Evidence map›Paper›PMID 30104371›Full record

Trial reportProceedings of the National Academy of Sciences of the United States of America2018

How intermittent breaks in interaction improve collective intelligence.

Ethan Bernstein, Jesse Shore, David Lazer

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Trial
  2. Individual incentives that promote collective intelligence.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Blinding to Circumvent Human Biases: Deliberate Ignorance in Humans, Institutions, and Machines.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024
    Article
  6. How networks shape diversity for better or worse.Royal Society open science · 2024
    Article
  7. Article
  8. Multidisciplinary learning through collective performance favors decentralization.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Task complexity moderates group synergy.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  14. Article
  15. Quantifying collective intelligence in human groups.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  16. Article
  17. The diversity bonus in pooling local knowledge about complex problems.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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.

Ethan BernsteinOrganizational Behavior Unit, Harvard Business School, Harvard University, Boston, MA 02163.
Jesse ShoreInformation Systems Department, Questrom School of Business, Boston University, Boston, MA 02215; jccs@bu.edu.ORCID 0000-0003-3812-0262
David LazerDepartment of Political Science, College of Computer and Information Science, Northeastern University, Boston, MA 02115.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People influence each other when they interact to solve problems. Such social influence introduces both benefits (higher average solution quality due to exploitation of existing answers through social learning) and costs (lower maximum solution quality due to a reduction in individual exploration for novel answers) relative to independent problem solving. In contrast to prior work, which has focused on how the presence and network structure of social influence affect performance, here we investigate the effects of time. We show that when social influence is intermittent it provides the benefits of constant social influence without the costs. Human subjects solved the canonical traveling salesperson problem in groups of three, randomized into treatments with constant social influence, intermittent social influence, or no social influence. Groups in the intermittent social-influence treatment found the optimum solution frequently (like groups without influence) but had a high mean performance (like groups with constant influence); they learned from each other, while maintaining a high level of exploration. Solutions improved most on rounds with social influence after a period of separation. We also show that storing subjects' best solutions so that they could be reloaded and possibly modified in subsequent rounds-a ubiquitous feature of personal productivity software-is similar to constant social influence: It increases mean performance but decreases exploration.

Indexed as

Cooperative BehaviorIntelligenceProblem SolvingAdultFemaleHumansMalecollective intelligencesocial influencesocial networks

Identifiers

PMID30104371
PMCPMC6126746

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.