Previous inquiry suggests that individuals instinctively mirror their communication partner'due south facial expressions ( Hess & Bourgeois, 2010 ), behavioural gestures ( Tschacher, Rees, & Ramseyer, 2014 ), and speech inflections ( Sunday, Truong, Pantic, & Nijholt, 2011 ) in guild to enhance interpersonal understanding and rapport. Even in a laboratory setting, exposure to pictures of emotional facial expressions generates specific facial electromyographic (EMG) activeness. More specifically, pictures of angry faces have shown to increment participants' corrugator muscle response, i.east. the muscles responsible for creating a frown; similarly, pictures of happy faces increase participants' zygomatic muscle activity, i.due east. the muscles responsible for the formation of a smiling ( Dimberg, 1982 ). This natural tendency for individuals to reproduce the facial, behavioural, and vocal expressions of others is referred to every bit mimicry. Mimicry is usually defined every bit an unconscious and automatic process; furthermore, evidence of this process in new-built-in babies and other animals indicates that mimicry is an innate, adaptive, social behaviour ( Estow, Jamieson, & Yates, 2007 ; Iacoboni, 2009 ).

Literature surrounding mimicry is all-encompassing; nevertheless, although existing studies have focused on the functions and outcomes of mimicry, little has been done in relation to the investigation of sex or gender differences. The present literature review begins with an introduction to the functions and outcomes of mimicry and the link between mimicry and empathy. Research show suggesting a potential male-female division in mimicry will then be presented, along with an outline of the implications that such a divide may take for the existing literature. Post-obit the introduction to the literature, results of manufactures that nourish to sex or gender in their analyses will be presented, with a subsequent discussion of the results and future recommendations for researchers.

Functions and Outcomes of Mimicry

The chapters and propensity for humans to mimic each other has long been of interest to both researchers and laypeople akin ( CosmoGirl!, 2004 ; Lakin, Jefferis, Cheng, & Chartrand, 2003 ). Social psychology has suggested that mimicry has beneficial effects for all relationships and serves every bit a social glue, creating and reinforcing interpersonal bonds ( van Baaren, Holland, Kawakami, & van Knippenberg, 2004 ). 1 report conducted by Zajonc, Adelmann, Murphy, and Niedenthal ( 1987 ) reported that married couples' facial expressions get more similar overtime. Information technology is argued that this similarity in appearance is due in office to the couple'due south frequent, nonconscious mimicry of each other's facial expressions. In addition, mimicry is thought to play an of import role in infant social and emotional development. For instance, Haviland and Lelwica ( 1987 ) reported that by the historic period of ten weeks, an babe volition mimic their mother'southward joyful and angry facial expressions. This developmental stage is of great social importance as the ability to mimic facial expressions is intimately connected to the ability to empathise emotion, and so the ability to empathise with others ( Blairy, Herrera, & Hess, 1999 ).

Mimicry and Emotion Recognition

This connection between facial mimicry and empathy was outset proposed by Lipps ( 1907 ), who suggested that the replication of another'due south facial expression induces the experience of that emotion in the private themselves, thus allowing the individual to feel how their communication partner is feeling. To date, many studies have been inspired by the Matched Motor Hypothesis (MMH) ( Hess & Fischer, 2013 ) and the Facial Feedback Hypothesis (FFH) ( Buck, 1980 ). MMH proposes that the mere perception of other'south facial expressions will elicit a similar expression in that of the observer ( Hess & Fischer, 2013 ). FFH proposes that facial motility can influence emotional feel ( Buck, 1980 ; Kraut, 1982 ).

Laird ( 1974 ) examined the link between facial move and emotional states by asking participants to tighten specific facial muscles which would result in either a pout or a smile, and thereafter, assessed their mood. In support of FFH, participants were more likely to rate their mood as happier when they adopted a grin, and angrier when pulling a frown. Similarly, while watching cartoons, Strack, Martin, and Stepper ( 1988 ) asked participants to hold a pen in their oral fissure in ways that either inhibited or enabled muscles typically associated with smiling. The researchers found that participants rated the cartoons as more humorous when the pen did not interrupt their ability to grin than when it did. Fusing the propositions of both MMH and FFH, Oberman, Winkielman, and Ramachandran ( 2007 ) tested whether blocking their participant's ability to mimic, via pencil bitter or chewing gum, would interrupt their ability to recognise emotion. Their results showed that when the ability to mimic the emotional expression of some other is blocked, this impairs the participant'southward ability to place emotions. The results of such studies back up Lipps' ( 1907 ) argument that facial mimicry is an important component in emotion recognition.

Comparing Male and Female Mimicry

Equally exemplified by a contempo critique of the simulation of smiles model ( Simpson & Fragaszy, 2010 ), one prominent issue within the field of mimicry is the lack of consideration of male person and female differences. In line with the comments made by Simpson and Fragaszy ( 2010 ), the current review suggests that in that location are two main stances from which ane can expect males and females to differ in mimicry behaviour. The first of these involves the biological differences between males and females, the second involves the impact of gender socialisation on facial and behavioural expression.

Biological sexual activity. Beginning with the facial regions involved in the expressions surprise, sadness, happiness, and disgust, previous research has identified that, compared to females, males showroom larger movements in the upper brow and forehead region ( Sforza, Galante, Shirai, & Ferrario, 2010 ), the mouth corner region, and the upper lip region ( Giovanoli, Tzou, Ploner, & Frey, 2003 ) fifty-fifty when controlling for facial size ( Clark Weeden, Trotman, & Faraway, 2001 ). These results advise that men should accept more pronounced reactions to the aforementioned emotions.

Additionally, in recent years neuroscience has argued for the interest of mirror neurons in mimicry. Mirror neurons have been described as a distinct set of neurons that belch when humans and animals view the motor movements of others, information technology is suggested that these neurons may facilitate mimicry ( Acharya & Shukla, 2012 ). Research in this field has identified that females recruit areas of the encephalon containing mirror neurons to a higher caste than males ( Schulte-Rüther, Markowitsch, Shah, Fink, & Piefke, 2008 ), and further all the same, that these regions are anatomically and functionally different for males and females, suggesting that males and females may use different cognitive emotional processing strategies which may contribute to the observed sexual practice differences in mimicry ( Cheng et al., 2009 ; Yamasue et al., 2008 ).

A third statement for potential sexual practice differences in mimicry comes from a study of spinal activation while viewing body movements. Comparing the spinal excitability level of males and females observing video recordings of bipedal-heel stepping, standing even so, and bipedal-toe stepping, Cheng et al. ( 2007 ) discovered that females show higher levels of spinal excitability modulation than males, meaning females had a stronger impulse to mimic the observed motor movements compared to males.

The final argument normally used to propose sexual activity differences in mimicry comes from enquiry on the impact of testosterone on emotional competence. Nosotros already know that men have college baseline testosterone levels than women ( Baron-Cohen, 2002 ) and that lower levels of testosterone have been found to predict pro-social behaviour in both men and women ( Harris, Rushton, Hampson, & Jackson, 1996 ); therefore, Hermans, Putman, and van Honk ( 2006 ) tested the causality of the association betwixt testosterone level and emotional mimicry past manipulating the testosterone levels of female person participants. The results revealed that assistants of a single dose of testosterone significantly decreased females' emotional facial mimicry. Results reached highest significance in the corrugator supercilii muscles (frowning) and the zygomatic major muscles (smiling). Self-study measures of mood states did not reveal whatsoever effect of testosterone assistants indicating that the subtle effects of a unmarried dose of testosterone were not consciously noticed by participants. These results propose that as a result of having higher baseline testosterone levels, males should mimic to a lesser extent than females.

In summary, the enquiry findings presented above collectively argue for sex differences in mimicry based on male person and female biological differences in the varying regions currently believed to be related to mimicry. The results presented suggest that while males may prove more pronounced facial reactions to certain emotions, females should mimic the facial and behavioural movements of others to a greater extent than males. However, only because biological sexual activity ignores the potentially more imposing effect of gender socialisation.

Gender socialisation. Despite the abundance of research on biological sexual practice differences in relation to mimicry, enquiry examining differences between males and females have more than often discussed their results in terms of gender. In comparing to sex – the biology of existence male or female, gender refers to the societal roles and expectations attributed to men and women; and whilst the two terms, sex and gender, are often interconnected, the furnishings that biological sex activity and gender socialisation take on mimicry may differ (Phillips, 2005). For this reason, information technology is of import to talk over and consider both sex and gender when investigating male person and female differences in mimicry.

In many cultures, stereotypical gender norms paint strongly contrasting images of men and women. The portrayal of the platonic adult female unremarkably encompasses the terms gentle, empathetic, blithesome, and compliant; nevertheless, the adjectives more normally used to draw men include courageous, aggressive, self-reliant, and domineering ( Prentice & Carranza, 2002 ). This dichotomous socialisation of men and women may trickle down into human nonconscious behaviours such as mimicry, which could alter the expected differences between males and females established on the biological level.

For instance, in contrast to some of the findings related to biological sex, previous inquiry focusing on gender have established that women tend to be more facially expressive than men ( Buck, Savin, Miller, & Caul, 1972 ) and have more pronounced facial reactions to emotional facial expressions than men ( Berenbaum & Rotter, 1992 ). Information technology is idea that these differences observed between men and women are connected to stereotypical gender norms. In that, stereotypical gender norms, as outlined to a higher place, place more importance on women's recognition of emotion than men'southward ( Hess & Bourgeois, 2010 ). In an attempt to examine the part of gender socialisation, Buck ( 1977 ) investigated how gender expectations may touch young children. Information technology was found that preschool boys from four to six years of age tended to inhibit and mask their own emotional facial responses to a greater extent than girls of the same historic period. Thus, it tin exist argued that the contrasting societal expectations for men and women in relation to emotion expression may take an impact on their level of mimicry from a young age.

Interestingly, although emotional display rules tend to differ somewhat cross-culturally, the acceptability for men and women to show 'soft' or 'stiff' emotions appears to remain constant. Safdar et al. ( 2009 ) compared the emotional brandish rules for seven different emotions in three different cultural groups: Canadians, Americans, and Japanese. Their enquiry indicated that while cross-cultural norms in relation to the brandish of emotion varied between North American and Japanese participants, in all groups information technology was more than acceptable for men to express powerful emotions such as acrimony, contempt, and disgust; and more acceptable for women to display less powerful emotions such every bit happiness, fear, and sadness. No differences were institute for the display of surprise. From these results, information technology tin can be argued that male and female person differences in facial mimicry may depend on which type of emotion is being observed.

A final statement suggesting gender differences in behavioural mimicry stems from feminist literature on women and men's occupation of space. In addition to personality and temperament related gender norms, stereotypical gender norms aggrandize to regulate the scope and magnitude of male and female person bodily movements e.g. manus gestures and leg movements ( Young, 1980 ). For instance, in line with the expectation for women to exist gentle and compliant, women typically use much less space than men during interactions. This can be seen in the way that women are typically expected to sit with their limbs closed or crossed and arms held relatively shut to their body. Contrastingly, information technology is acceptable for men to make use of more space than women by sitting with open up limbs and keeping their arms held farther from their body ( Wedgewood, 2004 ; Young, 1980 ). Although this would appear to be at odds with the predictions from biological sex, men'south increased access to space may lead to more pronounced behavioural mimicry particularly when presented with more robust stimuli.

To sum upward, gender poses restrictions on men and women's emotional and behavioural expression over and in a higher place that of biological sex activity. More than specifically, while the biological argument states that males should have more than pronounced facial reactions, according to societal and cultural gender display rules, this may only be the case for more powerful emotions such as anger, antipathy, and disgust. In line with these same brandish rules, women should bear witness more pronounced facial reactions to joy, sadness, and fear, just show less robust behavioural mimicry.

The Importance of Investigating Male and Female Differences

As mentioned before, many studies in the field of mimicry take not considered male and female differences, or accept avoided the issue of sex and gender differences past recruiting female or male samples only – see Figure ane. From a research perspective, this is concerning; if there are significant differences between males and females, equally suggested by the findings presented in a higher place, this would question the generalisability of the studies using female or male person samples only. Furthermore, one could query whether the results of studies with contrary-sex samples could in fact be explained by sex or gender differences.

Figure 1

Commodity pick process.

Aims and Objectives

In light of the lack of attention given to sex and gender within the literature in the field of mimicry, and the importance that both sex and gender differences may take for the design of time to come enquiry, the aim of the present article is to review existing literature on nonconscious mimicry, identify whether or not there are differences in the mimicry behaviour of males and females, and examine what factors may explain the differences.

Method

Literature Search

A search was conducted in October 2022 using the following databases: PsychInfo, PubMed, Spider web of Science, and Google Scholar. Manufactures were required to be written in English and published in peer-reviewed scientific journals. No publication date restrictions were applied. The search terms used were ("mimic" OR "mimicry") AND ("emotion" OR "behavior" OR "behaviour" OR "facial"). Search results were screened for relevancy using title and abstract data. Remaining articles were then read through to determine inclusion ability. The commodity selection process is illustrated in Figure 1.

Inclusion and Exclusion Criteria

For the purpose of this article, studies had to include a spontaneous mimicry paradigm, report on the results of the mimicry paradigm, include both male and female participants, and report on sex or gender differences in mimicry. Given that a number of studies have shown that sure clinical populations mimic to a bottom extent than salubrious controls ( Berndl, von Cranach, & Grüsser, 1986 ; Dethier & Blairy, 2012 ; McIntosh, Reichmann-Decker, Winkielman, & Wilbarger, 2006 ; Mergl, Mavrogiorgou, Hegerl, & Juckel, 2005 ) articles were excluded if the study results only reported on a specific clinical population.

Article Choice

The literature search of iv databases produced 266 potentially relevant articles. Following the screening of titles and abstracts, manufactures using clinical samples or testing the efficacy of a clinical or neurological treatment were excluded. A total of 214 articles remained and were read thoroughly to appraise for inclusion. Next 184 articles were excluded (encounter Figure i for detailed exclusion explanations), resulting in a last total of 30 articles.

Results

Report Characteristics

Taking into consideration all of the articles identified in the database search that included a mimicry paradigm, only 22% reported the inclusion of sexual practice or gender in their analyses. Of the final xxx articles, the blazon of mimicry and methodology varied considerably; nevertheless, 11 of these articles found some moderating effect of sex or gender. In line with previous research findings suggesting that mimicry can be affected by the nature and perceived authenticity of the stimuli ( Krumhuber & Kappas, 2005 ; Rymarczyk, Biele, Grabowska, & Majczynski, 2011 ), manufactures accept been grouped and are presented according to the stimulus blazon used in each study. A summary of the reviewed manufactures tin be found in Table 1.

Table i

Manufactures investigating sexual practice differences in nonconscious human mimicry.

Photographic Stimuli

Eight studies used emotionally loaded photographs to assess facial mimicry. The primeval of these eight studies was conducted by Lundqvist and Dimberg ( 1995 ) who aimed to explore the human relationship between facial mimicry and emotional contagion. The researchers used the pictures displaying acrimony, joy, fear, cloy, surprise, and neutrality ( Ekman & Friesen, 1975a ). Each image was presented for 8 south (seconds). Facial EMG action was recorded via the zygomaticus major (joy – pulls lip corners up), corrugator supercilii (acrimony/fright – knits the brow), Levator Labii Alesque Nasii (sad/disgust – elevates upper lip and dilates nostril), and Frontalis (surprise – raises the brow) muscles. The results revealed no significant issue of participant sex activity; however, upon further exploration, a trend was identified indicating more facial mimicry of happy faces amidst female participants.

Blairy et al. ( 1999 ) tested whether nonconscious mimicry of emotional facial expressions tin facilitate empathy. Photographs of joyful, aroused, lamentable, disgusted, fearful, and neutral faces were selected ( Matsumoto & Ekman, 1988 ). Participants' facial activity level was assessed using facial EMG readings from the Corrugator Supercilii (forehead), Orbicularis Oculi (eye), and the Levator Labii Alesque Nasii (upper lip) muscles. Each emotional facial expression was presented for ten s. The results revealed that participants did spontaneously mimic the expressions of those in the photographs; however, no pregnant sexual activity differences were found.

Aiming to investigate the association between empathy and mimicry at differing processing levels, Sonnby-Borgström ( 2002 ) used photographs of angry, neutral, and happy faces ( Ekman & Friesen, 1975b ) which were shown at 14 unlike exposure times ranging from 17 ms (milliseconds) to 6 s. Facial EMG was used to mensurate musculus activity in the Zygomaticus major and Corrugator Supercilii regions. Participant gender had a meaning effect on facial mimicry at the automatic processing level (17 – 30/40 ms) merely.

In a afterward study past Sonnby-Borgström, Jönsson, and Svensson ( 2003 ), the researchers once more investigated the association betwixt empathy and mimicry at differing processing levels. Like to the previous written report participants were exposed to iv happy and angry faces with a neutral image in between ( Ekman & Friesen, 1975b ). Exposure times were 17 ms, 56 ms, and 2,350 ms. Facial EMG was used to mensurate musculus activity in the Zygomaticus major and Corrugator Supercilii regions. In dissimilarity to their previous results, no upshot of gender was identified.

An effort was made by Vrana and Gross ( 2004 ) to replicate the earlier findings of Dimberg ( 1982 ), who showed that viewing posed facial expressions elicits facial mimicry. Images of joyful, angry, and neutral facial expressions ( Ekman & Friesen, 1975a ) were shown to participants for 8 s while facial movements were assessed via facial EMG data from the zygomaticus major and corrugator supercilii muscles. Although it was institute that participants' mimicked the expressions in the photographs, no gender differences in facial movements for either muscle regions were identified.

Having previously constitute mixed results, in 2008, Sonnby-Borgström, Jönsson, and Svensson aimed to identify whether gender differences in facial mimicry related to differing stimulus exposure times. It was hypothesised that differing levels of information processing, from spontaneous (subliminal) to controlled (supraliminal), would differentially influence men and women's mimicry. Participants were exposed to images of faces expressing anger, joy, sadness, and neutrality, taken from Ekman and Friesen ( 1975b ). Subliminal-level photos were presented for 23 ms, borderliminal for 70 ms, and supraliminal for 2,500 ms. Similar to the in a higher place report, Sonnby-Borgström and colleagues used facial EMG data from the zygomaticus major and corrugator supercilii muscles to measure participants' smiling and frowning expressions. An effect of exposure time was found, in that, while no gender differences in mimicry were identified at the subliminal or borderliminal exposure times, women showed larger responses than men to happy versus aroused faces at the supraliminal exposure time.

In calorie-free of the evidence suggesting an event of testosterone on mimicry and the 'Farthermost Male Brain Theory' of autism ( Baron-Cohen, 2002 ), Hermans, van Wingen, Bos, Putman, and van Honk ( 2009 ) investigated whether autistic traits would impair an individual's ability to mimic. Level of facial mimicry was compared amongst individuals with a probable autism-spectrum disorder and controls. In line with the inclusion criteria for this review, only results of the command group are presented. Photographs depicting joy and anger were selected from 2 databases ( Ekman & Friesen, 1975a ; Lundqvist, Flykt, & Öhman, 1998 ) and shown for five s each. Similar to the above studies, facial EMG data was collected from the zygomaticus major and corrugator supercilii muscles. The researchers divers mimicry as nonconscious if it occurred within 1,500 ms of stimulus exposure. Analyses revealed that women showed significantly higher levels of facial mimicry, as measured by the corrugator supercilii muscles, than men.

Finally, Rymarczyk et al. ( 2011 ) aimed to test whether dynamic faces of joy and anger could evoke college intensity facial reactions than static faces depicting the same emotions. In accordance with the aim, this study used both photographic and video stimuli ( Beaupré & Hess, 2005 ). Facial EMG information was collected from the zygomaticus major and corrugator supercilii muscles. Participants reacted spontaneously and apace to happy faces with increased zygomaticus major activeness and decreased corrugator supercilii activity, showed greater changes in response to dynamic stimuli, but no pregnant gender furnishings were identified.

Video Stimuli

Thirteen studies used video recordings involving emotional expressions to assess nonconscious facial and behavioural mimicry. Bush, Barr, McHugo, and Lanzetta ( 1989 ) examined facial mimicry during video recordings of comedy routines. The researchers were interested in the emotional expression and affective feel of participants. Videos included a serial of 1–3 south captions of smiling or laughing audience members. Videos ranged from 160 s to 320 southward with 8–10 s of audience member shut-ups. Facial EMG activity was measured from the corrugator supercilii, zygomaticus major, and orbicularis oculi muscle regions on the left side of each participant's face. Analyses of facial mimicry information revealed no sex activity differences for any of the muscle regions.

Next, Laird et al. ( 1994 ) explored the part of mimicry and self-perception processes in emotional contagion beyond two experiments. In the first experiment, participants watched two video clips depicting a fearful state of affairs. During this part of the written report, the researchers coded the participants' bodily reactions in accordance with those in the video prune in social club to appraise behavioural mimicry. In the second experiment, participants watched three film clips of happy people. Experiment ii was designed to appraise facial mimicry. No sex differences in behavioural or facial mimicry were observed.

Estow et al. ( 2007 ) examined the role that cocky-monitoring plays in behavioural and facial mimicry. Participants were video-recorded while exposed to video clips (7 s) of people laughing, yawning, or frowning. Participants' behavioural recordings were independently coded by two experimenters. The results showed that although participants did mimic the actors' laughs, yawns, and frowns, no effect of participant sex was institute in any of the analyses.

Given the pro-social nature of mimicry, Stel et al. ( 2010 ) wanted to investigate whether a priori liking of an individual could influence mimicry of that person. Earlier participants watched a ane min video, they received background information about the individual in the video in guild to induce liking or disliking for that private. Conditions were organised into a like, dislike, or no-influence control condition. Observations were video recorded and coded for mimicry. Compared to controls, a priori liking increased mimicry while disliking showed no change. The results revealed no event of gender in whatever of the analyses.

Moody and McIntosh ( 2011 ) aimed to explore the processes involved in rapid, subtle mimicry. Participants watched short videos of smiling, scowling, stuttering, and arm wrestling. Muscle activity was recorded using EMG from the zygomaticus major, corrugator supercilii, orbicularis oris (purses or compresses lips), carpi radialis and flexor digitorum sublimis muscles of the forearm (flexes forearm). Participants were found to mimic facial expressions only. No result of gender was identified.

Acknowledging that there may be a gender divide in mimicry and emotional competence, Niedenthal et al. ( 2012 ) retrospectively investigated the impact of pacifier use on young boys' and girls' emotional development. The researchers recruited boys and girls averaging seven years of age. Each child was exposed to movies of happy facial expressions changing gradually to sad, or vice versa. Video recordings of the children's reactions were analysed independently by two coders. The results revealed that boys showed less mimicry compared to girls as a function of pacifier use.

In 2013, Stel and colleagues aimed to examination whether participants' view of the world every bit only could be influenced by facial and behavioural mimicry and imitation. Part 3 of this written report investigated participants' levels of spontaneous mimicry, thus only these results are presented. Participants were recorded watching a iii-minute video wherein a educatee spoke virtually her thesis and internship experiences while naturally moving her head, eyes, eyebrows, oral fissure, lips, hands, and shoulders. Nonconscious mimicry was defined as mirroring the stimulus movements inside five s of exposure. Mimicry was shown to influence just-globe beliefs but no effects of participant sex were institute.

Soussignan et al. ( 2013 ) aimed to test the issue of gaze direction on mimicry. Participants watched videos of avatars expressing the emotions joy, anger, sadness, and fear either directly at the participants or with a diverted gaze. Facial EMG readings were examined from four muscles: the corrugator cupercilii, zygomaticus major, lateral frontalis, and depressor anguli oris (pulls lips down). Men showed college levels of zygomatic activity in the direct every bit opposed to the averted gaze status. Gaze direction did not bear upon women'southward zygomatic activity. Still, no differences between women and men'due south happy facial mimicry was found. In the aroused condition, men showed college levels of corrugator supercilii activity when angry faces looked directly at them, and even more activeness once more when the avatar was male. Men mimicked more than women in the angry condition. In the fright condition, women reacted more men to fearful faces with averted gaze. Finally, women displayed higher depressor activity than men when exposed to sad faces.

In an endeavour to marry the stances of MMH and FFH, Schneider, Hempel, and Lynch ( 2013 ) examined the association between mimicry and facial impact sensitivity by randomising participants to 1 of 3 conditions (Suppress, Mimic, and No-Instruction). In each condition, participants viewed a series of six emotional expressions (joy, sadness, fear, anger, surprise, and disgust) as they morphed from neutral to full expression. Facial EMG readings were taken from the Zygomaticus Major, Corrugator Supercilii, and Levator Labii (retracts upper lip). In accordance with MMH and FFH, mimicry facilitated facial expression recognition, whereas mimicry suppression disrupted emotion recognition. Additionally, women were faster than men at identifying emotional expressions, particularly cloy and fear. Nevertheless, no mimicry differences were observed between men and women in the EMG analysis.

Given that many studies are using virtual stimuli, Joyal, Jacob, Cigna, Guay, and Renaud ( 2014 ) aimed to test the validity of a set up of virtual faces expressing half dozen emotions (happiness, surprise, anger, sadness, fearfulness, and disgust). Participants watched video clips depicting real vs. virtual adults expressing emotions. Facial EMG activity was monitored via the Zygotmaticus Major and the Corrugator Supercilii muscles. Similar levels of activation were observed for real and virtual faces; however, no sex differences were identified.

Korb, With, Niedenthal, Kaiser, and Grandjean ( 2014 ) investigated how people perceive dissimilar types of smiles and judge their actuality. Participants observed brusk videos of smiles while their facial mimicry was measured with EMG over four facial muscle regions: Corrugator Supercilii, Orbicularis Oculi, Zygomaticus Major, and Masseter (drops jaw). Smile authenticity was judged afterwards each trial. Mimicry enhanced actuality ratings. Results were similar for males and females with the exception of less AU6 activity and more than AU12 activity in males, this indicates that women may show more Duchenne smiles than men.

More recently, Rauchbauer, Majdandžić, Hummer, Windischberger, and Lamm ( 2015 ) aimed to investigate whether and how mimicry is modulated by social-affective variables. Participants watched videos of finger movements accompanied by facial expressions above the hand stimulus. They were instructed to lift i finger one time they could see the number 1 and another when they could come across the number ii. Videos of finger movements were coinciding or incongruent to the asking. This study was designed to assess behavioural mimicry of finger motion. Mimicry was assessed by examining differences between reaction times in incongruent and congruent trials for each status. Data was analysed using Functional magnetic resonance imaging (fMRI). Results were better overall in coinciding trials; yet, men and women did not differ on level of mimicry.

Lastly and most recently, Cheung, Slotter, and Gardner ( 2015 ) investigated the interpersonal functions of facial mimicry after social exclusion. Participants played an online game called cyberball in which they were included or excluded by 'other' players and were, thereafter, required to watch a 2 min emotional video prune. In this study, facial mimicry was defined as the similarity of valence and intensity of emotional expressions between interaction partners. Video recordings of the participants were coded for facial expressiveness. Participants did mimic more in the excluded condition; however, no main effects or moderation past gender was identified.

Interaction Partners

Nine studies assessed participants' mimicry level while conversing with some other person. The earliest of which was conducted by Chartrand and Bargh ( 1999 ). The aim of this study was to test whether participants would automatically mirror the behaviour of their interaction partner, and whether the interaction partner'south mimicry could influence level of liking and empathy between the partners. Participants took part in 10 min video-recorded interactions in which their task was to describe photographs. Four confederates were trained to use specific behaviours during the interactions such equally face rubbing, human foot shaking, and changing facial expressions. Interactions were video-recorded and coded for analyses. Women and men as mimicked smiles more when the confederate smiled, shook their anxiety more when with the foot-shaking confederate, and touched their faces more when with the face-touching confederate.

The side by side study using interaction partners was conducted by van Baaren, Maddux, Chartrand, de Bouter, and van Knippenberg ( 2003 ). Participants were required to interact with a confederate while taking role in a scrambled judgement task, during which the confederate picked up and put down a pen several times. All interactions were video-recorded and later on coded to assess level of behavioural mimicry. Mimicry of pen-playing did occur: withal, no pregnant effects of gender were found. The researchers noted that they expected to find gender differences just believe that significance was non reached as they did not have sufficient statistical power to examination such a model.

Mimicry has long been thought to play a function in seduction ( Wodak, 1989 ); therefore, Karremans and Verwijmeren ( 2008 ) were interested in the role that participants' human relationship status has on their level of mimicry when conversing with attractive opposite-sexual activity others. Participants with differing relationship statuses were interviewed for iv minutes by an attractive confederate who would regularly touch his/her face up. All interactions were recorded and behavioural mimicry (face up touching) was coded past two independent raters. The results revealed that women tended to mimic their interaction partners more men. In that location was no interaction of sex and relationship condition, meaning, the sexual practice differences observed in mimicry were not discipline to relationship status differences.

van Straaten, Engels, Finkenauer, and Holland ( 2008 ) were also interested in the connection betwixt mimicry and romantic relationships. More specifically, the researchers investigated sex differences in short-term mate preference and behavioural mimicry (nonconscious mimicry of gestures, bodily movements, and behaviours) co-ordinate to social condition and level of attractiveness. A naturalistic social surroundings was created by designing a laboratory in the form of a pub. Similar to the above study, the researchers paired participants with a amalgamated of the opposite sex. Confederates were divided by the researchers into depression and high perceived attractiveness, and were provided with embrace job titles reflecting loftier or low social status. Each pair's interactions were video-recorded while watching xx min of commercials. All confederates were instructed to behave naturally, make eye contact with the participant, and engage in frequent pen-playing movements. Nonconscious mimicry was divers as occurring within 10 s subsequently stimulus exposure. Unfortunately, van Straaten et al. ( 2008 ) did not conduct a sexual practice analysis on frequency of mimicry. However, they did written report the mean scores for males and females separately on level of mimicked pen playing and postural shifting. These scores indicate that men mimicked the pen-playing of their confederates more than then than women, merely women mimicked the postural shifts of their confederates more so than men. Although there appear to be sex differences, an interaction betwixt participant sex activity and mimicry condition was found, in that, women were more likely to mimic the pen-playing behaviour of their interaction partner if their partner'due south perceived social condition was higher. Similarly, men were more probable to mimic the postural movements of their interaction partners if their partners were perceived as highly bonny.

Given the importance of social context in human mimicry, Hess and Bourgeois ( 2010 ) investigated how emotional and social context may differentially bear upon male person and females level of mimicry. Hess and Bourgeois ( 2010 ) conducted 2 experiments, the first with same-sexual practice pairs and a 2d with opposite-sex pairs. Each pair played an emotional card-based story-telling game. In addition to video recordings, facial muscle activity was measured on the left side of the face, using data from the Orbicularis Oculi, Zygomaticus Major, Corrugator Supercilii, and Levator Labii Aleaque Nasii muscles. Interactions lasted on average 183 s. The results of "experiment one" revealed that women tended to smile more than men, men mimicked less in angry compared to happy emotional weather condition, and women were not affected by context. The researchers then conducted the same study with reverse-sex pairs. "Experiment ii" interactions lasted on average 185 s. Over again, the results revealed that men's mimicry of smiles was subject to emotional context, in that, men showed less mimicry of opposite sex interaction partners during aroused compared to happy narratives, whereas women mimicked to the same extent in both weather. Results in experiment two, i.due east. opposite-sexual practice pairs, were generally weaker than experiment one, i.due east. same-sex pairs.

Having noticed a gap in the literature on mimicry, Kulesza, Dolinski, Huisman, and Majewski ( 2014 ) aimed to: 1) examine and define verbal mimicry, and 2) examine the link between verbal mimicry and prosocial behaviours. This study was set in a currency exchange office. Participants were randomly assigned to i of 5 conditions (three experimental and two control groups) differentiated by the cashier's verbal responses. Verbal recordings provided evidence of verbal mimicry and its importance in the creation of positive verbal interactions, withal, no gender differences were identified.

Rueff-Lopes, Navarro, Caetano, and Silva ( 2015 ) also investigated verbal mimicry. The aim was to explore the occurrence of vocal mimicry in a natural setting. In a private room at an inbound call centre, ii trained researchers listened randomly to 967 live phone calls between customers and employees. Negative vocal mimicry was the mimicry of negative emotion between caller and receiver. Positive vocal mimicry was the mimicry of positive emotion between caller and receiver. The results of their analyses showed that males showed increased levels of negative song mimicry compared to females, while females showed increased levels of positive vocal mimicry when compared to males.

Bringing the inquiry on exact mimicry more closely in line with that of facial and behavioural, Kurzius ( 2015 ) evaluated whether and how personality is related to verbal mimicry. Participants interacted with two confederates who differed in speech communication rate (slow, fast). Mimicry was measured via a participant's adaptation to the amalgamated's speech rate. Spoken communication rates in each condition were measured as words uttered per minute of speaking. Extraversion and openness significantly predicted oral communication rate adjustment; however, no effect of gender was found.

Keeping with a focus on personality, Kurzius and Borkenau ( 2015 ) aimed to explore the antecedents and consequences of mimicry and its association with personality in a natural setting. Participants were required to engage in a randomly paired role-play chore. Mimicry was divers using a 10 s time interval. From the analyses of coded video recordings, information technology was identified that neuroticism, extraversion, and dominance enhanced mimicry of negative behaviours, while affiliation and agreeableness enhanced mimicry of positive behaviours. The researchers identified no event of gender on facial or behavioural mimicry.

Give-and-take

The results of the current review are inconclusive. While 11 studies showed some difference between male person and female mimicry behaviour, 19 studies reported no such differences. Thus, information technology appears that the question of whether or non in that location are male and female differences in mimicry behaviour remains unsettled. Even so, it must be asked why some studies find an issue of participant sex or gender and non others?

Sexual activity or Gender?

Interestingly, few studies reported how they measured participant sex or gender. It is not clear whether participants were categorised according to the researchers judgement, or whether sex or gender was cocky-reported. Further, almost articles used both terms interchangeably, for example, reporting on opposite-sex activity pairs but conducting a gender analysis. It is only in reading the article entirely that it becomes clear that the majority of the studies were in fact discussing gender, and the potential impact of gender socialisation equally opposed to biological sex activity. For this reason, when discussing the findings of these articles, the term gender will exist used as opposed to sex.

Measuring Mimicry

The measurement of mimicry often involves paying attention to subtle micro-expressions or movements; add to that the ability to place differences between males and females and it becomes clear that very precise measurements are needed ( Chartrand & Bargh, 1999 ; Sonnby-Borgström, 2002 ). From this review, information technology can exist identified that the main deviation between studies that found gender differences and those that did not is whether or not they used observational coding. Of the 30 reviewed manufactures, 47% of those using facial EMG found some outcome of gender, whereas but 29% of those using observational coding found an effect of gender. While observational methods are more than appropriate for natural or semi-naturalistic settings, when aiming to investigate subtle differences between groups, laboratory settings and facial EMG are preferable.

Stimulus Exposure Length

However, within facial EMG studies there were also variations in the methodology of studies reporting an result of gender and studies that did not. In relation to what each article defines as mimicry, fourth dimension limits varied considerably and these fourth dimension limits appear to be relevant for the identification of gender differences. For instance, Sonnby-Borgström ( 2002 ) first identified gender differences in facial mimicry at the automatic level between 17 ms and 30/40 ms; even so, in a later more thorough, gender-specific investigation, Sonnby-Borgström et al. ( 2008 ) revised this time frame having only demonstrated gender differences (in favour of females) at the supraliminal level (2,500 ms). A subsequently study past Hermans et al. ( 2009 ) employed a mimicry time limit of 1,500 ms and also found significant differences in favour of females. Yet, when the time increases farther to 3 south ( Moody & McIntosh, 2011 ) or 8 s ( Vrana & Gross, 2004 ) in that location no longer seem to exist significant gender differences in facial mimicry.

Studies on facial emotion recognition accept also shown interesting gender differences. For case, Palermo and Coltheart ( 2004 ) showed that, between 500 ms and 2,500 ms, in that location are no gender differences in speed of emotion recognition; all the same, females perform ameliorate than males on recognition accuracy. From these findings, it can be proposed that between Sonnby-Borgström et al'southward. ( 2008 ) borderliminal and supraliminal time limits, females may appear to mimic more than as their perception of emotion is more accurate than males at this time indicate. Studies using facial EMG data to assess facial mimicry practice and then by investigating the caste of overlap between the facial expression presented and the expected muscle action for that particular expression. Thus, it may be argued that accuracy in facial recognition may account for male and female differences in facial mimicry, depending upon stimulus exposure lengths.

Social Context

Returning to the observational studies, given the importance of social context for gendered social behaviour, it stands to reason that the social context in which mimicry occurs should be important for the examination of male and female differences. Interestingly, van Straaten et al. ( 2008 ) found that for men, more and so than women, level of mimicry was affected by the attractiveness of the interaction partner, in that, men were more than probable to mimic their interaction partner if their partner was considered highly attractive. In addition, gender differences were as well found to depend on social condition, in that, women were more than likely to mimic interaction partners of higher perceived social status than lower. These findings may reflect societal stereotypes of men and women such as the need for men to announced charming and lascivious, and women to exist submissive ( Prentice & Carranza, 2002 ).

Alternatively, evolutionary perspectives on mimicry provide some clarification equally to why attractiveness and social standing may influence mimicry. It is suggested that mimicry played an of import part in homo evolution and may have had survival value past assisting human communication and reproduction. Mimicry increases affiliation, fostering positive social relationships with others ( de Waal, 2008 ). According to evolutionary theory, stable social relationships with shut individuals were important for the well-beingness and reproductive success of males, as well every bit for the protection of females and children ( Kenrick, Sadalla, Groth, & Trost, 1990 ). Therefore, the increased tendency for males to mimic more bonny individuals may be a function of male person evolutionary behaviour involving the use of mimicry in potential reproductive relationships. Also, the tendency for women to mimic males with higher social condition may exist linked to the evolutionary benefit for women to connect with males equipped to provide for a family unit ( Kenrick et al., 1990 ).

Cultural Differences

Returning to the findings of Safdar et al. ( 2009 ), it was expected that regardless of where the studies were conducted, in that location should be differences between males and females in relation to the display and mimicry of 'soft' and 'potent' emotions. Interestingly, of the studies that found gender differences, 5 studies reported that females were more likely than males to mimic blithesome expressions, and males were more likely than females to mimic angry expressions ( Hess & Bourgeois, 2010 ; Lundqvist & Dimberg, 1995 ; Rueff-Lopes et al., 2015 ; Sonnby-Borgström et al., 2008 ; Soussignan et al., 2013 ). While these results seem to support Safdar and colleague's ( 2009 ) hypotheses, all reviewed studies were conducted in developed countries, therefore, more cross-cultural data is needed in order to clarify the function of civilisation in gendered mimicry.

Stimulus Blazon

Given that previous studies accept shown that the dynamism and perceived authenticity of the stimulus blazon tin can accept an impact on mimicry behaviour, it was expected that this may take been a discriminating gene between studies that did and did not study gender differences ( Krumhuber & Kappas, 2005 ). Still, on the whole this does not appear to be the case, and more specifically, Rymarczyk et al. ( 2011 ) did not observe whatever effect of gender when testing both static and dynamic stimuli. Nevertheless, Hess and Bourgeois ( 2010 ) identified that women tend to mimic smiles regardless of whether or not the smiles were genuine or forced, whereas men mimicked smiles to a lesser extent when the experimental condition involved college levels of forced as opposed to 18-carat smiles. Unfortunately, no study straight tested the hypothesis that males and females may perceive the authenticity of stimuli differently and its relation to stimuli dynamism, thus, further investigation is warranted.

Conclusions

To conclude, few studies of nonconscious mimicry have shown to use mixed gender samples, of which even fewer have conducted gender analyses. Despite knowing a considerable amount regarding the biological sex differences and elements of gender socialisation that may have an touch on on mimicry, few of these findings have been considered by the current mimicry literature. Furthermore, methodological disparities and a lack of precision in the definition of mimicry limit the corporeality of confidence that can be placed in the findings of the reviewed studies. In consideration of these points, the results of the current review propose that gender differences may or may non be observed in human mimicry depending upon, amongst others, the blazon of mimicry measurement used, stimulus exposure length, and social context. Research on nonconscious mimicry has adult significantly since Lipps proposition in 1907, yet, while much of the inquiry has furthered our cognition regarding the general social function of mimicry, the applicability of these research findings to both males and females is equally yet unclear.

Although nosotros cannot nevertheless discern the part of sex in human mimicry, the electric current prove base is lacking equally a result of the failure to include sex activity or gender differences in report designs and analyses. The potential reporting bias created by either excluding a gender analysis or using female samples only maintains a situation where current inquiry guidelines based on the written report of 1 gender are generalized and applied to both. For instance, 1 example involves the finding that social context and exposure length differentially influence male and female mimicry; this finding requires a more gender specific study design in order to avoid but measuring gender differences.

To conclude, future research investigating nonconscious mimicry should aim to recruit male person and female person participants, critically evaluate the ceremoniousness of observational and facial EMG measurements for their study design, utilize different stimulus presentation times, report on the social context of the written report and study participants, and include cross-cultural comparisons.

Disharmonize of Interests Argument

I, Christine Marie Lehane, certify that I accept no affiliation with or involvement in any arrangement or entity with whatever financial interest or non-fiscal involvement in the subject area matter or materials discussed in this manuscript.

Competing Interests

The author declares that they take no competing interests.