Introspective access to value-based multi-attribute choice processes

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.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-04-20
DOI
https://doi.org/10.1038/s41467-025-59080-y
Citations
2
Primary Topic
Decision-Making and Behavioral Economics
Type
article
Field-Weighted Citation Impact
4.54

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Introspective access to value-based multi-attribute choice processes

Adam Morris, Hedy Kober, Molly J. Crockett, Ryan W. Carlson
2 citations
Nature Communications
Decision-Making and Behavioral Economics
4.54
article

Introspective access to value-based multi-attribute choice processes

Adam Morris, Hedy Kober, Molly J. Crockett, Ryan W. Carlson
article en
2 citations

Abstract

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.

Nature CommunicationsVol. 16(1)
Princeton University (US), University of Chicago (US), University of California, Berkeley (US)
John Templeton Foundation, Yale University, Princeton University, National Institutes of Health
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Decision-Making and Behavioral Economics
4.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Introspective access to value-based multi-attribute choice processes — Adam Morris, Hedy Kober, et al. · Nature Communications (2025) | TGRS Research Map | TGRS