The term "emotion" is not precise. It refers to an assemblage of processes that contribute to how we relate to the social and physical world. We need to understand the functional bases of such processes, and one such basis is action readiness. Action readiness is the preparation for movement or action. Preparation for movement occurs in all animals. In more recently evolved species, such as birds and mammals, preparation for directed action is found as well. Action readiness is the basis (...) for the states we now call emotions, but its importance goes far beyond emotions: action readiness is an elementary aspect of the way autonomous living beings regulate their interactions with the world. (shrink)

This case study in the history of “passion” and “emotion” is based on the writings of William James. James is famous for his (1884) theory of emotion. However, like his illustrious colleague, Théodule Ribot, he also recognized the importance of “passion” in psychology. That aspect of James’s work is underappreciated. Ribot explicitly defends the necessity of including “passion” in psychology. James does not go that far. But he does utilize a very similar concept in connection with the term “passion” and (...) there can be little doubt he considered it scientifically legitimate. Consequently, like Ribot, James must be considered an exception to historical accounts of this period which describe a transition from “passion” to “emotion” in which “passion” plays no part. (shrink)

This paper shows the close relationship between morality and emotions, as emotions were defined and understood by classical Greek and Roman philosophers. Particular attention is paid to the nature of anger, and also to the distinction between full-fledged emotions, which depend on rational judgments and which, accordingly, only human beings are capable of experiencing, and what the Stoics called “pre-emotions,” which were common to human beings and other animals.

Emotions are a natural vector for acting together with others and are witnessed in human behaviour, perception and body functions. For this reason, studies of human-to-human interaction, such as multi-person motor synchronisation, are a perfect setting to disentangle the linkage of emotion with socio-motor interaction. And yet, the majority of joint action studies aiming at understanding the impact of emotions on multi-person performance resort to enacted emotions, the ones that are emulated based on the previous experience of such emotions, and (...) almost exclusively focus on dyadic interaction. In addition, tasks chosen to study emotion in joint action are frequently characterised by a reduced number of physical dimensions to gain experimental control and subsequent facilitation in data analysis. Therefore, it is not clear how naturalistically induced emotions diffuse in more ecological interactions with other people and how emotions affect the process of interpersonal synchronisation. Here, we show that positive and negative emotions differently alter spontaneous human synchronous behaviour during a multi-person improvisation task. The study involved 39 participants organised in triads who self-reported liking improvisational activities. The task involved producing improvisational movements with the right hand. Participants were emotionally induced by manipulated social feedback involving a personal ranking score. Three-dimensional spatio-temporal data and cardiac activity were extracted and transformed into oscillatory signals to compute behavioural and physiological synchrony. Our results demonstrate that individuals induced with positive emotions, as opposed to negative emotions or a neutral state, maintained behavioural synchrony with other group members for a longer period of time. These findings contribute to the emerging shift of neuroscience of emotion and affective sciences towards the environment of social significance where emotions appear the most—in interaction with others. Our study showcases a method of quantification of synchrony in an improvisational and interactive task based on a well-established Kuramoto model. (shrink)