Evidence map›Paper›PMID 39467138›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Individual differences in information demand have a low dimensional structure predicted by some curiosity traits.

Hayley K Jach, Roshan Cools, Alex Frisvold, Michael A Grubb, Catherine A Hartley, Jochen Hartmann, Laura Hunter, Ruonan Jia, Floris P de Lange, Ruby Larisch and 11 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Novelty as a drive of human exploration in complex stochastic environments.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Individual differences in sequential decision-making.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Individual differences in information demand have a low dimensional structure predicted by some curiosity traits.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. 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

21 authors.

Hayley K JachHector Research Institute of Education Sciences and Psychology, University of Tübingen, Tübingen, Baden-Württemberg 72074, Germany.ORCID 0000-0001-6808-8713
Roshan CoolsRadboudumc, Department of Psychiatry & Donders Institute for Brain, Cognition and Behaviour, Nijmegen 6500 HB, The Netherlands.ORCID 0000-0001-8994-5534
Alex FrisvoldPsychology Department, University of Arizona, Tucson, AZ 85721.
Michael A GrubbDepartment of Psychology, Trinity College, Hartford, CT 06106.
Catherine A HartleyDepartment of Psychology, New York University, New York, NY 10003.ORCID 0000-0003-0177-7295
Jochen HartmannHartaki LLC, Brooklyn, NY 11205.
Laura HunterNeuroscience Department, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027.
Ruonan JiaDepartment of Comparative Medicine, Yale School of Medicine, Yale University, New Haven, CT 06519.ORCID 0000-0001-5870-9336
Floris P de LangeDonders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen 6500 HB, The Netherlands.
Ruby LarischDepartment of Comparative Medicine, Yale School of Medicine, Yale University, New Haven, CT 06519.
Rosa Lavelle-HillHector Research Institute of Education Sciences and Psychology, University of Tübingen, Tübingen, Baden-Württemberg 72074, Germany.
Ifat LevyDepartment of Comparative Medicine, Yale School of Medicine, Yale University, New Haven, CT 06519.ORCID 0000-0001-7851-9070
Yutong LiDepartments of Psychiatry, Yale University, New Haven, CT 06511.
Lieke L F van LieshoutDonders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen 6500 HB, The Netherlands.
Kate NussenbaumDepartment of Psychology, New York University, New York, NY 10003.ORCID 0000-0002-7185-6880
Silvio RavaioliDepartment of Economics, Columbia University, New York, NY 10027.
Siyu WangPsychology Department, University of Arizona, Tucson, AZ 85721.ORCID 0000-0002-4278-7468
Robert WilsonPsychology Department, University of Arizona, Tucson, AZ 85721.
Michael WoodfordDepartment of Economics, Columbia University, New York, NY 10027.ORCID 0000-0001-5485-5280
Kou MurayamaHector Research Institute of Education Sciences and Psychology, University of Tübingen, Tübingen, Baden-Württemberg 72074, Germany.
Jacqueline GottliebNeuroscience Department, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027.

Funding

Evaluating the Neurocomputational Mechanisms of Explore-Exploit Decision Making in Older AdultsR01AG061888 · NIA · UNIVERSITY OF ARIZONA · PI WILSON, ROBERT C · 2020 to 2024
$1.8M
Alexander von Humboldt-Stiftung (AvH) N/ANIA NIH HHS R01 AG061888
6 · The paper itself

Abstract

To understand human learning and progress, it is crucial to understand curiosity. But how consistent is curiosity's conception and assessment across scientific research disciplines? We present the results of a large collaborative project assessing the correspondence between curiosity measures in personality psychology and cognitive science. A total of 820 participants completed 15 personality trait measures and 9 cognitive tasks that tested multiple aspects of information demand. We show that shared variance across the cognitive tasks was captured by a dimension reflecting directed (uncertainty-driven) versus random (stochasticity-driven) exploration and individual differences along this axis were significantly and consistently predicted by personality traits. However, the personality metrics that best predicted information demand were not the central curiosity traits of openness to experience, deprivation sensitivity, and joyous exploration, but instead included more peripheral curiosity traits (need for cognition, thrill seeking, and stress tolerance) and measures not traditionally associated with curiosity (extraversion and behavioral inhibition). The results suggest that the umbrella term "curiosity" reflects a constellation of cognitive and emotional processes, only some of which are shared between personality measures and cognitive tasks. The results reflect the distinct methods that are used in these fields, indicating a need for caution in comparing results across fields and for future interdisciplinary collaborations to strengthen our emerging understanding of curiosity.

Indexed as

CognitionExploratory BehaviorIndividualityPersonalityAdultFemaleHumansMaleYoung Adultcuriosityindividual differencesinformation seekingmachine learningpersonality traits

Identifiers

PMID39467138
PMCPMC11551435

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.