Figures
Abstract
Color research has shown that red is associated with avoidance of threat (e.g., failure) or approach of reward (e.g., mating) depending on the context in which it is perceived. In the present study we explored one central cognitive process that might be involved in the context dependency of red associations. According to our theory, red is supposed to highlight the relevance (importance) of a goal-related stimulus and correspondingly intensifies the perceivers’ attentional reaction to it. Angry and happy human compared to non-human facial expressions were used as goal-relevant stimuli. The data indicate that the color red leads to enhanced attentional engagement to angry and happy human facial expressions (compared to neutral ones) - the use of non-human facial expressions does not bias attention. The results are discussed with regard to the idea that red induced attentional biases might explain the red-context effects on motivation.
Citation: Buechner VL, Maier MA, Lichtenfeld S, Schwarz S (2014) Red - Take a Closer Look. PLoS ONE 9(9): e108111. https://doi.org/10.1371/journal.pone.0108111
Editor: Adrian G. Dyer, Monash University, Australia
Received: April 29, 2014; Accepted: July 9, 2014; Published: September 25, 2014
Copyright: © 2014 Buechner et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The authors confirm that all data underlying the findings are fully available without restriction. The data are available on Figshare at: http://dx.doi.org/10.6084/m9.figshare.1149852.
Funding: This research was supported by the German Research Foundation (Deutsche Forschungsgemeinschaft [http://www.dfg.de]). Grant # MA 2447/4-1. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
The color-in-context theory [1]–[3], a recent model of color and psychological functioning, posits that color automatically triggers evaluative processes, which in turn influence psychological functioning (see also [4], [5]). These color effects are supposed to be grounded in a situative context [2], [3]. Recent research on the color red has shown that red carries the meaning of ‘danger’, ‘threat’, and ‘caution’ [6], triggers avoidance motivation and aggressive responses, and undermines performance in various forms of achievement contexts [7]–[10]. In the context of affiliation, however, red has been shown to be associated with the meaning of ‘attractiveness’, ‘sex’, and ‘romance’ and thus to activate approach motivation [11]–[15]. These context-dependent effects of the color red on motivation have also been confirmed by Meier and colleagues [16] who used a within study experimental manipulation of context. Even though the contextual framing of the meaning of the color red seems to be empirically well established, up to date, nothing is known about the exact nature of the underlying psychological mechanisms. Buechner, Maier, Lichtenfeld, and Elliot (unpublished data) proposed that red is a signal of relevance which carries the message that a present stimulus is important and worthy of attention [17]. This attentional bias then emphasizes the stimulus’ motivational message and thus increases the perceivers’ existing response tendencies. In other words, the red induced attentional bias is supposed to be an antecedent/prerequisite of context-specific red effects. This attentional biasing effect of red was tested in the present research.
Red and goal-relevance
Plenty of studies have documented effects of the color red on perceptual processes of social stimuli across different research areas. According to research investigating the influence of facial makeup on women’s attractiveness, red seems to play a fundamental role in the perception of faces (e.g., [18]–[25]). Additional research focused on the influence of the color red and other colors on perceptions of sex and ethnicity [26], [27], age [28]–[30], identity [31], [32], health [33], [34], and attractiveness [11], [12], [15], [29], [30], [35], [36]. In temporally and geographically diverse cultures reddish cheeks and lips enhance apparent perceptions of health and attractiveness, particularly in female faces [37]–[39], as these reflect higher estrogen levels [40], [41]. In addition, human perceptions of sexual attraction are accompanied by red skin flushing that spreads from the chest to the face [42]. Also, increased red coloration of the chest or genitals of some primates signals fertility and sexual receptivity [43]–[45] and thus facilitates approach behavior in potential mates [46], [47].
However, increased blood flow to the face or chest is also associated with anger toward and dominance over potential opponents in both humans and other primate species [48]–[54], which is accompanied by avoidance behavior within the observer [55], [56]. Specifically, the experience of anger increases red flushing of the skin in both men and women [57], [58], and these red faces in turn are perceived as more angry and dominant [52]. Also, Young and colleagues [59] found that the color red enhances the perception and identification of angry faces. Some findings even indicate that the color red seems to highlight the importance of stimuli. Changizi and colleagues [51] argue, that red signals have driven the primates’ red-green color system evolution.
In sum, red skin coloration has been shown to have effects on two different motivational tendencies namely approach as in the case of affiliation and avoidance as in the case of danger, by either accentuating engageable features of others or highlighting anger and dominance of potential opponents. Even though, research indicates that red seems to facilitate perception and identification of these features [59], it remains open whether these red effects are related to basic attentional mechanisms.
Goal-relevance and Attention
During the last two decades a growing number of studies have investigated the relationship between motivational states and attention (e.g., [60]). The posterior attentional system [61] has been shown to automatically orient attention from one particular stimulus to another. Interestingly, this system is supposed to be guided by motivational states that enable motivationally relevant stimuli to capture attention [62]. McArthur and Baron [63] suggest that individuals selectively process key features that are relevant to the satisfaction of their motives. Thus, motive activation is presumed to influence cognitive processes such as attention (e.g., [64]). Specifically, motivational states promote automatic attentional biases due to the inefficiency of disengaging attention (i.e., enhanced attentional adhesion) from goal-relevant stimuli. Theories of sexual selection, for instance, propose an attention bias toward physically attractive members of the opposite sex (e.g., [65]). This bias arises because physical attractiveness serves as a potential sign of health, fertility (e.g., [66]), and high genetic fitness, which in turn increases the likelihood of having genetically fit and healthy offspring [67]–[70]. In addition, self-protective motives, as well as trait and state anxiety, have been shown to enhance attentional vigilance toward threatening stimuli [71]–[73].
Taken together, research on motivation and attention clearly indicates that motivational states are often eliciting an intensified attentional processing mode. Apparently, a perceiver’s motivational goal has some potential to manifest itself in different forms of biased attention toward stimuli that might fit the goal.
The Present Research
The color red seems to be a cue of motive relevance and motivationally-relevant stimuli seem to attract attention. Hence, in an attempt to explain context dependent effects of the color red, Buechner et al. (unpublished data) recently suggested that the color red intensifies attention to goal-relevant stimuli. Human beings, already early in their life, seem to be predisposed to identify the emotional content of human faces for the purpose of reacting accordingly [74]. Thus, we decided to focus on this omnipresent class of goal relevant stimuli, that is, humans’ emotional expressions (happy and angry). We hypothesize that red increases the targets’ power to capture the perceiver’s attention and thus leads to enhanced attentional adhesion (i.e., reduced disengagement). A paradigm designed to identify variations in attentional adhesion is the so-called “dot probe task”, which measures participants’ efficiency in shifting attention away from a particular stimulus [72], [75]. In the study presented herein, we use this dot probe task to measure increased attentional adhesion of red primed angry and happy human facial expressions in comparison to various kinds of control conditions.
Method
Ethics Statement
The research reported herein was conducted at the LMU Munich and was approved by the ethics committee of the Department of Psychology, LMU Munich, in accordance with the ethical standards expressed in the Declaration of Helsinki. All participants gave verbal informed consent and were thoroughly debriefed. Verbal consent was considered to be sufficient, since it was ensured that data were stored and analyzed anonymously. The individuals’ verbal consent was obtained after reading the instruction to the experiments. The experimenter asked for the participant’s consent and emphasized that they will receive their credit also if they decided not to participate in this study. Participants were also told that they could stop and leave the experiment at any point of time. This consent procedure has been approved by the ethics committee.
Participants
159 undergraduates (148 women, mean age = 23.28 years, SD = 6.59) participated in this study for course credit. Participation was restricted to individuals who did not have a color deficiency.
Design and procedure
Participants were randomly assigned to a between-subjects target face condition (human vs. non-human) and were run individually by an experimenter blind to participants’ condition and the experimental hypothesis. They performed a modified visual dot probe task [60] whose objective is to measure attentional adhesion to goal relevant stimuli. This task has extensively been used by Maner and colleagues in a series of studies testing attentional processing of visually presented goal relevant material. Specifically, they found that successful goal activation slowed down attentional distraction for goal relevant objects confirming the link between motivational goal orientation and attention [60].
The dot probe task was created using the E-Prime stimulus presentation program (Psychology Software Tools, Pittsburgh, PA) and the procedure for each trial was as follows: First, a fixation cross (X) appeared in the middle of the computer screen for 1.000 ms. Concurrent with the disappearance of the fixation cross, a target face was displayed for 250 ms in one out of four quadrants of the screen (i.e., upper right, upper left, lower left, or lower right). After an interstimulus interval of 100 ms, a categorization object (circle or square) appeared at either the same position as the target face (filler trials) or in a different quadrant (attentional shift trials, that are the trials of interest, see Figure 1 for an example of the procedure). Hence, on attentional shift trials, participants need to shift their attention away from the location of the target face to a different position on the screen. Importantly, we used exposure durations of 250 ms, instead of 500 ms (e.g., [60]) to replicate the pattern of early vigilance followed by later avoidance reported by Cooper and Langton [76]. Each block contained 3 filler trials and 9 attentional shift trials. Shift and filler trials were randomly presented. Participants were told to categorize the object as a circle or square by pressing the A or K key, respectively, as quickly and accurately as possible. The response latency between the appearance of the object and the participant’s key response is the measure of attentional adhesion: While reduced response times indicate that it took less time to shift the attention away from the target face, larger response times indicate enhanced attentional adhesion. In line with Maner and colleagues [60] only response latencies on shift trials were analyzed. Once the participant categorized the object, feedback was provided for 1.500 ms, followed by a 2.000 ms break before the next trial. Participants were given 16 practice trials to familiarize themselves with the procedure, followed by four blocks of 12 experimental trials in a random order within each block. The position of the target face and position of the object type (circle or square) were randomized across trials, so that each appeared in either location with equal probability for each type of face.
The stimuli used in the present study consisted of 48 target pictures (4 human male faces were selected from FACES, a validated database of facial expressions by the Max Planck Institute for Human Development [77]) and 4 non-human faces (i.e., neutral abstract faces, frownies, and smileys); each face with an angry, happy, and neutral facial expression, respectively, and each of these 24 faces with a red and blue T-shirt, respectively, rendering 48 pictures in total), revealing a color 2 [red, blue]×emotion expression 3 [angry, happy, neutral]×2 target face [human, non-human] mixed design ANOVA with color and emotion expression as within-subjects factors and target face as a between-subjects factor. By using Adobe Photoshop, the T-Shirts were colorized in red or blue. A GretagMacBeth Eye-One Pro spectrophotometer was used to select red and blue colors that were equivalent on lightness and chroma, revealing parameters for red LCh (39, 77, 40) and for blue LCh (39, 77, 282). This contrast allows a highly controlled test of the effect of hue holding the other two color properties constant. We included both, human and non-human facial stimuli to test for the role of the color red on stimuli that are specifically socially relevant (see Figure 2 for an example of the type of stimuli used). We expected red effects on attentional adhesion rather for emotional human faces than for non-emotional and non-human facial stimuli, given the importance of human faces for social communication reported in the literature (e.g., [78], [79]). Emotional human facial stimuli specifically function to non-verbally communicate motive-relevant information to the perceiver (see [80]–[83] for the goal-relevance of human faces). Displaying such a signified message has been shown to enhance the perceivers’ attention [84]–[86]. With regard to the color red, as a signal of relevance, we propose that it should additionally intensify the motive-relevance of valenced faces and thus causing increased attentional adhesion toward them compared to control faces. Pictures used reveal a high intensity of the prototypical facial expression and are standardized regarding the size and distances of the head in the picture to the image borders (there were slight deviations due to differences in head sizes, neck lengths, and hairstyle, see [77]). To ensure the same brightness, Ebner and colleagues [77] matched all pictures to a predetermined standardized matrix image by using Adobe Photoshop CS. All face images were presented at the same size on a color-calibrated screen and participants sat approximately 50 cm away from the screen in a darkened room.
After finishing the dot probe task, participants answered some demographical questions and were debriefed and dismissed. No participant reported awareness of the purpose of the task.
Measures
Participants’ reaction time (in milliseconds) with which they responded on attentional shift trials served as the dependent variable. Separate measures of attentional adhesion to red and blue human and non-human faces with an angry, happy, and neutral facial expression were calculated. According to Maner and colleagues [60], participants with highly aberrant data (response times greater than 3.0 standard deviations above or below the sample mean) and trials with incorrect categorizations should be removed from analysis. Notably, none of the participants fulfilled these criteria, so neither participants nor trials were removed in the present study.
Results
First, a 2×3×2 mixed design ANOVA with color (red vs. blue) and emotion expression (angry vs. happy vs. neutral) as within-subjects factors and target face (human vs. non-human) as a between-subjects factor was conducted on attentional bias, to compare attentional adhesion to human and non-human targets with an angry, happy, and neutral facial expression in the red and blue color condition. Our prediction was that attentional adhesion should be found in the red condition for valenced (i.e. angry and happy) human faces compared to neutral ones. No color×emotion expression effects were expected for the non-human stimuli.
The analyses revealed the predicted three-way interaction between color, emotion expression, and target face, F(2,156) = 3.07, p = .048, η2p = .02. No significant main effect of emotion expression (F<1) nor color (F<1) was found. Only the main effect of target face was significant, F(1,157) = 13.19, p<.01, η2p = .08, with non-human faces being processed less quickly (M = 501.07 ms, SD = 85.29) relative to human stimuli (M = 437.83 ms, SD = 130.00). Within the human condition, the analyses revealed the predicted two-way interaction between color and valence, F(2,77) = 2.46, p = .09, η2p = .06. No significant main effect of valence (F = 2.00, p = .14) nor color (F = 1.18, p = .28) was found. Within the non-human condition, the analyses revealed no two-way interaction between color and valence, F = .70, p = .50, as well as no significant main effect of valence (F = .12, p = .89) or color (F = .02, p = .88).
Next, we analyzed the data separately for the human and the non-human faces conditions. Abelson and Prentice [87] as well as Rosenthal and Rosnow [88] suggested the use of a set of a priori contrasts for the analysis of effects obtained in an ANOVA. Following this, we first tested the existence of a valence effect within the human faces condition. A Helmert contrast comparing neutral vs. valenced (i.e., angry and happy) faces revealed a marginally significant effect, F(1,78) = 3.44, p = .067, η2p = .04, indicating that angry (M = 442.69 ms, SD = 131.17) and happy faces (M = 438.59 ms, SD = 133.72) produced more attentional adhesion than neutral ones (M = 432.20 ms, SD = 134.74). The same Helmert contrast performed within the non-human faces condition revealed no valence effect on attentional adhesion, F<1.
Next we tested our hypothesis that red increases attentional adhesion for valenced compared to neutral human faces, but not for non-human ones. For human faces within the red condition the corresponding Helmert contrast (neutral vs. valenced faces) was significant, F(2,156) = 3.44, p = .034, η2p = .04. Additionally performed planned contrasts revealed increased attentional adhesion for angry (M = 446.19 ms, SD = 128.85) versus neutral faces (M = 428.47 ms, SD = 131.92), t(78) = 2.64, p = .01, d = .37 (see Figure 3). A similar effect was found for happy (M = 445.59 ms, SD = 140.72) versus neutral faces (M = 428.47 ms, SD = 131.92), t(78) = 2.19, p = .03, d = .19 (see Figure 3). No significant difference was found for angry versus happy facial expressions, t<1. In the blue baseline condition, no significant differences were found, all ts<1 (see Figure 3).
In addition another set of planned contrast was performed. Color effects (red vs. blue) were tested separately within the valenced (angry and happy) and the neutral facial target condition. The analysis performed with valenced stimuli yielded a marginally significant color effect, revealing increased attentional adhesion for red (M = 445.89 ms, SD = 129.69) versus blue valenced faces (M = 435.39 ms, SD = 134.21), t(78) = 1.91, p = .06, d = .21. No significant effect was obtained for neutral faces (red, M = 428.47 ms, SD = 131.92, versus blue neutral faces, M = 435.94 ms, SD = 142.82, all ts<−1.22). An additional set of color contrasts performed separately for angry and happy human faces revealed no significant color effect for angry faces (red, M = 446.19 ms, SD = 128.85, versus blue angry faces, M = 428.47 ms, SD = 131.92, t<1). However, there was a color trend for happy faces, yielding increased attentional adhesion for red (M = 445.59 ms, SD = 140.72) versus blue happy faces (M = 431.60 ms, SD = 135.18), t(78) = 1.83, p = .07, d = .21. It seems that the color effect on attentional adhesion within the group of valenced human faces was primarily driven by happy facial expressions. To test whether the red-happy effect was driven by the somewhat low red-neutral baseline, as one of the reviewers suggested, we checked whether red-neutral was significantly different from any of the blue conditions (all the other possible baseline conditions). All t scores obtained were less than 1.6, all ps>.10, indicating that the red neutral baseline was not an outlier. We also performed an analysis red-happy vs. blue-angry/blue-neutral, and found that it was not significant, all ts<1.11. This latter finding - but only if regarded in isolation- causes some doubt in the validity of the red-neutral score as a baseline when comparing it with the red-happy mean score.
The same analyses performed within the non-human faces condition revealed no significant effects. No significant differences neither with the Helmert contrast (neutral vs. valenced faces, F<1) nor with any of the additionally performed contrasts neither in the red nor in the blue condition were found, all ts<1 (see Figure 4). Also, none of the color contrasts for any of the emotion expression (valenced or neutral) conditions was significant, all ts<1.004.
Taken together, in line with our predictions red seems to increase attentional adhesion for valenced human faces compared to neutral ones and compared to a blue control color condition. No red effect was found for non-human stimuli.
Supplementary analyses. Since only male target pictures were presented we explored the potential moderating role of participants’ gender on the attentional adhesion effect reported above. From a theoretical point of view, such moderating effects of gender have not originally been expected: Although males might differ from females with regard to the exact motive under which a valenced facial stimulus is perceived, for instance a smiling man might induce approach tendencies in female perceivers (due to being a potential mating partner) and avoidance tendencies in male perceivers (due to being a potential competitor), nevertheless, in both instances a motive should always increase attentional adhesion regardless of its quality. As described in the method section, a disproportionally high amount of female individuals (148 out of 159) participated in this study. Thus any interaction effects with gender could not be tested. As an alternative we calculated the effect size for the three-way interaction for females only. In this way gender-specific motives possibly being present in the perceiver while watching the pictures were kept constant. An ANOVA conducted in the female sample with all the factors described above again yielded a significant three-way interaction between color, emotion expression, and target face, F(2,146) = 3.81, p = .02, η2p = .025. Importantly, the effect size obtained with female participants does not differ from the effects size obtained with the whole sample (η2p = .02). In addition, an ANCOVA with gender treated as covariate also yielded the same effect size for the three-way interaction as reported above, F(2,152) = 3.80, p = .02, η2p = .024, and thus further supports that gender effects are negligible in our study.
Discussion
Prior research has defined context in terms of domain of behavior (i.e., the achievement and the affiliation domain; [3] for a review) and results showed that the influence of color on psychological functioning varies as a function of these. However, so far the exploration of the underlying psychological mechanisms was neglected. In a recent attempt to shed some light on these mechanisms, Buechner et al. (unpublished data) suggested that red primarily functions as a signal of increased relevance and that it intensifies attentional processing of goal-related stimuli. In the study presented here, human faces displaying different kind of emotional states served as experimental stimuli (see [80]–[83] for the goal-relevance of human faces). We examined the combined influence of color and emotion expression on increased attentional adhesion to human and non-human targets. We anticipated increased attentional adhesion in the red condition for angry and happy human faces compared to neutral ones. In addition, we anticipated no such effects in either the blue human or the non-human conditions. As predicted, within the red condition, increased attentional adhesion for angry and happy versus neutral human faces was found and no such effects emerged within the blue condition. Further, for the non-human targets no color×emotion expression effects were obtained confirming the idea that red only increases attentional adhesion for socially relevant targets (i.e. human faces). In comparison to non-human targets, human targets are more meaningful for an individual, as they convey crucial information with regard to an observer’s social goals such as approaching happy and thus friendly individuals to engage with them and avoiding potentially threating ones as in the case of anger. According to our interpretation, red increases the personal relevance of such existing affective, goal-related information and thus to a higher degree attracts an individual’s attention.
Although not tested, our theoretical model also postulates that in a second step attentional adhesion serves as an intensifier of ongoing motivational tendencies (Buechner et al. demonstrated that red was indeed an intensifier of a motivational tendency without referring to attention [unpublished data]). This idea of attention being the moderator of motivation bears some parallels with existing theories and research on attention and motivation. For instance, Gable and Harmon-Jones [89] could demonstrate that manipulations of attentional focus toward affective stimuli also increased electrophysiological emotional responses to them. According to their research, attentional processes (in this case focus of attention) and experienced motivational intensity were closely related to and causally affected by each other (see [90]). Taken together, in the present study, context is represented by valenced faces, as emotional faces are known to represent goal- relevance [80]–[83] and thus ultimately elicit approach and avoidance tendencies. In addition, according to our theory, in an early processing step any motivational context (approach and avoidance) should produce increased attentional adhesion when red is involved. The context-specific differential effects of the color red on behaviors (as described in the previous color literature) should then emerge in a later stage of processing. Specifically, red in avoidance related contexts (e.g. achievement or threat) should produce avoidance reactions and fear whereas red in approach related domains should elicit approach behaviors and hope. In other words, attentional adhesion is supposed to be the initial indicator of relevance in order to support these contextually framed behavioral strategies. We are aware of the fact that the present study only constitutes a first step of testing the idea that context effects of the color red on motivation are mediated by attentional adhesion mechanisms and future studies should explore this mediational role. However, we think that identifying attention as a potential promising candidate is an important first step. In our view we successfully managed this initial research goal with a highly powerful sample and carefully designed control conditions.
We also think that the color red might not be the only factor that serves the purpose of increasing the relevance and motivational power of a stimulus. Additional potential candidates amongst others may be target position on the screen, display duration, or picture size. These and other factors as well as their effects on contextual variations of motivational goals should also be explored in future research. Nevertheless, red played a central role in our research on “motivation in context” as it is a stimulus that naturally occurs and can easily vary on human faces (e.g., [18]–[25]).
Author Contributions
Conceived and designed the experiments: VLB MAM SL. Performed the experiments: VLB SS. Analyzed the data: VLB MAM. Contributed reagents/materials/analysis tools: VLB MAM. Contributed to the writing of the manuscript: VLB MAM SL. Theoretical conceptualization: VLB MAM.
References
- 1. Elliot AJ, Maier MA (2007) Color and Psychological Functioning, Curr Dir Psychol Sci. 16: 250–254.
- 2. Elliot AJ, Maier MA (2012) Color-in-context theory. Adv Exp Soc Psychol 45: 63–125.
- 3. Elliot AJ, Maier MA (2014) Color Psychology: Effects of Perceiving Color on Psychological Functioning in Humans. Annu Rev Psychol 65: 95–120.
- 4.
Goethe JW (1810) Theory of colours. London: Frank Cass.
- 5. Goldstein K (1942) Some experimental observations concerning the influence of colors on the function of the organism. Occup Ther and Rehabil 21: 147–151.
- 6. Moller AC, Elliot AJ, Maier MA (2009) Basic hue-meaning associations. Emotion 9: 898–902.
- 7. Elliot AJ, Maier MA, Moller AC, Friedman R, Meinhardt J (2007) Color and psychological functioning: The effect of red on performance attainment. J Exp Psychol Gen 136: 154–168.
- 8. Elliot AJ, Maier MA, Binser MJ, Friedman R, Pekrun R (2009) The effect of red on avoidance behavior in achievement contexts. Pers Soc Psychol B 35: 365–375.
- 9. Maier MA, Elliot AJ, Lichtenfeld S (2008) Mediation of the negative effect of red on intellectual performance. Pers Soc Psychol B 34: 1530–1540.
- 10. Guéguen N, Jacob CL, Lourel M, Pascual A (2012) When drivers see red: Car color frustrators and drivers’ aggressiveness. Aggressive Behav 38: 166–169.
- 11. Elliot AJ, Niesta D (2008) Romantic Red: Red Enhances Men’s Attraction to Women. J Pers Soc Psychol 95: 1150–1164.
- 12. Elliot AJ, Niesta D, Greitemeyer T, Lichtenfeld S, Gramzow RH, et al. (2010) Red, Rank and Romance in Women Viewing Men. J Exp Psychol Gen 139: 399–417.
- 13.
Jacobs L, Keown C, Worthley R, Ghymn KI (1991) Cross-cultural colour comparisons: global marketers beware! Int Market Rev 8(3).
- 14. Kaya N, Epps HH (2004) Relationship between coloor and emotion: a study of college students. Coll Student J 38: 396–405.
- 15. Niesta Kayser D, Elliot AJ, Feltman R (2010) Red and romantic behavior in men viewing women. Eur J Soc Psychol 40: 901–908.
- 16.
Meier BP, D’Agostino PR, Elliot AJ, Maier MA, Wilkowski BM (2012) Color in context: Psychological context moderates the influence of red on approach-and avoidance-motivated behavior. PloS ONE, 7(7), e40333.
- 17.
Humphery N (1976) The colour currency of nature. In: Porter T, Mikellides B, editors. Colour archit. London: Studio-Vista. pp. 95–98.
- 18. Graham JA, Jouhar AJ (1981) The effects of cosmetics on person perception. Int J Cosmetic Sci 3: 199–210.
- 19. Cox CL, Glick WH (1986) Resume evaluation and cosmetics use: When more is not better. Sex Roles 14: 51–58.
- 20. Cash TF, Dawson K, Davis P, Bowen M, Galumbeck C (1989) Effects of cosmetics use on the physical attractiveness and body image of American college women. J Soc Psychol 129: 349–355.
- 21. Workman JE, Johnson KK (1991) The role of cosmetics in impression formation. Cloth Text Res J 10: 63–67.
- 22. Mulhern R, Fieldman G, Hussey T, Lévêque JL, Pineau P (2003) Do cosmetics enhance female Caucasian facial attractiveness. Int J Cosmetic Sci 25: 199–205.
- 23. Nash R, Fieldman G, Hussey T, Lévêque JL, Pineau P (2006) Cosmetics: They influence more than Caucasian female facial attractiveness. J Appl Soc Psychol 36(2): 493–504.
- 24. Richetin J, Huguet P, Croizet JC (2007) Le rôle des cosmétiques dans les premières impressions: Le cas particulier du maquillage. L’Année Psychologique 107: 65–86.
- 25. Jacob C, Guéguen N, Boulbry G, Ardicioni R (2009) Waitresses’ Facial Cosmetics and Tipping: A Field Experiment. Int J Hospitality Manag 29: 188–190.
- 26. Hill H, Bruce V, Akamatsu S (1995) Perceiving the sex and race of faces: the role of shape and colour. P Roy Soc Lond B Bio 261: 367–373.
- 27. Tarr MJ, Kersten D, Cheng Y, Rossion B (2001) It’s Pat! Sexing faces using only red and green. J Vision 1(3): 337–337.
- 28. Burt DM, Perrett DI (1995) Perception of age in adult Caucasian male faces: computer graphic manipulation of shape and colour information. P Roy Soc Lond B Bio 259: 137–143.
- 29. Fink B, Grammer K, Matts PJ (2006) Visible skin colour distribution plays a role in the perception of age, attractiveness and health in female faces. Evol Hum Behav 27: 433–442.
- 30. Matts PJ, Fink B, Grammar K, Burquest M (2007) Color homogeneity and visual perception of age, health and attractiveness of female facial skin. J Am Acad Dermatol 57: 977–984.
- 31. Lee K, Perrett DI (1997) The role of colour in face identification. Perception 26: 733–752.
- 32. Yip A, Sinha P (2002) Role of colour in face recognition. Perception 31: 995–1003.
- 33.
Stephen ID, Coetzee V, Law Smith MJ, Perrett DI (2009) Skin blood perfusion and oxygenation colour affect perceived human health. PLoS ONE, 4, e508.
- 34. Stephen ID, Law Smith MJ, Stirrat MR, Perrett DI (2009) Facial skin colouration affects perceived health of human faces. Int J Primatol 6: 845–857.
- 35. Roberts SC, Owen RC, Havlicek J (2010) Distinguishing between perceiver and wearer effects in clothing color-associated attributions. Evol Psychol 8(3): 350–364.
- 36. Prokop P, Hromada M (2013) Women use red in order to attract mates. Ethology 119: 605–613.
- 37.
Corson R (1972) Fashions in Makeup: From Ancient to Modern Times. London: Peter Owen.
- 38. Schaffer S (2007) Reading our lips: The history of lipstick regulation in Western seats of power. Food Drug Law J 62: 165–225.
- 39. Stephen ID, McKeegan AM (2010) Lip colour affects perceived sex typicality and attractiveness of human faces. Perception 39: 1104–1110.
- 40. Guéguen N (2012) Color and women hitchhikers’ attractiveness: Gentlemen drivers prefer red. Color Res Appl 37(1): 76–78.
- 41.
Low BS (1979) Sexual selection and human ornamentation. In: Chagnon N, Irons W, editors. Evolutionary Biology and Human Social Behavior. North Scituate, MA: Duxbury Press. pp. 462–487.
- 42.
Katchadourian HA (1984) Fundamentals of human sexuality. 4th ed. New York: Holt, Reinhart, & Winston.
- 43. Deschner T, Heistermann M, Hodges K, Boesch C (2004) Female sexual swelling size, timing of ovulation, and male behavior in wild West African chimpanzees. Horm Behav 46(2): 204–215.
- 44. Dixson AF (1983) Observations on the evolution and behavioral significance of “sexual skin” in female primates. Adv Stud Behav 13: 63–106.
- 45. Setchell JM, Wickings EJ, Knapp LA (2006) Signal content of red facial coloration in Female mandrills (Mandrillus sphinx). P Roy Soc Biol 273: 2395–2400.
- 46. Bielert C, Girolami L, Jowell S (1989) An experimental examination of the colour component in visually mediated sexual arousal of the male chacma baboon (Papio ursinus). J Zool 219(4): 569–579.
- 47. Waitt C, Gerald MS, Little AC, Kraiselburd E (2006) Selective attention toward female secondary sexual color in male rhesus macaques. Am J Primatol 68(7): 738–744.
- 48. Pryke SR, Andersson S, Lawes MJ, Piper SE (2002) Carotenoid status signaling in captive and wild red-collared widowbirds: independent effects of badge size and color. Behav Ecol 13(5): 622–631.
- 49. Setchell JM, Dixson AF (2001) Changes in the Secondary Sexual Adornments of Male Mandrills (Mandrillus sphinx) Are Associated with Gain and Loss of Alpha Status. Horm Behav 39(3): 177–184.
- 50. Setchell JM, Wickings EJ (2005) Dominance, status signals and coloration in male mandrills (Mandrillus sphinx). Ethology 111: 25–50.
- 51. Changizi MA, Zhang Q, Shimojo S (2006) Bare skin, blood, and the evolution of primate colour vision. Biol Lett 2: 217–221.
- 52. Drummond PD (1997) Correlates of facial flushing and pallor in anger-provoking situations. Pers Indiv Differ 23: 575–582.
- 53. Fetterman AK, Robinson MD, Meier BP (2012) Anger as “Seeing Red”: Reaction time evidence for an implicit association. Cognition Emotion 26: 1445–1458.
- 54. Hill RA, Barton RA (2005) Red enhances human performance in contests. Nature 435: 293.
- 55. Bergman TJ, Ho L, Beehner JC (2009) Chest color and social status in male geladas (Theropithecus gelada). Int J Primatol 30: 791–806.
- 56. Gerald MS, Waitt C, Little AC (2009) Pregnancy coloration in macaques may act as a warning signal to reduce antagonism by conspecifics. Behav Process 80(1): 7–11.
- 57. Drummond PD (1999) Facial flushing during provocation in women. Psychophysiolog 36: 325–332.
- 58. Drummond PD, Quah SH (2001) The effect of expressing anger on cardiovascular reactivity and facial blood flow in Chinese and Caucasians. Psychophysiolog 38: 190–196.
- 59. Young SG, Elliot AJ, Feltman R, Ambady N (2013) Red enhances the processing of facial expressions of anger. Emotion 13: 380–384.
- 60. Maner JK, Gailliot MT, Rouby DA, Miller SL (2007) Can’t take my eyes off you: Attentional adhesion to mates and rivals. J Pers Soc Psychol 93: 389–401.
- 61. Posner MI, Peterson SE (1990) The attention system of the human brain. Annu Rev Neurosci 13: 25–42.
- 62. Fox E, Russo R, Dutton K (2002) Attentional bias for threat: Evidence for delayed disengagement from emotional faces. Cognition Emotion 16(3): 355–379.
- 63. McArthur LZ, Baron RM (1983) Toward an ecological theory of social perception. Psychol Rev 90: 215–238.
- 64. Moskowitz GB (2002) Preconscious effects of temporary goals on attention. J Exp Soc Psychol 38: 397–404.
- 65. Li NP, Kenrick DT (2006) Sex similarities and differences in preferences for short-term mates: What, whether, and why. J Pers Soc Psycho 90: 468–489.
- 66. Singh D (1993) Adaptive significance of female physical attractiveness: Role of the waist-to-hip ratio. J Pers Soc Psychol 65: 293–307.
- 67. Buss DM, Schmitt D (1993) Sexual strategies theory: An evolutionary perspective on human mating. Psychol Rev 100: 204–232.
- 68. Kenrick DT, Keefe RC (1992) Age preferences in mates reflect sex differences in reproductive strategies. Behav Brain Sci 15: 75–133.
- 69. Gangestad SW, Simpson JA (2000) On the evolutionary psychology of human mating: Trade-offs and strategic pluralism. Behav Brain Sci 23: 573–587.
- 70. Scheib JE, Gangestad SW, Thornhill R (1999) Facial attractive- ness, symmetry, and cues of good genes. P Roy Soc Lond B Bio 266: 1913–1917.
- 71. Bradley BP, Mogg K, Falla S, Hamilton LR (1998) Attentional bias for threatening facial expressions in anxiety: Manipulations of stimulus duration. Cognition Emotion 12: 737–753.
- 72. Fox E, Russo R, Bowles R, Dutton K (2001) Do threatening stimuli draw or hold visual attention in subclinical anxiety? J Exp Psychol Gen 130: 681–700.
- 73. Mogg K, Bradley BP (1999) Orienting of attention to threatening facial expressions presented under conditions of restricted awareness. Cognition Emotion 13: 713–740.
- 74. Grossmann T (2010) The development of emotion perception in face and voice during infancy. Restor Neurol Neuros 28: 219–236.
- 75. Derryberry D, Reed MA (1994) Temperament and attention: orienting toward and away from positive and negative signals. J Pers Soc Psychol 66: 1128–1139.
- 76. Cooper RM, Langton SRH (2006) Attentional bias to angry faces using the dot-probe task? It depends when you look for it. Behav Res Ther 44: 1321–1329.
- 77. Ebner NC, Riediger M, Lindenberger U (2010) FACES–A database of facial expressions in young, middle-aged, and older women and men: Development and validation. Behav Res Meth 42(1): 351–362.
- 78. Haxby JV, Hoffman EA, Gobbini MI (2002) Human neural systems for face recognition and social communication. Biol psychiatry 51(1): 59–67.
- 79. Kanwisher N (2000) Domain specificity in face perception. Nat Neurosci 3: 759–63.
- 80. Ekman P (1997) Should we call it expression or communication? Innov: Eur J Soc Sci 10: 333–344.
- 81.
Fridlund AJ (1994) Human facial expression: An evolutionary view. San Diego, CA: Academic.
- 82. Parkinson B (2005) Do Facial Movements Express Emotions or Communicate Motives? Pers Soc Psychol Rev 9(4): 278–311.
- 83. Sander D, Grafman J, Zalla T (2003) The Human Amygdala: An Evolved System for Relevance Detection. Rev Neuroscience 14: 303–316.
- 84.
Armony JL, LeDoux JE (2000) How danger is encoded: Towards a systems, cellular, and computational understanding of cognitive-emotional interactions in fear. In: Gazzaniga MS (editor). The New Cognitive Neurosciences. MIT Press, Cambridge, MA. pp. 1067–1080.
- 85. Morris J, Friston KJ, Buchel C, Frith CD, Young AW, et al. (1998) A neuromodulatory role for the human amygdala in processing emotional facial expressions. Brain 121: 47–57.
- 86. Vuilleumier P, Schwartz S (2001) Emotional facial expressions capture attention. Neurology 56: 153–158.
- 87. Abelson RP, Prentice DA (1997) Contrast tests of interaction hypothesis. Psychol Methods 2(4): 315.
- 88.
Rosenthal R, Rosnow RL (1985) Contrast analysis: Focused comparisons in the analysis of variance. Cambridge, England: Cambridge University Press.
- 89. Gable PA, Harmon-Jones E (2012) Reducing attentional capture of emotion by broadening attention: Increased global attention reduces early electrophysiological responses to negative stimuli. Biol Psychol 90: 150–153.
- 90. Harmon-Jones E, Price TF, Gable PA (2012) The Influence of Affective States on Cognitive Broadening/Narrowing: Considering the Importance of Motivational Intensity. Soc Pers Psychol Compass 6: 314–327.