In recent years, a number of approaches to social cognition research have emerged that highlight the importance of embodied interaction for social cognition (Reddy, How infants know minds, 2008; Gallagher, J Conscious Stud 8:83–108, 2001; Fuchs and Jaegher, Phenom Cogn Sci 8:465–486, 2009; Hutto, in Seemans (ed.) Joint attention: new developments in psychology, philosophy of mind and social neuroscience, 2012). Proponents of such ‘interactionist’ approaches emphasize the importance of embodied responses that are engaged in online social interaction, and which, according (...) to interactionists, present an alternative to mindreading as a source of social understanding. We agree that it is important to take embodied interaction seriously, but do not agree that this presents a fundamental challenge to mainstream mindreading approaches. Drawing upon an analogy between embodied interaction and the exercise of expert skills, we advocate a hierarchical view which claims that embodied social responses generally operate in close conjunction with higher-level cognitive processes that play a coordinative role, and which are often sensitive to mental states. Thus, investigation of embodied responses should inform rather than conflict with research on mindreading. (shrink)

Recent studies of emotion mindreading reveal that for three emotions, fear, disgust, and anger, deficits in face-based recognition are paired with deficits in the production of the same emotion. What type of mindreading process would explain this pattern of paired deficits? The simulation approach and the theorizing approach are examined to determine their compatibility with the existing evidence. We conclude that the simulation approach offers the best explanation of the data. What computational steps might be used, however, in simulation-style emotion (...) detection? Four alternative models are explored: a generate-and-test model, a reverse simulation model, a variant of the reverse simulation model that employs an “as if” loop, and an unmediated resonance model. (shrink)

Human social coordination is often mediated by language. Through verbal dialogue, people direct each other’s attention to properties of their shared environment, they discuss how to jointly solve problems, share their introspections, and distribute roles and assignments. In this article, we propose a dynamical framework for the study of the coordinative role of language. Based on a review of a number of recent experimental studies, we argue that shared symbolic patterns emerge and stabilize through a process of local reciprocal linguistic (...) alignment. Such patterns in turn come to facilitate and refine social coordination by enabling the alignment, joint construction and navigation of conceptual models and actions. Implications of the framework are illustrated and discussed in relation to a case study where dyads of interlocutors interact verbally to reach joint decisions in a perceptual discrimination task. (shrink)

Sample correlations converge to the population value with increasing sample size, but the estimates are often inaccurate in small samples. In this report we use Monte-Carlo simulations to determine the critical sample size from which on the magnitude of a correlation can be expected to be stable. The necessary sample size to achieve stable estimates for correlations depends on the effect size, the width of the corridor of stability, and the requested confidence that the trajectory does not leave this corridor (...) any more. Results indicate that in typical scenarios the sample size should approach 250 for stable estimates. (shrink)

What is the proper unit of analysis in the psycholinguistics of dialog? While classical approaches are largely based on models of individual linguistic processing, recent advances stress the social coordinative nature of dialog. In the influential interactive alignment model, dialogue is thus approached as the progressive entrainment of interlocutors' linguistic behaviors toward the alignment of situation models. Still, the driving mechanisms are attributed to individual cognition in the form of automatic structural priming. Challenging these ideas, we outline a dynamical framework (...) for studying dialog based on the notion of interpersonal synergy. Crucial to this synergetic model is the emphasis on dialog as an emergent, self-organizing, interpersonal system capable of functional coordination. A consequence of this model is that linguistic processes cannot be reduced to the workings of individual cognitive systems but must be approached also at the interpersonal level. From the synergy model follows a number of new predictions: beyond simple synchrony, good dialog affords complementary dynamics, constrained by contextual sensitivity and functional specificity. We substantiate our arguments by reference to recent empirical studies supporting the idea of dialog as interpersonal synergy. (shrink)