Evidence map›Paper›PMID 40937510›Full record

ArticleeLife2025

Policy shaping based on the learned preferences of others accounts for risky decision-making under social observation.

HeeYoung Seon, Dongil Chung

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

HeeYoung SeonDepartment of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.ORCID https://orcid.org/0000-0001-8620-7835
Dongil ChungDepartment of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.ORCID https://orcid.org/0000-0003-1999-0326

Funding

Korea Brain Research Institute 24-BR-03-08National Research Foundation of Korea RS-2024-00420674
6 · The paper itself

Abstract

Observing others' choices influences individuals' decisions, often leading them to follow others. However, it is repeatedly reported that being observed by others tends to make people act more riskily. We hypothesized that this discrepancy arises from individuals' belief that others prefer riskier choices than they do. To examine this hypothesis, we used a gambling task where on some trials, individuals were informed that their choices would be observed by a risk-averse or seeking partner. Most important, individuals were given chances to learn each partner's preference beforehand. As expected, individuals initially believed that partners would make relatively riskier choices than they would. Against two alternative explanations, we found that individuals simulated partners' choices and weighed these simulated choices in making their own choices. Using functional magnetic resonance imaging, we showed that decision probabilities adjusted with the simulated partners' choices were represented in the temporoparietal junction (TPJ). Moreover, individual differences in the functional connectivity between the TPJ and the dorsomedial prefrontal cortex (dmPFC) were explained by the interaction between model-estimated social reliance and sensitivity to social cues in the dmPFC. These findings provide a neuromechanistic account of how being observed by others affects individuals' decision-making, highlighting the roles of the dmPFC and TPJ in simulating social contexts based on individuals' beliefs.

Indexed as

Choice BehaviorDecision MakingRisk-TakingAdultFemaleHumansMagnetic Resonance ImagingMalePrefrontal CortexYoung Adultbeliefcomputational modelingdecision-makingfMRIhumanneurosciencesimulation of others' choicessocial influence

Identifiers

PMID40937510
PMCPMC12431773

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.