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Le bâillement : de l'éthologie à la médecine clinique
Le bâillement : phylogenèse, éthologie, nosogénie
 Le bâillement : un comportement universel
La parakinésie brachiale oscitante
Yawning: its cycle, its role
Warum gähnen wir ?
 
Fetal yawning assessed by 3D and 4D sonography
Le bâillement foetal
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mise à jour du
16 mars 2025
Human Nature
2025 March 13
Is it a Match?
Yawn Contagion and Smile Mimicry in Toddlers
Ivan Norscia, Marta Caselli, Chiara Scianna,
Sara Morone, Martina Brescini, Giada Cordoni  
 
 Department of Life Sciences and Systems Biology, University of Torino

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 Tous les articles sur la contagion du bâillement
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Abstract
Automatic behavioral matching includes Rapid Facial Mimicry (RFM) and Yawn Contagion (YC) that occur when the facial expression of an individual acts as a 'mirror social releaser' and induces the same facial expression in the observer (within 1 s for RFM, and minutes for YC). Motor replication has been linked to coordination and emotional contagion, a basic form of empathy. The authors investigated the presence and modulating factors of Rapid Smile Mimicry (RSM) and YC in infants/toddlers from 10 to 36 months at the nursery 'Melis' (Turin, Italy). In February-May 2022, they gathered audio and/or video of all occurrences data on affiliative behaviors, smiling during play, and yawning during everyday activities. Both RSM and YC were present, as toddlers were most likely to smile (within 1 s) or yawn (within three-min) after perceiving a smile/yawn from another toddler. Sex, age, and parents' country of origin did not influence RSM and YC occurrence, probably because gonadal maturation was long to come, the age range was skewed towards the early developmental phase, and toddlers had been in the same social group for months. RSM and YC showed social modulation, thus possibly implying more than just motor resonance. Both phenomena were inversely related to affiliation levels (a social bond proxy). Because literature reports that in adults RSM and YC may increase with familiarity, our reversed result suggests that in certain toddler cohorts the same phenomena may help increase socio-emotional coordination and that the function of motoric resonance may be experience- and context-dependent.
 
Résumé
L'appariement comportemental automatique comprend le mimétisme facial rapide (RFM) et la contagion du bâillement (YC) qui se produisent lorsque l'expression faciale d'un individu agit comme un « miroir social » et induit la même expression faciale chez l'observateur (dans un délai d'une seconde pour le RFM, et de quelques minutes pour le YC). La réplication motrice a été associée à la coordination et à la contagion émotionnelle, une forme fondamentale d'empathie. Les auteurs ont étudié la présence et les facteurs modulateurs de la mimique rapide du sourire (RFM) et de la YC chez les nourrissons et les tout-petits âgés de 10 à 36 mois à la crèche « Melis » (Turin, Italie). Entre février et mai 2022, ils ont recueilli des données audio et/ou vidéo sur toutes les occurrences de comportements affiliatifs, de sourires pendant le jeu et de bâillements pendant les activités quotidiennes. Le RSM et le YC étaient tous deux présents, car les tout-petits étaient plus susceptibles de sourire (dans un délai d'une seconde) ou de bâiller (dans un délai de trois minutes) après avoir perçu un sourire/un bâillement d'un autre tout-petit. Le sexe, l'âge et le pays d'origine des parents n'ont pas eu d'influence sur l'apparition de RSM et de YC, probablement parce que la maturation gonadique était décalée, que la tranche d'âge était biaisée en faveur de la phase de développement précoce et que les tout-petits avaient été dans le même groupe social pendant des mois. Le RSM et le YC ont montré une modulation sociale, ce qui implique peut-être plus qu'une simple résonance motrice. Les deux phénomènes étaient inversement liés aux niveaux d'affiliation (une approximation du lien social).
 
Introduction
Behavioral matching is a form of motor replication that takes place when an observed behavior induces the observer to repeat it (Gallese, 2004; Schütz-Bos- bach & Prinz, 2015; Zentall, 2003). Behavioral matching can occur at diGerent cognitive levels ranging from automatically mirroring others' motor patterns to 'copying' phenomena that require high-level cognitive appraisal (e.g., true imi- tation, emulation; Zentall, 2012). Depending on cognitive complexity and self- other distinction abilities, behavioral matching can have diGerent social repercus- sions, such as emotional transfer, social learning facilitation, and promotion of social relations by fostering amliation and cooperation (Berthier & Semple, 2018; Canteloup et al., 2020; de Waal & Preston, 2017; Panksepp & Panksepp, 2013; Paukner et al., 2009).
The most basic level of behavioral matching is automatic motor replication, a broad umbrella concept that includes motor mimicry and behavioral contagion (Palagi et al., 2020), because both can be mediated by the Perception&endash;Action Model (PAM) and the Mirror Neuron System (MNS; de Waal & Preston, 2017; Rizzolatti & Caruana, 2017). According to PAM and MNS, for both phenom- ena the observation of the motor pattern activates in the observer the same motor neurons as in the individual performing such a pattern, with the focus being on the goal more than on the action (MNS; Rizzolatti & Caruana, 2017; Rizzolatti & Fabbri-Destro, 2010; Schütz-Bosbach & Prinz, 2015) and with the observer's response being shaped by their own experience (PAM; Preston & de Waal, 2017). However, motor mimicry diGers from behavioral contagion because the former involves the observer repeating others' motor patterns within a short time win- dow (within 1 s or a few seconds), whereas the latter involves the observer rep- licating the behavior but not necessarily the exact actions of others over longer time windows (ranging from less than 1 s to several minutes; Palagi et al., 2020; Prochazkova & Kret, 2017; Wheeler, 1966; Zentall, 2003). Depending on the behavior being considered, behavioral contagion can also involve a physiological component, which may account for the delayed response often observed in con- tagion compared to pure mimicry (Prochazkova & Kret, 2017). In both cases, the behavioral pattern performed by an individual and perceived by another individ- ual (via vision or other sensory cues) works as a 'social releaser' (sensu Tinber- gen, 1951). According to Konrad (1935), social relations are dependent on a wide array of stimuli emitted by one individual (the "actor") that release responses in another individual (the "reactor"). Based on this, Tinbergen (1948, 1951) showed that innate social responses are dependent on the display of releasers and better defined the social dimensions of releasers. In the case of automatic motor repli- cation, others' motor patterns not only act as social releasers (sensu Tinbergen, 1951) but generate in the perceiver a specific 'mirror response'. Motor mimicry and contagion can occur with diGerent 'mirror social releasers', as we may define them, and translate the motor pattern from the individual to the social level.
 
A form of motor mimicry is Rapid Facial Mimicry (RFM), where the facial expression displayed by an individual (e.g., smile in Rapid Smile Mimicry, RSM) induces the observer to reproduce the same expression within 1 s (de Waal & Preston, 2017; Iacoboni, 2009; Palagi et al., 2020; Schütz-Bosbach & Prinz, 2015; Zentall, 2003). A form of behavioral contagion is yawn contagion, which occurs when a perceived yawn triggers a yawning response in the perceiver (Pro- vine, 1989a, 1989b). Such a response can be within 1 s, a few seconds, or even minutes from the exposure to the yawning stimulus (Palagi et al., 2020; Provine, 2005). The relevance of investigating facial mimicry and yawn contagion is that they may be related to emotional contagion, an automatic and implicit form of empathy (Preston & de Waal, 2002, 2017). It has been hypothesized that auto- matic motor replication via facial mimicry and yawn contagion may have func- tioned as an exaptation for emotional contagion (Hess & Fischer, 2013; Palagi et al., 2020). By observing the facial expression of another person, the observer may activate not only the motor neurons connected with the expression but also shared representations of the emotion that such expression conveys (de Waal & Preston, 2017).
 
In infants and toddlers, smiling is considered the expression of positive emotions (Messinger et al., 2008). Smiles can involve a wide combination of diGerent facial unit movements, but four main types may be recognized based on mouth open- ing and eye-constriction: simple/basic smile (mouth closed/no eye constriction), play smile (mouth open, no eye constriction), Duchenne smile (mouth closed/eye constriction), and duplay smile (mouth open/eye constriction; Fogel et al., 2006; Messinger et al., 2008). Although play smiles are the most common during play (as the name indicates), the other types of smiles can be variably present during this behavior (Dickson et al., 1997; Fogel et al., 2006). Hence, social play is one of the most suitable behaviors to consider when investigating facial mimicry, as play ses- sions are visually punctuated by smiles.
 
Rapid facial mimicry of playful facial expressions may be biologically ancient as it has been observed in humans (Seibt et al., 2015), other hominids (orangutans&emdash; Pongo pygmaeur: Davila-Ross et al., 2008; chimpanzees &endash; Pan troglodyter&emdash;and gorillas &endash; Gorilla gorilla: Palagi et al., 2019; bonobos &endash; Pan panircur: Bertini et al., 2022), and other animal species (spanning monkeys, rodents and carnivores; Pal- agi et al., 2020), where they are termed 'play faces' or 'relaxed-open mouth'. This observation suggests deep mammalian roots of the phenomenon. Automatic facial expression replication (not necessarily related to true imitation), including smile, is observed since the first phases of life in human infants (but also non-human pri- mates; Ferrari et al., 2006; Jones, 2009; Wörmann et al., 2014). Automatic facial mimicry in humans appears to be present as early as 5 months of age, when mul- timodal emotional stimuli are elaborated (Isomura & Nakano, 2016). Smile mim- icry has been described in adult humans as well (e.g., Mui et al., 2018; Seibt et al., 2015). Individual and social factors may influence facial mimicry, such as age, sex, group membership, and social bond (Seibt et al., 2015). Facial emotion recogni- tion skills change with age (e.g., in relation to sensitivity to diGerent emotions or increase of finely tuned discrimination abilities) and as early as in the first two years of life cognitive and mimicking abilities of toddlers increase in variety, latency, and complexity (Grossman et al., 2007; Hühnel et al., 2014; Jones, 2009; Lawrence et al., 2015). Hence, this can potentially aGect the extent to which facial mimicry is expressed&emdash;as age increases&emdash;during naturally occurring social interactions. Moreo- ver, human females show possibly more precise and/or effective processing of emo- tional facial expressions and increased facial mimicry than men, as a result of pos- sible inter-sex diGerences in the smile facial mimicry neural network (Dimberg & Lundquist, 1990; Hall, 1978; Hall & Matsumoto, 2004; HoGmann et al., 2010; Korb et al., 2015). Additionally, group membership&emdash;including country of origin and eth- nicity&emdash;can influence the amount of mimicry response to others' facial expressions (also according to type, e.g., happy vr angry) in young children and adults (de Klerk et al., 2019; Rauchbauer et al., 2016; Seibt et al., 2015). Finally, facial mimicry can be influenced by diGerent social setting variables, including the social relationship between interactants. Although few studies have investigated this aspect, facial mim- icry&emdash;including smile mimicry&emdash;may increase when the social bond is tight (Fis- cher et al., 2012; Häfner & Ijzerman, 2011).
 
Although understudied, a modulation of individual factors on the rapid facial mimicry of the play face has been observed in non-human primates, including homi- nid species (e.g., sex combination of interactants, lowland gorillas: Bresciani et al., 2022; age, orangutans: Davila-Ross et al., 2008). Moreover, a positive influence of the social relationship on play face facial mimicry rates has been found in non- human mammals, such as dogs (Palagi et al., 2015). Thus, the modulation of rapid facial mimicry of smile may be rooted in mammalian evolution and vary depending on species biology.
 
Contrary to smile, yawning can be associated with physiological transitions (e.g., from sleep to wake) and also neffative internal states, such as boredom, tiredness, or mild stress (Guggisberg et al., 2010; Thompson, 2014; Zilli et al., 2007). The yawn- ing-like motor pattern is likely a plesiomorphic display as it has been described in a wide range of vertebrates, including non-human primates (Anderson, 2020; Baen- ninger, 1997). Besides humans (Provine, 1989a, 1989b), yawn contagion has been reported in a variety of animal species (mammals, for review: Palagi et al., 2020; bird: Meloprittacur undulatur; Gallup et al., 2015), including hominids (e.g., oran- gutans: van Berlo et al., 2020; chimpanzees: Anderson et al., 2004; bonobo: Demuru & Palagi, 2012; but not gorillas: Palagi et al., 2019). Thus, yawn contagion, as facial mimicry, might stem from ancient evolutionary foundations, although the variation in the reported expression of the phenomenon may relate to species-specific social features more than to phylogeny, and/or to sample limitations (Palagi et al., 2020; van Berlo et al., 2020).
 
As facial mimicry, in humans also yawn contagion can be aGected by individ- ual and social factors. The influence of sex on yawn contagion rates is still under debate as it was found in certain cohorts of adult humans (with females showing more contagion, e.g., Chan & Tseng, 2017; Norscia et al., 2016) but not in others (e.g., Bartholomew & Cirulli, 2014; Norscia & Palagi, 2011), with cultural features possibly enhancing variability (Palagi et al., 2020). No sex effect on yawn contagion was found in children from 2.5 to 5.5 years old (Cordoni et al., 2021). Contrary to sex, age is a critical variable influencing yawn contagion. As a matter of fact, yawn contagion increases during ontogenetic development, with children by the age of 10&endash;11 years showing contagion levels similar to adults (Anderson & Meno, 2003). Previous reports that used yawn video stimuli found that infants and toddlers (6 to 34 months old) did not respond to their mothers' yawns from 6 to 34 months old (Miller and Anderson, 2011) or others' yawns up to 5 years old (Anderson & Meno, 2003). Helt et al. (2010)&emdash;by exposing children to real yawns emitted by a live, adult subject&emdash;found that yawn contagion increased with age from 1 to 5&endash;6 years old, being virtually absent between 1 and 2 years of age (0&endash;5% of toddlers show- ing a yawn response at least in one trial) and still infrequent by the age of 3 (10% of toddlers responding). An increase to 35&endash;40% was observed in children from 4 to 5&endash;6 years old. However, no analysis is available on the presence or absence of the phenomenon at the group level for diGerent age classes. A study investigating yawn contagion in a naturalistic social setting, during children's everyday activities in a nursery, found that yawn contagion was already present at 2.5 years of age (Cordoni et al., 2021). The study did not investigate the possible presence of yawn contagion before that age as younger toddlers were not present in the sample. Finally, litera- ture on adults shows that country of origin diGerences may not aGect yawn conta- gion whereas stronger social relationships between individuals increase yawn con- tagion probability in certain human cohorts (Norscia & Palagi, 2011; Norscia et al., 2020, 2021). Although this aspect is not known in children, such an effect cannot be excluded during the first phases of ontogeny, as the intersubjective ability to diGer- ently respond to others' emotional expressions depending on familiarity appear early in infant development (Walker-Andrews et al., 2011).
 
The effect of individual (i.e., sex and age) and social factors (i.e., group member- ship and/or familiarity) in modulating the expression of yawn contagion may also be biologically rooted in human evolutionary history, as they can variably aGect yawn contagion in non-human animals, including non-human hominins (chimpanzees and bonobos; e.g. Campbell & de Waal, 2011; Demuru & Palagi, 2012; Madsen et al., 2013; Massen et al., 2012; Norscia et al., 2022). In particular, social modulation may indicate that yawn contagion is not merely a phenomenon of motoric resonance (in which case it would be equally distributed across dyads) but that it may underlie an emotional transfer component (Norscia et al., 2021; Palagi et al., 2020; but see: Massen & Gallup, 2017).
 
In this study, we report for the first time on the presence and modulating factors of rapid facial mimicry and yawn contagion, as a possible proxy of emotional conta- gion, in early and late toddlers (from 10- to 36-month-old), mostly below 2.5 years of age. Based on the above framework, we put forth the following predictions.
 
Discussion
Our results indicate that motor replication can be present in toddlers for both Rapid Smile Mimicry (RSM; Prediction 1a supported) and Yawn Contagion (YC; Predic- tion 2a supported). EFFect sizes (Table 2 and 3) are not large but correspond to odds ratios (1.30&endash;1.65) that are practically significant. The presence of RSM and YC in young toddlers is consistent with previous reports indicating that facial mimicry in humans appears in the first months of age (Ferrari et al., 2013; Isomura & Nakano, 2016). The emergence of motor replication in pre-verbal toddlers aligns with the observation that rapid facial mimicry and yawn contagion are rooted in human biol- ogy and anchored to the non-verbal domain, as they are also found in non-human mammals, including primates and particularly hominids (e.g. Anderson et al., 2020; Davila-Ross et al., 2008; Demuru & Palagi, 2012; Norscia et al., 2022; Palagi et al., 2019; Palagi et al., 2020; van Berlo et al., 2020; but see Palagi et al., 2019). Facial expressions can convey emotional cues and the ability to gain emotional informa- tion from others' bodily and facial movements is primordial to survival (Heck et al., 2018). Indeed, emotion detection (for neffative and positive emotions) involves a neural network that includes evolutionarily conserved brain areas such as the amyg- daloid complex, in humans, non-human primates and other animals (Ferretti & Papaleo, 2019; Pabba, 2013). Motor resonance and the possibly related emotional sharing (a foundation of empathy) are drivers of prosocial behaviors in humans and other animals (Decety et al., 2016). Indeed, children that are better able to spot and share the expressions of their peers can be more prosocially responsive to their peers (Denham et al., 2003). In humans and other hominids, coordination of behaviors and internal states allows social interactions to successfully continue at the dyadic level and the achievement of collective goals at the group level (Nowak et al., 2017; Pal- agi et al., 2020; Parr et al., 2005). Focusing more specifically on yawn contagion, its presence also below two years indicates that this type of motor resonance emerges earlier in human development than previously described. Cordoni et al. (2021) pointed out that the naturalistic setting, and exposure to spontaneous, real yawns (rather video or faked stimuli) from peers belonging to the same group (rather than adults and/or unfamiliar subjects) allows the early detection of motor resonance. Such conditions may indeed increase signal effectiveness, reduce response inhibi- tion and/or enhance the motoric response.
 
As concerns the modulating factor of rapid facial mimicry and yawn contagion, for neither phenomenon we found an effect of sex (as expected; Prediction 1c and 2c, for RSM and YC respectively, supported), age (contrary to expectations; Predic- tion 1b and 1c for RSM and YC respectively, not supported), and parents' country of origin (the predictions diverged for RSM and YC, with an effect expected only for RSM; Prediction 1d on RSM not supported; Prediction 2d on YC supported). Reffarding age, it is possible that the short age span of our toddlers&emdash;with age increasing by the month&emdash;has dampened the effect of age-related variations. It is also possible that in the early ontogenetic stages covered by this study, such varia- tion has not yet emerged. Indeed, important changes in replication modulation abili- ties may emerge in toddlers at later stages and, for example for yawn contagion, a conspicuous increase probably starts occurring after 5 years of age (Anderson & Meno, 2003; Cordoni et al., 2021; Helt et al., 2010; Jones, 2009).
 
Reffarding the geographical origin, the lack of an appreciable effect on both RSM and YC may be because the toddlers were born in the same country (although some of the parents had immigrated from abroad), they knew each other since at least 4&endash;5 months, and belonged to the same class, hence to the same social group. Although an ethnic bias in facial recognition may exist and decrease with age, there is evidence that overall visual attention may not diGer as a function of ethnicity, that happy faces are better identified across ethnic groups and that humans from diGer- ent ethnic background can overcome such bias when they live together for a period of time (Kawakami et al., 2014; Michel et al., 2006; Seffal et al., 2019). Reffarding sex, the early stage of developments&emdash;far from gonadal maturation and related mor- phophysiological changes&emdash;may account for the lack of sex diGerences, which are instead observed later in life for facial mimicry (e.g., Dimberg & Lundquist, 1990) and yawn contagion (e.g., Chan & Tseng, 2017) at least in certain human cohorts. This is also consistent with the lack of sex effect on yawn contagion in children from 2.5 to 5.5 years old (Cordoni et al., 2021). It is interesting to notice, however, that in the control model on the individual factors modulating yawning (to be considered in this case as spontaneous as untriggered by previous yawns from others), the yawner sex had a significant effect, with males yawning more than females. Similarly, Cor- doni et al. (2021) found that male children yawned more than female children under naturalistic conditions, possibly due to androgens, which are known to increase yawning in mammals (Cordoni et al., 2021; Graves & Wallen, 2006; Homgren et al.,
1980; Melis et al., 1994; Rodriguez-Sierra et al., 1981) and can already have an effect in perinatal phases (Alexander, 2014; Vigil et al., 2016). The increased yawn levels in males may also be linked to stress-induced aggression and higher cortisol levels (Cordoni et al., 2021; Thompson, 2014), as male infants can be more easily aroused by stressors under certain conditions (Richardson et al., 2010). Further stud- ies are needed to investigate this, as sex effects on spontaneous yawning in infants may vary with external stimuli (e.g., Menin et al., 2022 found increased yawning in infant females). It is essential to replicate this study across various toddler cohorts to see if the observed lack of RSM and YC modulation in relation to individual factors holds true at the population level for the age span considered here, or if variations may emerge based on age, sex, and geographic origin composition.
 
Finally, the amliation level (a proxy for social bond) had an effect on both RSM and YC. EFFect sizes (Table 2 and 3) are good and correspond to odds ratios that are practically significant (1.51&endash;1.97). Our result is in line with the observation that the ability to diGerently respond to others' emotional expressions depending on the level of attachment (i.e., familiarity) appears early in the development of infant (Walker- Andrews et al., 2011), along with the ability to distinguish emotional facial expres- sions emerges (5&endash;7 months of age; Cruz et al., 2023; Flom & Bahrick, 2007). How- ever, the most intriguing result is that the observed effect of amliation levels was not in the expected direction (Prediction 1e and 2e for RSM and YC respectively, not supported). While in certain cohorts of human adults both RFM and YC can increase when the social bond is tighter (e.g., Fischer et al., 2012; Häfner & Ijzer- man, 2011; Norscia & Palagi, 2011), in our toddler cohort we observed an oppo- site effect. Specifically, RSM and YC were highest between toddlers sharing least amliation. The social asymmetry in the levels of RSM and YC across dyads may indicate that they do not merely involve motoric resonance and that internal states may be also involved, depending on the experience that is shared with them (as pre- dicted by the Perception&endash;Action Model, de Waal & Preston, 2017). When the rela- tion between motor resonance and social bond is positive (the former increases as the latter increase), it has been hypothesized that motoric resonance may be cou- pled with a basic form of empathy, as the positive association mirrors the so-called 'empathic trend' (Palagi et al., 2020; de Waal & Preston, 2017; but see: Massen & Gallup, 2017). Instead, when the relation between motor replication phenomena and social bond is not positive, but as in our case neffative, the link between motoric resonance and emotional contagion must be interpreted within a broader framework. Even though accounts are scarce at the moment, there is evidence that in non-human hominids motor replication can have a neffative relation with amliation levels. As a matter of fact, this trend has been observed for example in young gorillas for RFM (Bresciani et al., 2022) and in bonobos for yawn contagion (De Vittoris et al., 2024). The variable association between motor replication and amliation levels may be rooted in human biological history. The amygdala, an evolutionarily conserved brain area, in humans encodes episodic memory and subjective evaluation of emotional faces rather than just visual elements (Dolcos et al., 2004; Wang et al., 2014). This is an adaptive feature, as natural selection favors responses that are most suitable to individuals in the environment where they interact. Indeed, environment modu- lates such responses (Bijlsma & Loeschcke, 2005). Facial expression phenotypes and functions are connected to socio-ecological context (social intelligence hypoth- esis; Schmidt & Cohn, 2001). In humans, contextual factors may influence how social factors modulate facial expression replication (Seibt et al., 2015), and con- text variety and social information complexity can obscure emotional cues from facial movements (Barrett et al., 2019). Context can also determine the emotional nuance of expressions and the corresponding response, as valence is not always entirely evident (Kret & Akyuz, 2022). Yawning in humans may be associated for example with testosterone (anger), cortisol (distress) but also with neutral behav- ioral transitions related to the circadian rhythm (e.g., Cordoni et al., 2021; Thomp- son, 2014; Zilli et al., 2007). Smile is more widely associated with happiness but in both adult humans and children it may be expressed out of frustration or in social exclusion situations (incongruent aGect; Mateo Santana & Grabell, 2023; Svetieva et al., 2019). Young children are still in the process of building their competence in the finely tuned detection of emotions in others' facial expressions, which is impor- tant for effective socio-emotional communication (Dehnam, 2018). The young chil- dren under study included infants and early toddlers with still scarce experience in emotionally interacting with others in a group social setting. Both inexperience and complex social situations may have contributed to shaping their response to the facial expressions of group mates in relation to amliation. Motor replication, cou- pled with emotional state replication, may function in reducing the prediction error over others' behavior, thus leading to appropriate decision making (Kret & Akyuz, 2022). The decision-making process, in humans, also involves subcortical brain areas (Prochazkova & Kret, 2017). The reduction of the prediction error may lead to at least to two opposite outcomes (and of course a range of possibilities in-between). On one extreme, such reduction may be pivotal to the continuation of social inter- action via coordination, as the prediction error is probably highest between less familiar individuals. This may help develop social bonds with less known individu- als (De Vittoris et al., 2024). Depending on the circumstances, however, the error reduction may also serve to interrupt, rather than facilitate, an interaction (Kret & Akyuz, 2022; Diana & Kret, 2025). In humans, for example, mimicry can lead to lower levels of trust (Diana et al., 2023) and yawn can mark behavioral transitions, which involve the interruption of one activity to commence another (e.g., resting to moving, sleep to wake; Gallup, 2022; Zannella et al., 2015). Based on the above elements, it is possible to point out that the social asymmetry of motor replication in relation to amliation observed in toddlers suggests that internal states may be also involved in such replication. The type of emotional connection that is established via mirror social releasers can depend&emdash;especially in toddlers&emdash;on the stage of develop- ment of individual competence and various contextual variables, such as group com- position and situational aspects. This kind of modulation emerges early in ontogeny and is probably evolutionary ancient, for the reasons explained above.
 
This study can lay the groundwork for deeper investigation in various comple- mentary directions. In order to do that, because young toddlers socially play at lower frequencies than older ones, larger datasets are necessary. For example, future work may consider the possible laterality of emotional facial expressions (e.g. Mandal and Ambady, 2004) and whether mimicry is (or not) axially specific, as these aspects may also modulate the response. The combined effect of RSM and YC on amliation levels may also be considered, as long with the effect of the mimicry of diGerent types of smiles, here conflated into a single cateffory. A point of reflection concerns the fact that in a naturalistic context it was not possible to measure eye contact, which is a factor known to potentially influence facial mimicry, particularly in the context of smile mimicry (Mauersberger et al., 2022). However, this study has the merit of considering mimicry in its naturally occurring social context, and in this respect, our results can add to the results obtained by using eye-tracking techniques. Future studies should explore the effect that mimicry has on play sessions (e.g., duration, patterns used) to highlight possible repercussions on social bonding. Moreover, the inclusion of other human cohorts (at early and later developmental stages) and the adoption of comparative approach with other primates (especially hominids) would be welcome in future investigation, to delve further into the ontogenetic and evo- lutionary basis of facial mimicry. Finally, in this study, we specifically focused on smile mimicry and contagious yawning, but other potential dynamics between dyads are likely to exist, such as mimicry of diGerent facial expressions or behaviors. This aspect is worth considering in future investigations, possibly on a larger dataset.