Interpersonal synchrony, the temporal coordination of actions, emotions, thoughts and physiological processes, is a widely studied ubiquitous phenomenon. Research has already established that more synchrony is not always more beneficial, especially in the fields of emotional and physiological synchrony. Despite this fact, the dominant tone in the literature is that behavioral interpersonal synchrony is a pro‐social phenomenon, and hence, in social contexts, more behavioral synchrony is generally considered better. In accordance with that tone, the naturally occurring dynamics of moving in and out of synchrony have rarely been studied or considered as an adaptive state. In the present article, we aim to present a new model of interpersonal synchrony, based on the existing literature assessing synchrony as well as the ideas of complex dynamical systems. At the core of our model is the idea that two tendencies exist simultaneously, one to synchronize with others and another to move out of synchrony and act independently. We suggest that an adaptive interpersonal system is a flexible one, able to continuously adjust itself to the social context. We suggest that the concept of meta‐stability might be a marker of such a flexible interpersonal system. Moreover, the model considers both behavioral and physiological aspects in order to provide a more extensive account. We present research implications of the model, as well as a demonstration of the model's applicability to data, and provide code researchers can use to analyze their own data in these methods. Finally, we discuss future directions in detail.

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The COVID-19 pandemic has a major impact on mental well-being and interpersonal relationships. Nonetheless, little is known about the complex interactions between one's overall perceived interpersonal closeness and physiological or psychological aspects of interpersonal functioning. This study aimed to understand the interaction between perceived interpersonal closeness during COVID-19 and interpersonal mechanisms in predicting well-being. We focused on two interpersonal mechanisms, one physiological and the other psychological: (a) prepandemic physiological synchrony, a physiological measure of interpersonal coupling, and (b) peripandemic emotional contagion, one's tendency to "catch" others' emotions. One hundred fifty-five participants took part in the study. Cardiological interbeat interval synchrony was collected 1.5 to 3 years prior to the beginning of the COVID pandemic in two previous lab studies. Participants were recontacted during the pandemic, this time to complete several questionnaires tapping into perceived interpersonal closeness, tendency for emotional contagion, and psychological well-being during COVID. As hypothesized, overall perceived interpersonal closeness was positively related to well-being. Moreover, this effect was moderated by one's tendency for emotional contagion or by physiological synchrony. Thus, individuals with higher emotional contagion scores or higher physiological synchrony had higher well-being if their interpersonal closeness was perceived as greater. Conversely, their well-being was lower if they perceived their interpersonal closeness as weaker. These results emphasize that individuals may be differentially susceptible to the effects of their relationships on their well-being. Future mental health interventions should consider both the quality of one's perceived interpersonal closeness and the extent to which one is sensitive to others' emotional experiences.

Dominant theoretical accounts of interpersonal synchrony, the temporal coordination of biobehavioral processes between several individuals, have employed a linear approach, generally considering synchrony as a positive state, and utilizing aggregate scores. However, synchrony is known to take on a dynamical form with continuous shifts in its timeline. Acting as one continuously, is not always the optimal state, due to an intrinsic tension between individualistic and synergistic forms of action that exist in many social situations. We propose an alternative theory of flexible multimodal synchrony which highlights context as a key component that defines “pulls” toward synchrony and “pulls” toward segregation inherent to the social situation. Trait-like individual differences then sensitize individuals to these contextual “pulls”. In this manner, context and individual differences provide the backdrop to the emergence of flexible and dynamical synchrony patterns, which we consider adaptive, in several modalities– behavioral, physiological, and neural. We point to two main interpersonal consequences of multimodal synchrony patterns: Social and task-oriented outcomes. We delineate hypotheses that emanate from the theory which have not been articulated by previous theories and provide two empirical proofs-of-concept: In the first, we show how individual differences modulate the effect of context on synchrony’s outcomes in a novel dyadic motor game. In the second, we re-analyze previously reported data, to show how a ‘flexibility’ data-analysis approach to synchrony improves predictive ability when testing for synchrony’s effects on social cohesion. We end this review with guidelines for future synchrony research in light of the flexible multimodal theory presented

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