Evidence map›Paper›PMID 34675454›Full record

ArticleCurrent directions in psychological science2021

Decomposing the motivation to exert mental effort.

Amitai Shenhav, Mahalia Prater Fahey, Ivan Grahek

Abstract read
In one paragraph

Article in Current directions in psychological science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. A Hitchhiker's Guide to Physical and Cognitive Effort.Sports medicine (Auckland, N.Z.) · 2026
    Review
  3. Article
  4. Integrating arousal and valence approaches to advance cognitive effort research.Cognitive, affective & behavioral neuroscience · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Reduced relational and item-specific processing in cognitive offloading.Cognitive research: principles and implications · 2025
    Article
  14. Characterizing age-related change in learning the value of cognitive effort.Journal of experimental psychology. General · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  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

3 authors.

Amitai ShenhavDepartment of Cognitive, Linguistic, & Psychological Sciences and Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA.
Mahalia Prater FaheyDepartment of Cognitive, Linguistic, & Psychological Sciences and Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA.
Ivan GrahekDepartment of Cognitive, Linguistic, & Psychological Sciences and Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA.

Funding

Neural and computational mechanisms of motivation and cognitive controlR01MH124849 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI SHENHAV, AMITAI · 2021 to 2025
$2.0M
Computationally modeling the failure of effort to become a secondary reinforcer in schizophreniaR21MH122863 · NIMH · UNIVERSITY OF GEORGIA · PI SHENHAV, AMITAI, STRAUSS, GREGORY P · 2020 to 2020
$441k
NIMH NIH HHS R01 MH124849NIMH NIH HHS R21 MH122863
6 · The paper itself

Abstract

Achieving most goals demands cognitive control, yet people vary widely in their success at meeting these demands. While motivation is known to be fundamental to determining these successes, what determines one's motivation to perform a given task remains poorly understood. Here, we describe recent efforts towards addressing this question using the Expected Value of Control model, which simulates the process by which people weigh the costs and benefits of exerting mental effort. By functionally decomposing this cost-benefit analysis, this model has been used to fill gaps in our understanding of the mechanisms of mental effort and to generate novel predictions about the sources of variability in real-world performance. We discuss the opportunities the model provides for formalizing hypotheses about why people vary in their motivation to perform tasks, as well as for understanding limitations in our ability to test these hypotheses based on a given measure of performance.

Indexed as

achievementcognitive controldecision-makingmotivationpunishmentrewardself-efficacy

Identifiers

PMID34675454
PMCPMC8528169

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.