Coregulation refers to the process by which relationship partners form a dyadic emotional system involving an oscillating pattern of affective arousal and dampening that dynamically maintains an optimal emotional state. Coregulation may represent an important form of interpersonal emotion regulation, but confusion exists in the literature due to a lack of precision in the usage of the term. We propose an operational definition for coregulation as a bidirectional linkage of oscillating emotional channels between partners, which contributes to emotional stability for (...) both partners. We propose several distinctions and raise unanswered questions that will need to be addressed in order to understand the relevance of coregulation for well-being in adulthood. (shrink)

Forming intimate relationships is a fundamental human motive. Emotions play a critical role in intimate relationships—they are central to the development and maintenance of these bonds, and these very bonds can influence both individual and interpersonal emotional dynamics across time. Investigating emotional dynamics in an interpersonal context provides unique insight into the functioning of intimate relationships and, at the same time, provides a window into the interdependence of partners’ daily experiences. Reviewing a selection of the literature involving emotional dynamics in (...) intimate relationships, we explore how intimate relationships shape partner’s emotional experiences and the implications this may have for their relationship across time. (shrink)

People in an emotional exchange form a temporal interpersonal emotion system (TIES), in which their emotions are interconnected over time (Butler, 2011). These systems can be in various states, defined by the pattern of emotional interconnections. We have defined coregulation as one such state involving coupled dampened oscillations between partners’ emotions that converge on a stable level. Coregulation could be distinguished from other states, such as stress buffering, by comparing statistical models that represent the theoretical distinctions between states. Optimal data (...) for such modeling includes assessments of both partners’ emotions over time and a contrast between securely attached partners, strangers, and being alone. Research of this sort is needed to uncover the mechanisms by which emotional interdependence promotes well-being. (shrink)