Evidence map›Paper›PMID 35379981›Full record

ArticleNature human behaviour2022

Evidence integration and decision confidence are modulated by stimulus consistency.

Moshe Glickman, Rani Moran, Marius Usher

Abstract read
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In one paragraph

Article in Nature human behaviour, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Incorporation of a Cost of Deliberation Time in Perceptual Decision Making.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Bayesian confidence in optimal decisions.Psychological review · 2024
    Article
  6. Article
  7. Graded decisions in the human brain.Nature communications · 2024
    Article
  8. The Future of Decisions From Experience: Connecting Real-World Decision Problems to Cognitive Processes.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Modelling decision-making biases.Frontiers in computational neuroscience · 2023
    Review
  13. Article
  14. Article
  15. How do (perceptual) distracters distract?PLoS computational biology · 2022
    Article
  16. 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

3 authors.

Moshe GlickmanDepartment of Experimental Psychology, University College London, London, UK. mosheglickman345@gmail.com.ORCID 0000-0002-3792-1992
Rani MoranMax Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK.ORCID 0000-0002-7641-2402
Marius UsherSchool of Psychology, University of Tel Aviv, Tel Aviv, Israel. marius@tauex.tau.ac.il.ORCID 0000-0001-8041-9060

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence integration is a normative algorithm for choosing between alternatives with noisy evidence, which has been successful in accounting for vast amounts of behavioural and neural data. However, this mechanism has been challenged by non-integration heuristics, and tracking decision boundaries has proven elusive. Here we first show that the decision boundaries can be extracted using a model-free behavioural method termed decision classification boundary, which optimizes choice classification based on the accumulated evidence. Using this method, we provide direct support for evidence integration over non-integration heuristics, show that the decision boundaries collapse across time and identify an integration bias whereby incoming evidence is modulated based on its consistency with preceding information. This consistency bias, which is a form of pre-decision confirmation bias, was supported in four cross-domain experiments, showing that choice accuracy and decision confidence are modulated by stimulus consistency. Strikingly, despite its seeming sub-optimality, the consistency bias fosters performance by enhancing robustness to integration noise.

Indexed as

Decision MakingHeuristicsBiasHumans

Identifiers

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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.