Tackling the social cognition paradox through multi-scale approaches

Dumas, Guillaume; Kelso, J. A. Scott; Nadel, Jacqueline

doi:10.3389/fpsyg.2014.00882

Cited by 45 publications

(40 citation statements)

References 70 publications

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“…Our results lend support to the idea that there is an imbalance between self and other neural dynamics, the other coming before the self (Graziano and Kastner, 2011). Taken together, the present findings call for going beyond the social brain per se to embrace a more integrative perspective where sensorimotor abilities and accurate intention attribution are part and parcel of the same self-organizing coordination dynamics that grounds social awareness and cognition (Oullier and Kelso, 2009;Kelso et al, 2013;Dumas et al, 2014b).…”

Section: Brain Dynamics Of Social Embodimentsupporting

confidence: 81%

The Human Dynamic Clamp reveals the fronto-parietal network linking real-time social coordination and cognition

Dumas

Moreau

Tognoli

et al. 2019

Preprint

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How does the brain allow us to interact with others, and above all how does it handle situations when the goals of the interactors overlap (i.e. cooperation) or differ (i.e. competition)? Social neuroscience has already provided some answers to these questions but has tended to treat highlevel, cognitive interpretations of social behavior separately from the sensorimotor mechanisms upon which they rely. The goal here is to identify the underlying neural processes and mechanisms linking sensorimotor coordination and intention attribution. We combine the Human Dynamic Clamp (HDC), a novel paradigm for studying realistic social behavior between self and other in well-controlled laboratory conditions, with high resolution electroencephalography (EEG). The collection of humanness and intention attribution reports, kinematics and neural data affords an opportunity to relate brain activity to the behavior of the HDC as well as to what the human is doing. Behavioral results demonstrate that sensorimotor coordination influences judgements of cooperativeness and humanness. Analysis of brain dynamics reveals two distinct networks related to integration of visuo-motor information from self and other. The two networks overlap over the right parietal region, an area known to be important for interpersonal motor interactions. Furthermore, connectivity analysis highlights how the judgement of humanness and cooperation of others modulate the connection between the right parietal hub and prefrontal cortex. These results reveal how distributed neural dynamics integrates information from 'low-level' sensorimotor mechanisms and 'high-level' social cognition to support the realistic social behaviors that play out in real time during interactive scenarios. Significance StatementDaily social interactions require us to coordinate with others and to reflect on their potential motives. This study investigates the brain and behavioral dynamics of these two key aspects of social cognition. Combining high-density electroencephalography and the Human Dynamic Clamp (a Virtual Partner endowed with human-based coordination dynamics), we show first, that several features of sensorimotor coordination influence attribution of intention and judgement of humanness; second, that the right parietal lobe is a key integration hub between information related to self-and other-behavior; and third, that the posterior online social hub is functionally coupled to anterior offline brain structures to support mentalizing about others. Our results stress the complementary nature of low-level and high-level mechanisms that underlie social cognition.

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Section: Brain Dynamics Of Social Embodimentsupporting

confidence: 81%

The Human Dynamic Clamp reveals the fronto-parietal network linking real-time social coordination and cognition

Dumas

Moreau

Tognoli

et al. 2019

Preprint

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“…Recently cognitive science has started to adopt a multi-scale and dynamical systems account for different aspects of human behavior (Dumas et al, 2014). Complexity sciences are a formal way for adopting such an approach, as they have the advantage of studying a wide variety of phenomena from both holistic and dynamic perspectives.…”

Section: Introductionmentioning

confidence: 99%

Time-Series Analysis of Embodied Interaction: Movement Variability and Complexity Matching As Dyadic Properties

et al. 2016

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There is a growing consensus that a fuller understanding of social cognition depends on more systematic studies of real-time social interaction. Such studies require methods that can deal with the complex dynamics taking place at multiple interdependent temporal and spatial scales, spanning sub-personal, personal, and dyadic levels of analysis. We demonstrate the value of adopting an extended multi-scale approach by re-analyzing movement time-series generated in a study of embodied dyadic interaction in a minimal virtual reality environment (a perceptual crossing experiment). Reduced movement variability revealed an interdependence between social awareness and social coordination that cannot be accounted for by either subjective or objective factors alone: it picks out interactions in which subjective and objective conditions are convergent (i.e., elevated coordination is perceived as clearly social, and impaired coordination is perceived as socially ambiguous). This finding is consistent with the claim that interpersonal interaction can be partially constitutive of direct social perception. Clustering statistics (Allan Factor) of salient events revealed fractal scaling. Complexity matching defined as the similarity between these scaling laws was significantly more pronounced in pairs of participants as compared to surrogate dyads. This further highlights the multi-scale and distributed character of social interaction and extends previous complexity matching results from dyadic conversation to non-verbal social interaction dynamics. Trials with successful joint interaction were also associated with an increase in local coordination. Consequently, a local coordination pattern emerges on the background of complex dyadic interactions in the PCE task and makes joint successful performance possible.

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“…57,58 During development, this ability to infer intentions and attribute goals to others is intrinsically tied to motor cognition 59 , however, there seems to be a chicken-egg problem in what appears first: the ability to interact with others, or the ability to represent them. 60 Grossmann and others have provided evidence, contrary to the suggestion of James and Piaget, that infants are equipped from birth to preferentially direct their attention to and process social stimuli. 61 The emergence of meaning starts well before the emergence of language.…”

Section: Goal and Semantic Alignmentsmentioning

confidence: 87%

Reciprocity and alignment: quantifying coupling in dynamic interactions

Fairhurst¹,

Dumas²

2019

Preprint

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Recent accounts of social cognition focus on how we do things together suggesting that becoming aligned relies on a reciprocal exchange of information. The next step is to develop richer computational methods that quantify the degree of coupling and describe the nature of the information exchange. We put forward a definition of coupling comparing it to related terminology and detail available computational methods and the level of organisation to which they pertain, presenting them as a hierarchy from weakest to richest forms of coupling. The rationale is that a temporally coherent link between two dynamical systems at the lowest level of organisation sustains mutual adaptation and alignment at the highest level. Postulating that when we do things together, we do so dynamically over time, we argue that to determine and measure instances of true reciprocity in social exchanges is key. Along with this computationally rich definition of coupling, we present challenges for the field to be tackled by a diverse community working towards a dynamic account of social cognition.

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Tackling the social cognition paradox through multi-scale approaches

Cited by 45 publications

References 70 publications

The Human Dynamic Clamp reveals the fronto-parietal network linking real-time social coordination and cognition

The Human Dynamic Clamp reveals the fronto-parietal network linking real-time social coordination and cognition

Time-Series Analysis of Embodied Interaction: Movement Variability and Complexity Matching As Dyadic Properties

Reciprocity and alignment: quantifying coupling in dynamic interactions

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