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  1. Investigating Conversational Dynamics: Interactive Alignment, Interpersonal Synergy, and Collective Task Performance.Riccardo Fusaroli & Kristian Tylén - 2016 - Cognitive Science 40 (1):145-171.
    This study investigates interpersonal processes underlying dialog by comparing two approaches, interactive alignment and interpersonal synergy, and assesses how they predict collective performance in a joint task. While the interactive alignment approach highlights imitative patterns between interlocutors, the synergy approach points to structural organization at the level of the interaction—such as complementary patterns straddling speech turns and interlocutors. We develop a general, quantitative method to assess lexical, prosodic, and speech/pause patterns related to the two approaches and their impact on collective (...)
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  • Joint Action, Interactive Alignment, and Dialog.Simon Garrod & Martin J. Pickering - 2009 - Topics in Cognitive Science 1 (2):292-304.
    Dialog is a joint action at different levels. At the highest level, the goal of interlocutors is to align their mental representations. This emerges from joint activity at lower levels, both concerned with linguistic decisions (e.g., choice of words) and nonlinguistic processes (e.g., alignment of posture or speech rate). Because of the high‐level goal, the interlocutors are particularly concerned with close coupling at these lower levels. As we illustrate with examples, this means that imitation and entrainment are particularly pronounced during (...)
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  • Synchrony in Psychotherapy: A Review and an Integrative Framework for the Therapeutic Alliance.Sander L. Koole & Wolfgang Tschacher - 2016 - Frontiers in Psychology 7:191242.
    During psychotherapy, patient and therapist tend to spontaneously synchronize their vocal pitch, bodily movements, and even their physiological processes. In the present article, we consider how this pervasive phenomenon may shed new light on the therapeutic relationship– or alliance– and its role within psychotherapy. We first review clinical research on the alliance and the multidisciplinary area of interpersonal synchrony. We then integrate both literatures in the Interpersonal Synchrony (In-Sync) model of psychotherapy. According to the model, the alliance is grounded in (...)
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  • Interactive Team Cognition.Nancy J. Cooke, Jamie C. Gorman, Christopher W. Myers & Jasmine L. Duran - 2013 - Cognitive Science 37 (2):255-285.
    Cognition in work teams has been predominantly understood and explained in terms of shared cognition with a focus on the similarity of static knowledge structures across individual team members. Inspired by the current zeitgeist in cognitive science, as well as by empirical data and pragmatic concerns, we offer an alternative theory of team cognition. Interactive Team Cognition (ITC) theory posits that (1) team cognition is an activity, not a property or a product; (2) team cognition should be measured and studied (...)
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  • Alignment in social interactions.Mattia Gallotti, M. T. Fairhurst & C. D. Frith - 2017 - Consciousness and Cognition 48:253-261.
    According to the prevailing paradigm in social-cognitive neuroscience, the mental states of individuals become shared when they adapt to each other in the pursuit of a shared goal. We challenge this view by proposing an alternative approach to the cognitive foundations of social interactions. The central claim of this paper is that social cognition concerns the graded and dynamic process of alignment of individual minds, even in the absence of a shared goal. When individuals reciprocally exchange information about each other's (...)
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  • Empirical Evidence for Extended Cognitive Systems.Luis H. Favela, Mary Jean Amon, Lorena Lobo & Anthony Chemero - 2021 - Cognitive Science 45 (11):e13060.
    Cognitive Science, Volume 45, Issue 11, November 2021.
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  • Alignment in Multimodal Interaction: An Integrative Framework.Marlou Rasenberg, Asli Özyürek & Mark Dingemanse - 2020 - Cognitive Science 44 (11):e12911.
    When people are engaged in social interaction, they can repeat aspects of each other’s communicative behavior, such as words or gestures. This kind of behavioral alignment has been studied across a wide range of disciplines and has been accounted for by diverging theories. In this paper, we review various operationalizations of lexical and gestural alignment. We reveal that scholars have fundamentally different takes on when and how behavior is considered to be aligned, which makes it difficult to compare findings and (...)
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  • Problem‐Solving Phase Transitions During Team Collaboration.Travis J. Wiltshire, Jonathan E. Butner & Stephen M. Fiore - 2018 - Cognitive Science 42 (1):129-167.
    Multiple theories of problem-solving hypothesize that there are distinct qualitative phases exhibited during effective problem-solving. However, limited research has attempted to identify when transitions between phases occur. We integrate theory on collaborative problem-solving with dynamical systems theory suggesting that when a system is undergoing a phase transition it should exhibit a peak in entropy and that entropy levels should also relate to team performance. Communications from 40 teams that collaborated on a complex problem were coded for occurrence of problem-solving processes. (...)
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  • Multidimensional Recurrence Quantification Analysis for the Analysis of Multidimensional Time-Series: A Software Implementation in MATLAB and Its Application to Group-Level Data in Joint Action.Sebastian Wallot, Andreas Roepstorff & Dan Mønster - 2016 - Frontiers in Psychology 7.
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  • Coordination Dynamics: A Foundation for Understanding Social Behavior.Emmanuelle Tognoli, Mengsen Zhang, Armin Fuchs, Christopher Beetle & J. A. Scott Kelso - 2020 - Frontiers in Human Neuroscience 14:531499.
    Humans’ interactions with each other or with socially competent machines exhibit lawful coordination patterns at multiple levels of description. According to Coordination Dynamics, such laws specify the flow of coordination states produced by functional synergies of elements (e.g., cells, body parts, brain areas, people…) that are temporarily organized as single, coherent units. These coordinative structures or synergies may be mathematically characterized as informationally coupled self-organizing dynamical systems (Coordination Dynamics). In this paper, we start from a simple foundation, an elemental model (...)
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  • Degeneracy and Complexity in Neuro-Behavioral Correlates of Team Coordination.Silke Dodel, Emmanuelle Tognoli & J. A. Scott Kelso - 2020 - Frontiers in Human Neuroscience 14.
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  • Performance in a Collaborative Search Task: The Role of Feedback and Alignment.Moreno I. Coco, Rick Dale & Frank Keller - 2018 - Topics in Cognitive Science 10 (1):55-79.
    When people communicate, they coordinate a wide range of linguistic and non-linguistic behaviors. This process of coordination is called alignment, and it is assumed to be fundamental to successful communication. In this paper, we question this assumption and investigate whether disalignment is a more successful strategy in some cases. More specifically, we hypothesize that alignment correlates with task success only when communication is interactive. We present results from a spot-the-difference task in which dyads of interlocutors have to decide whether they (...)
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  • Beyond Dyadic Coordination: Multimodal Behavioral Irregularity in Triads Predicts Facets of Collaborative Problem Solving.Mary Jean Amon, Hana Vrzakova & Sidney K. D'Mello - 2019 - Cognitive Science 43 (10):e12787.
    We hypothesize that effective collaboration is facilitated when individuals and environmental components form a synergy where they work together and regulate one another to produce stable patterns of behavior, or regularity, as well as adaptively reorganize to form new behaviors, or irregularity. We tested this hypothesis in a study with 32 triads who collaboratively solved a challenging visual computer programming task for 20 min following an introductory warm‐up phase. Multidimensional recurrence quantification analysis was used to examine fine‐grained (i.e., every 10 (...)
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  • Finding Structure in Time: Visualizing and Analyzing Behavioral Time Series.Tian Linger Xu, Kaya de Barbaro, Drew H. Abney & Ralf F. A. Cox - 2020 - Frontiers in Psychology 11:521451.
    The temporal structure of behavior contains a rich source of information about its dynamic organization, origins, and development. Today, advances in sensing and data storage allow researchers to collect multiple dimensions of behavioral data at a fine temporal scale both in and out of the laboratory, leading to the curation of massive multimodal corpora of behavior. However, along with these new opportunities come new challenges. Theories are often underspecified as to the exact nature of these unfolding interactions, and psychologists have (...)
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  • Intragroup Emotions: Physiological Linkage and Social Presence.Simo Järvelä, Jari Kätsyri, Niklas Ravaja, Guillaume Chanel & Pentti Henttonen - 2016 - Frontiers in Psychology 7.
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  • Attentional coordination in demonstrator-observer dyads facilitates learning and predicts performance in a novel manual task.Murillo Pagnotta, Kevin N. Laland & Moreno I. Coco - 2020 - Cognition 201 (C):104314.
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  • Convergent Validation of Methods for the Identification of Psychotherapeutic Phase Transitions in Time Series of Empirical and Model Systems.Günter Schiepek, Helmut Schöller, Giulio de Felice, Sune Vork Steffensen, Marie Skaalum Bloch, Clemens Fartacek, Wolfgang Aichhorn & Kathrin Viol - 2020 - Frontiers in Psychology 11.
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  • Developmentally Changing Attractor Dynamics of Manual Actions with Objects in Late Infancy.Jeremy I. Borjon, Drew H. Abney, Linda B. Smith & Chen Yu - 2018 - Complexity 2018:1-13.
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  • Modeling Multi-Agent Self-Organization through the Lens of Higher Order Attractor Dynamics.Jonathan E. Butner, Travis J. Wiltshire & A. K. Munion - 2017 - Frontiers in Psychology 8.
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  • Development of a Synchronization Coefficient for Biosocial Interactions in Groups and Teams.J. Guastello Stephen & F. Peressini Anthony - 2017 - Small Group Research 48 (1).
    Body movements, autonomic arousal, and electroencephalograms of group members are often coordinated or synchronized with those of other group members. Linear and nonlinear measures of synchronization have been developed for pairs of individuals, but little work has been done on measures of synchronization for groups. We define a new synchronization coefficient, SE, for a group based on pairwise correlations in time series data and employing the notions of a group driver, who most drives the group’s responses, and empath, who is (...)
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