Evidence map›Paper›PMID 31767878›Full record

ArticleScientific reports2019

Effort Perception is Made More Accurate with More Effort and When Cooperating with Slackers.

Paul Ibbotson, Christoph Hauert, Richard Walker

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. People reward others based on their willingness to exert effort.Journal of experimental social psychology · 2025
    Article
  2. Perceiving others' cognitive effort through movement: Path length, speed, and time.Quarterly journal of experimental psychology (2006) · 2024
    Article
  3. 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.

Paul IbbotsonSchool of Education, Childhood Youth and Sport, Open University, Walton Hall, Milton Keynes, MK7 6AA, England. paul.ibbotson@open.ac.uk.
Christoph HauertDepartment of Mathematics, The University of British Columbia, 1984 Mathematics Road, Vancouver, B.C., V6T 1Z2, Canada.
Richard WalkerSchool of Computing and Communications, Open University, Walton Hall, Milton Keynes, MK7 6AA, England.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent research on the conditions that facilitate cooperation is limited by a factor that has yet to be established: the accuracy of effort perception. Accuracy matters because the fitness of cooperative strategies depends not just on being able to perceive others' effort but to perceive their true effort. In an experiment using a novel effort-tracker methodology, we calculate the accuracy of human effort perceptions and show that accuracy is boosted by more absolute effort (regardless of relative effort) and when cooperating with a "slacker" rather than an "altruist". A formal model shows how such an effort-prober strategy is likely to be an adaptive solution because it gives would-be collaborators information on when to abort ventures that are not in their interest and opt for ones that are. This serves as a precautionary measure against systematic exploitation by extortionist strategies and a descent into uncooperativeness. As such, it is likely that humans have a bias to minimize mistakes in effort perception that would commit them to a disadvantageous effort-reward relationship. Overall we find support for the idea that humans have evolved smart effort detection systems that are made more accurate by those contexts most relevant for cooperative tasks.

Indexed as

Cooperative BehaviorPerceptionAltruismHumansReward

Identifiers

PMID31767878
PMCPMC6877554

What OpenQuestion holds

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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.