Evidence map›Paper›PMID 29134281›Full record

ArticlePsychological research2019

Anticipating cognitive effort: roles of perceived error-likelihood and time demands.

Timothy L Dunn, Michael Inzlicht, Evan F Risko

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Article in Psychological research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Trial
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  9. Policy abstraction as a predictor of cognitive effort avoidance.Journal of experimental psychology. General · 2023
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  17. Judgements of effort as a function of post-trial versus post-task elicitation.Quarterly journal of experimental psychology (2006) · 2021
    Article
  18. Article
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  20. Observational
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.

Timothy L DunnLeeds School of Business, University of Colorado Boulder, 995 Regent Dr. Koelbel Building 419 UCB, Boulder, CO, 80309, USA. tim.dunn@colorado.edu.ORCID http://orcid.org/0000-0002-6085-7677
Michael InzlichtDepartment of Psychology, University of Toronto, Toronto, Canada.
Evan F RiskoDepartment of Psychology, Universiy of Waterloo, Waterloo, Canada.

Funding

National Sciences and Engineering Research Council of Canada Discovery Grant
6 · The paper itself

Abstract

Why are some actions evaluated as effortful? In the present set of experiments we address this question by examining individuals' perception of effort when faced with a trade-off between two putative cognitive costs: how much time a task takes vs. how error-prone it is. Specifically, we were interested in whether individuals anticipate engaging in a small amount of hard work (i.e., low time requirement, but high error-likelihood) vs. a large amount of easy work (i.e., high time requirement, but low error-likelihood) as being more effortful. In between-subject designs, Experiments 1 through 3 demonstrated that individuals anticipate options that are high in perceived error-likelihood (yet less time consuming) as more effortful than options that are perceived to be more time consuming (yet low in error-likelihood). Further, when asked to evaluate which of the two tasks was (a) more effortful, (b) more error-prone, and (c) more time consuming, effort-based and error-based choices closely tracked one another, but this was not the case for time-based choices. Utilizing a within-subject design, Experiment 4 demonstrated overall similar pattern of judgments as Experiments 1 through 3. However, both judgments of error-likelihood and time demand similarly predicted effort judgments. Results are discussed within the context of extant accounts of cognitive control, with considerations of how error-likelihood and time demands may independently and conjunctively factor into judgments of cognitive effort.

Indexed as

CognitionJudgmentAdultAgedFemaleHumansMaleMiddle AgedPerceptionProbabilityPsychomotor PerformanceTime FactorsYoung Adult

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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.