art is and what art does: An overview of contemporary evolutionary hypotheses. In: Martindale C, Locher P, Petrov V, editors. Evolutionary and neurocognitive approaches to aesthetics, creativity, and the arts. Amityville, NY: Baywood; 2007. p. 1–14.
  24. 24. Thornhill R, Gangestad SW. Human facial beauty. Hum Nat. 1993;4(3):237–369. pmid:24214366
  25. 25. Thornhill R, Gangestad SW. The evolution of human sexuality. Trends Ecol Evol. 1996;11(2):98–102. pmid:21237770
  26. 26. Thornhill R, Grammer K. The body and face of woman: One ornament that signals quality? Evol Hum Behav. 1999;20(2):105–20.
  27. 27. Gangestad SW, Thornhill R, Yeo RA. Facial attractiveness, developmental stability, and fluctuating asymmetry. Ethol Sociobiol. 1994;15(2):73–85.
  28. 28. Vasquez-Amezquita M, Leongomez JD, Seto MC, Bonilla M, Rodriguez-Padilla A, Salvador A. Visual attention patterns differ in gynephilic and androphilic men and women depending on age and gender of targets. J Sex Res. 2017:1–17. pmid:29028456.
  29. 29. Johnson DJ, Rusbult CE. Resisting temptation: Devaluation of alternative partners as a means of maintaining commitment in close relationships. J Pers Soc Psychol. 1989;57(6):967–80.
  30. 30. Simpson JA, Gangestad SW, Lerma M. Perception of physical attractiveness: Mechanisms involved in the maintenance of romantic relationships. J Pers Soc Psychol. 1990;59(6):1192–201.
  31. 31. Dainton M, Stafford L. Routine maintenance behaviors: A comparison of relationship type, partner similarity and sex differences. J Soc Pers Relat. 1993;10(2):255–71.
  32. 32. Kanazawa S, Still MC. Teaching may be hazardous to your marriage. Evol Hum Behav. 2000;21(3):185–90. pmid:10828556
  33. 33. Weaver JB, Masland JL, Zillmann D. Effect of erotica on young men's aesthetic perception of their female sexual partners. Percept Mot Skills. 1984;58(3):929–30.
  34. 34. Kenrick DT, Gutierres SE, Goldberg LL. Influence of popular erotica on judgments of strangers and mates. J Exp Soc Psychol. 1989;25(2):159–67.
  35. 35. Kenrick DT, Neuberg SL, Zierk KL, Krones JM. Evolution and social cognition: Contrast effects as a function of sex, dominance, and physical attractiveness. Pers Soc Psychol Bull. 1994;20(2):210–7.
  36. 36. Karremans JC, Verwijmeren T. Mimicking attractive opposite-sex others: The role of romantic relationship status. Pers Soc Psychol Bull. 2008;34(7):939–50. pmid:18453390.
  37. 37. Karremans JC, Dotsch R, Corneille O. Romantic relationship status biases memory of faces of attractive opposite-sex others: Evidence from a reverse-correlation paradigm. Cognition. 2011;121(3):422–6. pmid:21903209.
  38. 38. Koranyi N, Rothermund K. When the grass on the other side of the fence doesn't matter: Reciprocal romantic interest neutralizes attentional bias towards attractive alternatives. J Exp Soc Psychol. 2012;48(1):186–91.
  39. 39. Maner JK, Gailliot MT, Miller SL. The implicit cognition of relationship maintenance: Inattention to attractive alternatives. J Exp Soc Psychol. 2009;45(1):174–9.
  40. 40. Maner JK, Gailliot MT, Rouby DA, Miller SL. Can't take my eyes off you: Attentional adhesion to mates and rivals. J Pers Soc Psychol. 2007;93(3):389–401. pmid:17723055.
  41. 41. Maner JK, Rouby DA, Gonzaga GC. Automatic inattention to attractive alternatives: The evolved psychology of relationship maintenance. Evol Hum Behav. 2008;29(5):343–9.
  42. 42. Miller RS. Inattentive and contented: Relationship commitment and attention to alternatives. J Pers Soc Psychol. 1997;73(4):758–66.
  43. 43. Miller SL, Maner JK. Evolution and relationship maintenance: Fertility cues lead committed men to devalue relationship alternatives. J Exp Soc Psychol. 2010;46(6):1081–4.
  44. 44. Plant EA, Kunstman JW, Maner JK. You do not only hurt the one you love: Self-protective responses to attractive relationship alternatives. J Exp Soc Psychol. 2010;46(2):474–7.
  45. 45. Simpson JA, Gangestad SW. Individual differences in sociosexuality: Evidence for convergent and discriminant validity. J Pers Soc Psychol. 1991;60(6):870–83. pmid:1865325
  46. 46. Penke L, Asendorpf JB. Beyond global sociosexual orientations: A more differentiated look at sociosexuality and its effects on courtship and romantic relationships. J Pers Soc Psychol. 2008;95(5):1113–35. pmid:18954197
  47. 47. Oliver MB, Hyde JS. Gender differences in sexuality: A meta-analysis. Psychol Bull. 1993;114(1):29–51. pmid:8346327
  48. 48. Petersen JL, Hyde JS. A meta-analytic review of research on gender differences in sexuality, 1993–2007. Psychol Bull. 2010;136(1):21–38. pmid:20063924
  49. 49. Rammsayer TH, Troche SJ. The relationship between sociosexuality and aspects of body image in men and women: A structural equation modeling approach. Arch Sex Behav. 2013;42(7):1173–9. pmid:23716198
  50. 50. Schmitt DP. Sociosexuality from Argentina to Zimbabwe: A 48-nation study of sex, culture, and strategies of human mating. Behav Brain Sci. 2005;28(2):247–311. pmid:16201459
  51. 51. Weeden J, Sabini J. Subjective and objective measures of attractiveness and their relation to sexual behavior and sexual attitudes in university students. Arch Sex Behav. 2006;36(1):79–88. pmid:17136591
  52. 52. Schwarz S, Hassebrauck M. Interindividuelle unterschiede in beziehungspräferenzen: Das konstrukt beziehungsorientierung (BZO) und seine messung [individual differences in relationship preferences: relationship orientation and its measurement]. Z Sozialpsychol. 2007;38(3):179–93.
  53. 53. Buss DM. Sex differences in human mate preferences: Evolutionary hypotheses tested in 37 cultures. Behav Brain Sci. 1989;12(1):1–14.
  54. 54. Buss DM, Barnes M. Preferences in human mate selection. J Pers Soc Psychol. 1986;50(3):559–70.
  55. 55. Lippa RA. The preferred traits of mates in a cross-national study of heterosexual and homosexual men and women: An examination of biological and cultural influences. Arch Sex Behav. 2007;36(2):193–208. pmid:17380374.
  56. 56. Russock H. An evolutionary interpretation of the effect of gender and sexual orientation on human mate selection preferences, as indicated by an analysis of personal advertisements. Behaviour. 2011;148(3):307–23.
  57. 57. Buunk BP, Dijkstra P, Fetchenhauer D, Kenrick DT. Age and gender differences in mate selection criteria for various involvement levels. Pers Relatsh. 2002;9(3):271–8.
  58. 58. Regan PC, Levin L, Sprecher S, Christopher FS, Gate R. Partner preferences: What characteristics do men and women desire in their short-term sexual and long-term romantic partners? J Psychol Human Sex. 2000;12(3):1–21.
  59. 59. Regan PC. Minimum mate selection standards as a function of perceived mate value, relationship context, and gender. J Psychol Human Sex. 1998;10(1):53–73.
  60. 60. Regan PC. What if you can't get what you want? Willingness to compromise ideal mate selection standards as a function of sex, mate value, and relationship context. Pers Soc Psychol Bull. 1998;24(2):1294–303.
  61. 61. Simpson JA, Gangestad SW. Sociosexuality and romantic partner choice. J Pers. 1992;60(1):31–51.
  62. 62. Duncan LA, Park JH, Faulkner J, Schaller M, Neuberg SL, Kenrick DT. Adaptive allocation of attention: Effects of sex and sociosexuality on visual attention to attractive opposite-sex faces. Evol Hum Behav. 2007;28(5):359–64. pmid:17948071; PubMed Central PMCID: PMC2034358.
  63. 63. Maner JK, Gailliot MT, DeWall CN. Adaptive attentional attunement: Evidence for mating-related perceptual bias. Evol Hum Behav. 2007;28(1):28–36.
  64. 64. Feingold A. Gender differences in effects of physical attractiveness on romantic attraction: A comparison across five research paradigms. J Pers Soc Psychol. 1990;59(5):981–93.
  65. 65. Li NP, Bailey JM, Kenrick DT, Linsenmeier JAW. The necessities and luxuries of mate preferences: Testing the tradeoffs. J Pers Soc Psychol. 2002;82(6):947–55. pmid:12051582
  66. 66. Honekopp J. Once more: Is beauty in the eye of the beholder? Relative contributions of private and shared taste to judgments of facial attractiveness. J Exp Psychol Hum Percept Perform. 2006;32(2):199–209. pmid:16634665.
  67. 67. Leder H, Goller J, Rigotti T, Forster M. Private and shared taste in art and face appreciation. Front Hum Neurosci. 2016;10(155). pmid:27148012
  68. 68. Forsythe M, Zellner D, Cogan E, Parker S. Attractiveness difference magnitude affected by context, range, and categorization. Perception. 2014;43(1):59–69. pmid:24689132.
  69. 69. Christie J, Klein R. Familiarity and attention: Does what we know affect what we notice? Mem Cognit. 1995;23(5):547–50. pmid:7476240
  70. 70. Kniffin KM, Wilson DS. The effect of nonphysical traits on the perception of physical attractiveness. Evol Hum Behav. 2004;25(2):88–101.
  71. 71. Bates DM, Mächler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J Stat Softw. 2015;67(1):1–48.
  72. 72. Aharon I, Etcoff N, Ariely D, Chabris CF, O’Connor E, Breiter HC. Beautiful faces have variable reward value: fMRI and behavioral evidence. Neuron. 2001;32(3):537–51. pmid:11709163
  73. 73. Cloutier J, Heatherton TF, Whalen PJ, Kelley WM. Are attractive people rewarding? Sex differences in the neural substrates of facial attractiveness. J Cogn Neurosci. 2008;20(6):941–51. pmid:18211242
  74. 74. Hahn AC, Perrett DI. Neural and behavioral responses to attractiveness in adult and infant faces. Neurosci Biobehav Rev. 2014;46:591–603. pmid:25199981.
  75. 75. Vartanian O, Goel V, Lam E, Fisher M, Granic J. Middle temporal gyrus encodes individual differences in perceived facial attractiveness. Psychol Aesthet Creat Arts. 2013;7(1):38–47.
  76. 76. Gerger G, Leder H, Tinio PPL, Schacht A. pmid:Faces versus patterns: Exploring aesthetic reactions using facial EMG. Psychol Aesthet Creat Arts. 2011;5(3):241–50.
  77. 77. Zhang Q, Maner JK, Xu Y, Zheng Y. Relational motives reduce attentional adhesion to attractive alternatives in heterosexual university students in China. Arch Sex Behav. 2017;46(2):503–11. pmid:27173104.
  78. 78. Alexander GM, Charles N. Sex differences in adults' relative visual interest in female and male faces, toys, and play styles. Arch Sex Behav. 2009;38(3):434–41. pmid:19016319.
  79. 79. Nummenmaa L, Hietanen JK, Santtila P, Hyona J. Gender and visibility of sexual cues influence eye movements while viewing faces and bodies. Arch Sex Behav. 2012;41(6):1439–51. pmid:22402995.