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  1. Capturing the Formation and Regulation of Emotions in Collaborative Learning: The FRECL Coding Procedure.Nikki G. Lobczowski - 2022 - Frontiers in Psychology 13.
    Despite recent increases in research on emotions and regulation in collaborative learning, measuring both constructs remains challenging and often lacks structure. Researchers need a systematic method to measure both the formation of emotions and subsequent regulation in collaborative learning environments. Drawing from the Formation and Regulation of Emotions in Collaborative Learning model, I introduce a new observational coding procedure that provides comprehensive guidelines for coding these phenomena. The FRECL coding procedure has been implemented successfully in other studies and is described (...)
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  • Collective Emotion: A Framework for Experimental Research.Victor Chung, Julie Grèzes & Elisabeth Pacherie - 2024 - Emotion Review 16 (1):28-45.
    Research on collective emotion spans social sciences, psychology and philosophy. There are detailed case studies and diverse theories of collective emotion. However, experimental evidence regarding the universal characteristics, antecedents and consequences of collective emotion remains sparse. Moreover, current research mainly relies on emotion self-reports, accounting for the subjective experience of collective emotion and ignoring their cognitive and physiological bases. In response to these challenges, we argue for experimental research on collective emotion. We start with an overview of theoretical frameworks to (...)
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  • Interpersonal Physiological Synchrony Predicts Group Cohesion.Alon Tomashin, Ilanit Gordon & Sebastian Wallot - 2022 - Frontiers in Human Neuroscience 16.
    A key emergent property of group social dynamic is synchrony–the coordination of actions, emotions, or physiological processes between group members. Despite this fact and the inherent nested structure of groups, little research has assessed physiological synchronization between group members from a multi-level perspective, thus limiting a full understanding of the dynamics between members. To address this gap of knowledge we re-analyzed a large dataset comprising physiological and psychological data that were collected in two laboratory studies that involved two different social (...)
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  • Prospects for Augmenting Team Interactions with Real‐Time Coordination‐Based Measures in Human‐Autonomy Teams.Travis J. Wiltshire, Kyana van Eijndhoven, Elwira Halgas & Josette M. P. Gevers - 2024 - Topics in Cognitive Science 16 (3):391-429.
    Complex work in teams requires coordination across team members and their technology as well as the ability to change and adapt over time to achieve effective performance. To support such complex interactions, recent efforts have worked toward the design of adaptive human-autonomy teaming systems that can provide feedback in or near real time to achieve the desired individual or team results. However, while significant advancements have been made to better model and understand the dynamics of team interaction and its relationship (...)
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