Published April 20, 2025
| Version v1
Journal article
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Introspective access to value-based multi-attribute choice processes
- 1. Princeton University
- 2. University of Chicago
- 3. University of California, Berkeley
Description
People routinely choose between options varying on multiple attributes – homes to rent, movies to watch, and so on. Here, we test how much awareness people have of the mental processes underlying these choices. We develop a method to quantify awareness of value-based multi-attribute choice processes that accounts for diverse choice strategies. Across five studies, participants make choices and then report how they believe they made them. We use computational modeling to identify the process revealed in their choices, and compare it to their self-reports to quantify individuals' accuracy about their choice process. While we observe substantial variation in accuracy, participants are often highly accurate about their choice process – more accurate than predicted by a sample of decision scientists – and more accurate than informed third-party observers, suggesting evidence for introspection. These results challenge notions that we are strangers to ourselves and instead suggest that people often know how they made value-based choices.
Data availability
All raw data generated in this study have been deposited in the OSF database accessible here: https://doi.org/10.17605/OSF.IO/TMQJU.
All code used to run the experiments and analyze data in this study have been deposited in the OSF database accessible here: https://doi.org/10.17605/OSF.IO/TMQJU.
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Introspective-access-to-value-based-multi-attribute-choice-processes.pdf
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Additional details
Identifiers
- DOI
- 10.1038/s41467-025-59080-y
- Other
- oai:uchicago.tind.io:14918
Related works
- Cites
- https://doi.org/10.17605/OSF.IO/TMQJU (URL)
Funding
- National Institutes of Health
- Kirschstein-NRSA
- Yale University
- Princeton University
- John Templeton Foundation
- 61495
- John Templeton Foundation
- 62816
- National Institutes of Health
- R01AA029137
- National Institutes of Health
- R01DA042911
- National Institutes of Health
- R01DA043690
- National Institutes of Health
- R34AT009887