Evidence map›Paper›PMID 34045719›Full record

ArticleNature human behaviour2021

The computational cost of active information sampling before decision-making under uncertainty.

Pierre Petitet, Bahaaeddin Attaallah, Sanjay G Manohar, Masud Husain

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Nature human behaviour, 2021. 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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
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

19 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Effort and salience jointly drive saccade selection.Psychonomic bulletin & review · 2025
    Article
  5. Active information sampling in health and disease.Neuroscience and biobehavioral reviews · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Boosting Serotonin Increases Information Gathering by Reducing Subjective Cognitive Costs.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Cognitive Control as a Multivariate Optimization Problem.Journal of cognitive neuroscience · 2022
    Article
  18. Aversive motivation and cognitive control.Neuroscience and biobehavioral reviews · 2022
    Review
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Pierre PetitetDepartment of Experimental Psychology, University of Oxford, Oxford, UK. pierre.petitet@gmail.com.ORCID http://orcid.org/0000-0003-1422-5326
Bahaaeddin AttaallahNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-7842-7974
Sanjay G ManoharDepartment of Experimental Psychology, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-0735-4349
Masud HusainDepartment of Experimental Psychology, University of Oxford, Oxford, UK. masud.husain@ndcn.ox.ac.uk.ORCID http://orcid.org/0000-0002-6850-9255
University of Oxford · GB

Funding

Medical Research Council MR/P00878/XMedical Research Council MR/V036858/1Wellcome Trust 206330/Z/17/Z
6 · The paper itself

Abstract

Humans often seek information to minimize the pervasive effect of uncertainty on decisions. Current theories explain how much knowledge people should gather before a decision, based on the cost-benefit structure of the problem at hand. Here, we demonstrate that this framework omits a crucial agent-related factor: the cognitive effort expended while collecting information. Using an active sampling model, we unveil a speed-efficiency trade-off whereby more informative samples take longer to find. Crucially, under sufficient time pressure, humans can break this trade-off, sampling both faster and more efficiently. Computational modelling demonstrates the existence of a cost of cognitive effort which, when incorporated into theoretical models, provides a better account of people's behaviour and also relates to self-reported fatigue accumulated during active sampling. Thus, the way people seek knowledge to guide their decisions is shaped not only by task-related costs and benefits, but also crucially by the quantifiable computational costs incurred.

Indexed as

CognitionDecision MakingInformation Seeking BehaviorUncertaintyCost-Benefit AnalysisFemaleHumansMaleModels, Theoretical

Identifiers

PMID34045719
OpenAlexW3162817665

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.