Individualized models of social judgments and context-dependent representations

Abstract How individuals view the world is critical to understanding human behavior. Yet, almost all research within perception and judgment has drawn inferences from group-level behavior, with little work focused on understanding how the individual perceives their world. However, for complex judgme...

Full description

Saved in:
Bibliographic Details
Main Authors: Daniel N. Albohn, Stefan Uddenberg, Alexander Todorov
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-86056-1
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1823862311237976064
author Daniel N. Albohn
Stefan Uddenberg
Alexander Todorov
author_facet Daniel N. Albohn
Stefan Uddenberg
Alexander Todorov
author_sort Daniel N. Albohn
collection DOAJ
description Abstract How individuals view the world is critical to understanding human behavior. Yet, almost all research within perception and judgment has drawn inferences from group-level behavior, with little work focused on understanding how the individual perceives their world. However, for complex judgments (e.g., trustworthiness), most of the meaningful variance is due to factors specific to the individual. Here we showcase a data-driven reverse correlation method for visualizing any perceptually-derived stereotype at the individual level. We show that our method (1) produces photorealistic and reliable results related to a broad range of judgments, (2) produces valid, psychologically-aligned representations of what individuals are imagining “in their mind’s eye”, and (3) is capable of capturing visual representations sensitive enough to examine context-dependent categories (e.g., a trustworthy individual to babysit your children vs. to fix your car). Across all studies, we highlight the theoretical implications and utility of developing idiosyncratic models of visual perception.
format Article
id doaj-art-7ce8459ea96b4fcab92a6dfbcc40bf9f
institution Kabale University
issn 2045-2322
language English
publishDate 2025-02-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj-art-7ce8459ea96b4fcab92a6dfbcc40bf9f2025-02-09T12:34:03ZengNature PortfolioScientific Reports2045-23222025-02-0115111510.1038/s41598-025-86056-1Individualized models of social judgments and context-dependent representationsDaniel N. Albohn0Stefan Uddenberg1Alexander Todorov2Booth School of Business, University of ChicagoBooth School of Business, University of ChicagoBooth School of Business, University of ChicagoAbstract How individuals view the world is critical to understanding human behavior. Yet, almost all research within perception and judgment has drawn inferences from group-level behavior, with little work focused on understanding how the individual perceives their world. However, for complex judgments (e.g., trustworthiness), most of the meaningful variance is due to factors specific to the individual. Here we showcase a data-driven reverse correlation method for visualizing any perceptually-derived stereotype at the individual level. We show that our method (1) produces photorealistic and reliable results related to a broad range of judgments, (2) produces valid, psychologically-aligned representations of what individuals are imagining “in their mind’s eye”, and (3) is capable of capturing visual representations sensitive enough to examine context-dependent categories (e.g., a trustworthy individual to babysit your children vs. to fix your car). Across all studies, we highlight the theoretical implications and utility of developing idiosyncratic models of visual perception.https://doi.org/10.1038/s41598-025-86056-1Idiosyncratic modelsReverse correlationData-driven methodsGenerative modeling
spellingShingle Daniel N. Albohn
Stefan Uddenberg
Alexander Todorov
Individualized models of social judgments and context-dependent representations
Scientific Reports
Idiosyncratic models
Reverse correlation
Data-driven methods
Generative modeling
title Individualized models of social judgments and context-dependent representations
title_full Individualized models of social judgments and context-dependent representations
title_fullStr Individualized models of social judgments and context-dependent representations
title_full_unstemmed Individualized models of social judgments and context-dependent representations
title_short Individualized models of social judgments and context-dependent representations
title_sort individualized models of social judgments and context dependent representations
topic Idiosyncratic models
Reverse correlation
Data-driven methods
Generative modeling
url https://doi.org/10.1038/s41598-025-86056-1
work_keys_str_mv AT danielnalbohn individualizedmodelsofsocialjudgmentsandcontextdependentrepresentations
AT stefanuddenberg individualizedmodelsofsocialjudgmentsandcontextdependentrepresentations
AT alexandertodorov individualizedmodelsofsocialjudgmentsandcontextdependentrepresentations