Joint actions typically involve a sense of togetherness that has a distinctive phenomenological component. While it has been hypothesized that group size, hierarchical structure, division of labour, and expertise impact agents’ phenomenology during joint actions, the studies conducted so far have mostly involved dyads performing simple actions. We explore in this study the complex case of collectively improvised musical performances, focusing particularly on the way group size and interactional patterns modulate the phenomenology of joint action. We recorded two expert improvisation (...) ensembles of contrasting sizes and collected data about their musical behaviour, as well as reports about five aspects of their phenomenology and about their musical intentions. Our overall data enabled us to assess how those five phenomenological dimensions related to one another during jointly improvised performances. They also show how such phenomenology varied with the way improvisers dynamically related to one another throughout the performance. Finally, we observe that group size strongly altered the phenomenology of improvisers who otherwise shared many characteristics. Our study thus sheds light on the interactional and structural parameters that shape and modulate our felt experience when acting together, and thereby highlights the importance of pluralism for studying the phenomenology of joint action. (shrink)

In this article, we suggest that the study of social interactions and the development of a “sense of agency” in joint action can help determine the content of relevant explanations to be implemented in artificial systems to make them “explainable.” The introduction of automated systems, and more broadly of Artificial Intelligence, into many domains has profoundly changed the nature of human activity, as well as the subjective experience that agents have of their own actions and their consequences – an experience (...) that is commonly referred to as sense of agency. We propose to examine the empirical evidence supporting this impact of automation on individuals’ sense of agency, and hence on measures as diverse as operator performance, system explicability and acceptability. Because of some of its key characteristics, AI occupies a special status in the artificial systems landscape. We suggest that this status prompts us to reconsider human–AI interactions in the light of human–human relations. We approach the study of joint actions in human social interactions to deduce what key features are necessary for the development of a reliable sense of agency in a social context and suggest that such framework can help define what constitutes a good explanation. Finally, we propose possible directions to improve human–AI interactions and, in particular, to restore the sense of agency of human operators, improve their confidence in the decisions made by artificial agents, and increase the acceptability of such agents. (shrink)

The contributions collected in this special issue explore the phenomenology of joint action from a broad range of different disciplinary and methodological angles, including philosophical investigation (both in the analytic and the phenomenological tradition), computational modeling, experimental study, game theory, and developmental psychology. They also vastly expand the range of discussed cases beyond the standard examples of house-painting and sauce-cooking, addressing, for example, collective musical improvisations, dancing, work at the Diversity and Equity office of a university, and historical examples of (...) collective violence such as the revolutionary Terror in France and the Nazis. In our introduction to this special issue, we group the contributions into three thematic areas – 1) the phenomenological fine-structure of joint action, 2) underlying mechanisms for joint action and 3) phenomenal preconditions for joint action. The first theme is discussed under a number of issues – a) components of the phenomenology of joint action, b) the I and the we in joint action, c) the effect of group size, structure and nature on the phenomenology of joint action and d) how do phenomenal relate to normative aspects of joint action? (shrink)

The purpose of this article is to explore the role commitments may play in shaping our sense of joint agency. First, we propose that commitments may contribute to the generation of the sense of joint agency by stabilizing expectations and improving predictability. Second, we argue that commitments have a normative element that may bolster an agent's sense of control over the joint action and help counterbalance the potentially disruptive effects of asymmetries among agents. Finally, we discuss how commitments may contribute (...) to make acting jointly emotionally rewarding, both by improving coordination and by inducing or reinforcing the circumstances under which shared emotions emerge among co-agents. (shrink)

The sense of agency – the subjective feeling of being in control of our own actions – is one central aspect of the phenomenology of action. Computational models provided important contributions toward unveiling the mechanisms underlying the sense of agency in individual action. In particular, the sense of agency is believed to be related to the match between the actual and predicted consequences of our own actions. In the study of joint action, models are even more necessary to understand the (...) mechanisms underlying the development of coordination strategies and how the subjective experiences of control emerge during the interaction. In a joint action, we not only need to predict the consequences of our own actions; we also need to predict the actions and intentions of our partner, and to integrate these predictions to infer their joint consequences. Understanding our partner and developing mutually satisfactory coordination strategies are key components of joint action and in the development of the sense of joint agency. Here we discuss a computational architecture which addresses the sense of agency during intentional, real-time joint action. We first reformulate previous accounts of the sense of agency in probabilistic terms, as the combination of prior beliefs about the action goals and constraints, and the likelihood of the predicted movement outcomes. To look at the sense of joint agency, we extend classical computational motor control concepts - optimal estimation and optimal control. Regarding estimation, we argue that in joint action the players not only need to predict the consequences of their own actions, but also need to predict partner’s actions and intentions and to integrate these predictions to infer their joint consequences. As regards action selection, we use differential game theory – in which actions develop in continuous space and time - to formulate the problem of establishing a stable form of coordination and as a natural extension of optimal control to joint action. The resulting model posits two concurrent observer-controller loops, accounting for ‘joint’ and ‘self’ action control. The two observers quantify the likelihoods of being in control alone or jointly. Combined with prior beliefs, they provide weighing signals which are used to modulate the ‘joint’ and ‘self’ motor commands. We argue that these signals can be interpreted as the subjective sense of joint and self agency. We demonstrate the model predictions by simulating a sensorimotor interactive task where two players are mechanically coupled and are instructed to perform planar movements to reach a shared final target by crossing two differently located intermediate targets. In particular, we explore the relation between self and joint agency and the information available to each player about their partner. The proposed model provides a coherent picture of the inter-relation of prediction, control, and the sense of agency in a broader range of joint actions. (shrink)