Evidence map›Paper›PMID 38877287›Full record

ArticleNature human behaviour2024

Comparing experience- and description-based economic preferences across 11 countries.

Hernán Anlló, Sophie Bavard, FatimaEzzahra Benmarrakchi, Darla Bonagura, Fabien Cerrotti, Mirona Cicue, Maelle Gueguen, Eugenio José Guzmán, Dzerassa Kadieva, Maiko Kobayashi and 17 more

Erratum issuedAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Nature human behaviour, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors.

Hernán AnllóHuman Reinforcement Learning Team, Laboratory of Cognitive and Computational Neuroscience, Paris, France. hernan.anllo@cri-paris.org.ORCID http://orcid.org/0000-0002-1663-1881
Sophie BavardHuman Reinforcement Learning Team, Laboratory of Cognitive and Computational Neuroscience, Paris, France.ORCID http://orcid.org/0000-0002-9283-2976
FatimaEzzahra BenmarrakchiIntercultural Cognitive Network, Paris, France.ORCID http://orcid.org/0000-0002-1127-0669
Darla BonaguraIntercultural Cognitive Network, Paris, France.
Fabien CerrottiHuman Reinforcement Learning Team, Laboratory of Cognitive and Computational Neuroscience, Paris, France.
Mirona CicueDepartment of Cognitive Sciences, University of Haifa, Haifa, Israel.
Maelle GueguenIntercultural Cognitive Network, Paris, France.ORCID http://orcid.org/0000-0002-4045-5881
Eugenio José GuzmánFacultad de Psicología, Universidad del Desarrollo, Santiago de Chile, Chile.ORCID http://orcid.org/0000-0002-4364-0011
Dzerassa KadievaInternational Laboratory for Social Neurobiology, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia.ORCID http://orcid.org/0009-0006-7848-596X
Maiko KobayashiFaculty of Science and Engineering, Waseda University, Tokyo, Japan.
Gafari LukumonSchool of Collective Intelligence, Université Mohammed VI Polytechnique, Rabat, Morocco.
Marco SartorioLaboratorio de Neurociencia, Universidad Torcuato Di Tella, Buenos Aires, Argentina.
Jiong YangSchool of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China.ORCID http://orcid.org/0000-0001-7055-6459
Oksana ZinchenkoIntercultural Cognitive Network, Paris, France.ORCID http://orcid.org/0000-0002-7976-3224
Bahador BahramiIntercultural Cognitive Network, Paris, France.ORCID http://orcid.org/0000-0003-0802-5328
Jaime Silva ConchaIntercultural Cognitive Network, Paris, France.ORCID http://orcid.org/0000-0002-6405-9760
Uri HertzIntercultural Cognitive Network, Paris, France.ORCID http://orcid.org/0000-0003-4852-3516
Anna B KonovaIntercultural Cognitive Network, Paris, France.
Jian LiIntercultural Cognitive Network, Paris, France.ORCID http://orcid.org/0000-0002-3941-2622
Cathal O'MadagainIntercultural Cognitive Network, Paris, France.ORCID http://orcid.org/0000-0002-4086-524X
Joaquin NavajasIntercultural Cognitive Network, Paris, France.
Gabriel ReyesIntercultural Cognitive Network, Paris, France.ORCID http://orcid.org/0000-0002-3915-1119
Atiye Sarabi-JamabIntercultural Cognitive Network, Paris, France.
Anna ShestakovaIntercultural Cognitive Network, Paris, France.ORCID http://orcid.org/0000-0001-9374-9878
Bhasi SukumaranIntercultural Cognitive Network, Paris, France.ORCID http://orcid.org/0000-0001-8128-3804
Katsumi WatanabeFaculty of Science and Engineering, Waseda University, Tokyo, Japan.ORCID http://orcid.org/0000-0003-1282-9994
Stefano PalminteriHuman Reinforcement Learning Team, Laboratory of Cognitive and Computational Neuroscience, Paris, France. stefano.palminteri@ens.fr.ORCID http://orcid.org/0000-0001-5768-6646

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 101043804
6 · The paper itself

Abstract

Recent evidence indicates that reward value encoding in humans is highly context dependent, leading to suboptimal decisions in some cases, but whether this computational constraint on valuation is a shared feature of human cognition remains unknown. Here we studied the behaviour of n = 561 individuals from 11 countries of markedly different socioeconomic and cultural makeup. Our findings show that context sensitivity was present in all 11 countries. Suboptimal decisions generated by context manipulation were not explained by risk aversion, as estimated through a separate description-based choice task (that is, lotteries) consisting of matched decision offers. Conversely, risk aversion significantly differed across countries. Overall, our findings suggest that context-dependent reward value encoding is a feature of human cognition that remains consistently present across different countries, as opposed to description-based decision-making, which is more permeable to cultural factors.

Indexed as

Choice BehaviorCross-Cultural ComparisonDecision MakingRewardAdultFemaleHumansMaleYoung Adult

Identifiers

PMID38877287

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.