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dc.contributor.authorOlschewski, S
dc.contributor.authorLuckman, A
dc.contributor.authorMason, A
dc.contributor.authorLudvig, EA
dc.contributor.authorKonstantinidis, E
dc.date.accessioned2023-05-24T13:30:35Z
dc.date.issued2023-06-30
dc.date.updated2023-05-24T13:11:20Z
dc.description.abstractIn many important real-world decision domains, such as finance, the environment, and health, behavior is strongly influenced by experience. Renewed interest in studying this influence led to important advancements in the understanding of these decisions from experience (DfE) in the last 20 years. Building on this literature, in this perspective, we suggest ways the standard experimental design should be extended to better approach important real-world DfE. These extensions include among others the introduction of more complex choice situations, delayed feedback, and social interactions. Acting upon experiences in these richer and more complicated environments requires extensive cognitive processes to make a decision. Therefore, we argue for integrating cognitive processes more explicitly into experimental research in DfE. These cognitive processes include attention to and perception of numeric and non-numeric experiences, the influence of episodic and semantic memory, and the mental models involved in learning processes. Understanding these basic cognitive processes can advance the modeling, understanding and prediction of DfE in the laboratory and in the real world. We highlight the potential of experimental research in DfE for theory integration across the behavioral, decision, and cognitive sciences. Furthermore, this research could become an important method to better inform decision making and policy interventions.en_GB
dc.identifier.citationPublished online 30 June 2023en_GB
dc.identifier.doi10.1177/17456916231179138
dc.identifier.urihttp://hdl.handle.net/10871/133229
dc.identifierORCID: 0000-0002-4084-0376 (Luckman, Ashley James)
dc.language.isoenen_GB
dc.publisherSAGE Publications / Association for Psychological Scienceen_GB
dc.rights© The Author(s) 2023. Open access. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
dc.subjectdecisions from experienceen_GB
dc.subjectcognitive processesen_GB
dc.subjectuncertaintyen_GB
dc.subjectlearningen_GB
dc.subjectrisk takingen_GB
dc.titleThe future of decisions from experience: connecting real-world decision problems to cognitive processesen_GB
dc.typeArticleen_GB
dc.date.available2023-05-24T13:30:35Z
dc.identifier.issn1745-6916
dc.descriptionThis is the final version. Available on open access from SAGE Publications via the DOI in this recorden_GB
dc.identifier.eissn1745-6924
dc.identifier.journalPerspectives on Psychological Scienceen_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_GB
dcterms.dateAccepted2023-05-09
dcterms.dateSubmitted2022-02-09
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-05-09
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-05-24T13:11:23Z
refterms.versionFCDAM
refterms.dateFOA2023-07-31T10:53:41Z
refterms.panelCen_GB


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© The Author(s) 2023. Open access.
This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Except where otherwise noted, this item's licence is described as © The Author(s) 2023. Open access. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).