A computational model for flexibility in emotion regulation

Ullah, Nimat; Treur, Jan; Koole, Sander L.

doi:10.1016/j.procs.2018.11.100

Cited by 10 publications

(12 citation statements)

References 24 publications

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“…Thus, while experiments can also be useful in manipulating situational features (e.g., intensity; Sheppes et al, 2014) to determine causality, it is difficult to adequately represent different situations in the lab (English & Eldesouky, 2020b). To assist with these more dynamic assessments of regulatory flexibility, researchers can utilize different computational tools that further distinguish between strategy variability and more skillful flexibility (Aldao et al, 2015;Hollenstein, 2015;Ullah et al, 2018;see English & Eldesouky, 2020b).…”

Section: Methodological Recommendationsmentioning

confidence: 99%

Self-control: An integrative framework

Werner¹,

Bq²

2021

Preprint

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Research on self-control has flourished within the last two decades, with researchers trying to answer one of the most fundamental questions regarding human behaviour – how do we successfully regulate desires in the pursuit of long-term goals? While recent research has focused on different strategies to enhance self-control success, we still know very little about how strategies are implemented or where the need for self-control comes from in the first place. Drawing from parallel fields (e.g., emotion regulation, health) and other theories of self-regulation, we propose a framework that describes self-control as a dynamic, multi-stage process that unfolds over time. In this review, we first provide an overview of this framework, which poses three stages of regulation: the identification of the need for self-control, the selection of strategies to regulate temptations, and the implementation of chosen strategies. These regulatory stages are then flexibly monitored over time. We then propose a series of questions to organize existing literature by highlighting what we already know, what we need to learn, and methodological recommendations for future research. Finally, we conclude by highlighting the need to bridge across disciplines, thereby improving our understanding of how self-control unfolds in everyday life and across different domains.

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Section: Methodological Recommendationsmentioning

confidence: 99%

Self-control: An integrative framework

Werner¹,

Bq²

2021

Preprint

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“…Various strategies can be used for the regulation of emotions and desires, however the adaptivity of these strategies is purely dependent on the context in which they are employed [17,18]. In the model developed in this paper (explained in Section 5), reappraisal, situation modification, and problem solving have been used for the regulation of the negative emotions because of the way they deal with negative emotions and also because these strategies are more adaptive as compared to other similar strategies.…”

Section: The Interplay and Regulation Of Emotions And Desiresmentioning

confidence: 99%

Food Desires, Negative Emotions and Behaviour Change Techniques: A Computational Analysis

2021

Self Cite

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Behaviour change techniques are considered effective means for changing behaviour, and with an increase in their use the interest in their exact working principles has also expanded. This information is required to make informed choices about when to apply which technique. Computational models that describe human behaviour can be helpful for this. In this paper a few behaviour change techniques have been connected with a computational model of emotion and desire regulation. Simulations have been performed to illustrate the effect of the techniques. The results demonstrate the working mechanisms and feasibility of the techniques used in the model.

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“…In line with the two-strategy approach, we recently proposed a computational model of emotion regulation flexibility in which the person switches between expressive suppression and attention modulation in managing anger in different work situations [4]. Simulation results illustrated the capacity of the model to display adaptivity in emotion regulation across different contexts.…”

Section: Introductionmentioning

confidence: 97%

“…Within the area of emotion regulation which is our long-term research focus, we recently proposed a computational model of emotion regulation flexibility which models a person who can switch between two strategies-expressive suppression and attention modulation -in managing anger in different work situations [4]. Building on and extending this work, the present model is inspired by the vast body of literature on flexibility in emotion regulation strategies and, therefore, addresses the challenge to design a computational model of emotion regulation flexibility in which a person can switch between four different emotion-regulation strategies: situation modification, attention modulation, expressive suppression, and cognitive reappraisal.…”

Section: Introductionmentioning

confidence: 99%

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Ullah

Koole

Treur

2020

Intelligent Computing Theories and Application

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A computational model for flexibility in emotion regulation

Cited by 10 publications

References 24 publications

Self-control: An integrative framework

Self-control: An integrative framework

Food Desires, Negative Emotions and Behaviour Change Techniques: A Computational Analysis

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