Evidence map›Paper›PMID 28406682›Full record

ArticleJournal of experimental psychology. General2017

Overcoming indecision by changing the decision boundary.

Gaurav Malhotra, David S Leslie, Casimir J H Ludwig, Rafal Bogacz

Abstract read
In one paragraph

Article in Journal of experimental psychology. General, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Beta-Blocker Propranolol Modulates Decision Urgency During Sequential Information Gathering.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Trial
  2. Article
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  7. Bayesian confidence in optimal decisions.Psychological review · 2024
    Article
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  16. Optimal models of decision-making in dynamic environments.Current opinion in neurobiology · 2019
    Review
  17. Optimal or not; depends on the task.Psychonomic bulletin & review · 2019
    Article
  18. Review
  19. Article
  20. 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

4 authors.

Gaurav MalhotraSchool of Experimental Psychology, University of Bristol.
David S LeslieDepartment of Mathematics and Statistics, Lancaster University.
Casimir J H LudwigSchool of Experimental Psychology, University of Bristol.ORCID 0000-0003-4656-0751
Rafal BogaczMRC Brain Network Dynamics Unit, University of Oxford.

Funding

Medical Research Council MC_UU_12024/5
6 · The paper itself

Abstract

The dominant theoretical framework for decision making asserts that people make decisions by integrating noisy evidence to a threshold. It has recently been shown that in many ecologically realistic situations, decreasing the decision boundary maximizes the reward available from decisions. However, empirical support for decreasing boundaries in humans is scant. To investigate this problem, we used an ideal observer model to identify the conditions under which participants should change their decision boundaries with time to maximize reward rate. We conducted 6 expanded-judgment experiments that precisely matched the assumptions of this theoretical model. In this paradigm, participants could sample noisy, binary evidence presented sequentially. Blocks of trials were fixed in duration, and each trial was an independent reward opportunity. Participants therefore had to trade off speed (getting as many rewards as possible) against accuracy (sampling more evidence). Having access to the actual evidence samples experienced by participants enabled us to infer the slope of the decision boundary. We found that participants indeed modulated the slope of the decision boundary in the direction predicted by the ideal observer model, although we also observed systematic deviations from optimality. Participants using suboptimal boundaries do so in a robust manner, so that any error in their boundary setting is relatively inexpensive. The use of a normative model provides insight into what variable(s) human decision makers are trying to optimize. Furthermore, this normative model allowed us to choose diagnostic experiments and in doing so we present clear evidence for time-varying boundaries. (PsycINFO Database Record

Indexed as

Models, PsychologicalRewardCognitionDecision MakingHumansJudgmentLearningReaction Time

Identifiers

PMID28406682
PMCPMC5459222

What OpenQuestion holds

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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.