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The multiplicity of emotions: A framework of emotional functions in decision making
Open accessAbstract
A four-fold classification of emotions with respect to their functions in decision making is proposed. It is argued that emotions are not homogenous concerning their role in decision making, but that four distinct functions can be distinguished concerning emotional phenomena. One function is to provide information about pleasure and pain for preference construction, a second function is to enable rapid choices under time pressure, a third function is to focus attention on relevant aspects of a decision problem, and a fourth function is to generate commitment concerning morally and socially significant decisions. The pertinent literature on the relationship between emotion and decision making is reviewed, and it is concluded that most approaches fit into the proposed framework. We argue that a precise conceptualization of emotional phenomena is required to advance our understanding of the complex role of emotions in decision making.
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Cited by
Hilbert, M. (2012) · Psychological Bulletin · doi:10.1037/a0025940 · Cited by 391
Worry, Risk Perception, and Controllability Predict Intentions Toward COVID-19 Preventive Behaviors
Sobkow, A., Zaleskiewicz, T., Petrova, D., Garcia-Retamero, R., & Traczyk, J. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.582720 · Cited by 106
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Towards an integrative theory of consciousness: Part 1 (Neurobiological and cognitive models)
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Metadata
- Authors
- Pfister, H.-R., & Böhm, G.
- Venue
- Judgment and Decision Making
- Publisher
- Cambridge University Press (CUP)
- Published
- 2008-01
- Volume
- 3
- Issue
- 1
- Pages
- 5-17
- ISSN
- 1930-2975 (ISSN-L)
- OpenAlex
- W2115517188
- Cited by
- 335
- References
- 14
- FWCI
- 7.56
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
