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Appraisal dynamics : a predictive mind process model perspective

(2021) Affect dynamics. p.19-32
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Abstract
The dynamic updating and revising of appraisals affords a crucial measure of flexibility to emotion processing from emotion generation through emotion regulation. However, much remains to be understood about the specific computations underlying appraisal shifts in iterative cycles of emotion generation and emotion regulation. In this chapter, we argue that a predictive mind process model perspective, constituted by predictive coding and active inference accounts, can help to clarify when and how appraisals are updated and revised. We start with a brief overview of basic concepts underlying the extended process model of emotion regulation and the predictive mind perspective. Next, we recast the extended process model in predictive terms, yielding a novel framework for understanding appraisal as well as reappraisal. We finish by outlining implications of this framework for understanding temporal dynamics of emotion and emotion regulation as well as individual differences and clinical phenomena.

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Citation

Please use this url to cite or link to this publication:

MLA
Everaert, Jonas, et al. “Appraisal Dynamics : A Predictive Mind Process Model Perspective.” Affect Dynamics, edited by Christian E. Waugh and Peter Kuppens, Springer, 2021, pp. 19–32, doi:10.1007/978-3-030-82965-0_2.
APA
Everaert, J., Gross, J. J., & Uusberg, A. (2021). Appraisal dynamics : a predictive mind process model perspective. In C. E. Waugh & P. Kuppens (Eds.), Affect dynamics (pp. 19–32). https://doi.org/10.1007/978-3-030-82965-0_2
Chicago author-date
Everaert, Jonas, James J. Gross, and Andero Uusberg. 2021. “Appraisal Dynamics : A Predictive Mind Process Model Perspective.” In Affect Dynamics, edited by Christian E. Waugh and Peter Kuppens, 19–32. Springer. https://doi.org/10.1007/978-3-030-82965-0_2.
Chicago author-date (all authors)
Everaert, Jonas, James J. Gross, and Andero Uusberg. 2021. “Appraisal Dynamics : A Predictive Mind Process Model Perspective.” In Affect Dynamics, ed by. Christian E. Waugh and Peter Kuppens, 19–32. Springer. doi:10.1007/978-3-030-82965-0_2.
Vancouver
1.
Everaert J, Gross JJ, Uusberg A. Appraisal dynamics : a predictive mind process model perspective. In: Waugh CE, Kuppens P, editors. Affect dynamics. Springer; 2021. p. 19–32.
IEEE
[1]
J. Everaert, J. J. Gross, and A. Uusberg, “Appraisal dynamics : a predictive mind process model perspective,” in Affect dynamics, C. E. Waugh and P. Kuppens, Eds. Springer, 2021, pp. 19–32.
@incollection{8734691,
  abstract     = {{The dynamic updating and revising of appraisals affords a crucial measure of flexibility to emotion processing from emotion generation through emotion regulation. However, much remains to be understood about the specific computations underlying appraisal shifts in iterative cycles of emotion generation and emotion regulation. In this chapter, we argue that a predictive mind process model perspective, constituted by predictive coding and active inference accounts, can help to clarify when and how appraisals are updated and revised. We start with a brief overview of basic concepts underlying the extended process model of emotion regulation and the predictive mind perspective. Next, we recast the extended process model in predictive terms, yielding a novel framework for understanding appraisal as well as reappraisal. We finish by outlining implications of this framework for understanding temporal dynamics of emotion and emotion regulation as well as individual differences and clinical phenomena.}},
  author       = {{Everaert, Jonas and Gross, James J. and Uusberg, Andero}},
  booktitle    = {{Affect dynamics}},
  editor       = {{Waugh, Christian E. and Kuppens, Peter}},
  isbn         = {{9783030829643}},
  language     = {{eng}},
  pages        = {{19--32}},
  publisher    = {{Springer}},
  title        = {{Appraisal dynamics : a predictive mind process model perspective}},
  url          = {{http://doi.org/10.1007/978-3-030-82965-0_2}},
  year         = {{2021}},
}

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