Evidence map›Paper›PMID 40991092›Full record

ArticleCognitive research: principles and implications2025

A recipe for dyadic collective intelligence for well-structured tasks: mix equal parts cognitive ability and confidence plus a pinch of social sensitivity.

Matthew D Blanchard, Eugene Aidman, Lazar Stankov, Sabina Kleitman

Abstract read
In one paragraph

Article in Cognitive research: principles and implications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Matthew D BlanchardSchool of Psychology (A18, Room 440), The University of Sydney, Sydney, NSW, 2006, Australia.ORCID 0000-0001-5557-8617
Eugene AidmanSchool of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia. eugene.aidman@newcastle.edu.au.
Lazar StankovSchool of Psychology (A18, Room 440), The University of Sydney, Sydney, NSW, 2006, Australia.
Sabina KleitmanSchool of Psychology (A18, Room 440), The University of Sydney, Sydney, NSW, 2006, Australia.

Funding

Defence Science and Technology Group ID7276Defence Science and Technology Group ID8052
6 · The paper itself

Abstract

A collective intelligence factor (CI) was introduced by prior research to characterise the cognitive ability of groups. Surprisingly, individual intelligence did not predict CI. Instead, it correlated with individual social sensitivity, the equality of conversational turn-taking, and the proportion of females in a group. However, these findings may depend on the type of tasks completed by groups. Our study re-examined these relationships by (1) testing the robustness of the CI factor in dyads using well-structured tasks guided by the Cattell-Horn-Carroll (CHC) model of intelligence; (2) exploring the relationship between dyadic CI and metacognitive confidence, which is known to influence group processes and outcomes; and (3) identifying the psychological characteristics of distinct dyad types using latent profile analysis. We measured CI in 105 undergraduate dyads using three group tasks aligned with the broad abilities of the CHC model. Individual intelligence was assessed using Raven's Advanced Progressive Matrices. We also measured social sensitivity, proportion of females, equality of turn-taking, working memory, and personality. Results indicated that individual intelligence and confidence were the strongest predictors of dyadic CI for well-structured tasks, contrasting with previous findings emphasising social factors. While we replicated the relationship with social sensitivity, we did not replicate the findings for equality of turn-taking or gender composition. Latent profile analysis identified three psychological profiles: dyads performing consistently high individually and collectively, those performing consistently low, and those performing better collectively than individually. Our "smarter" dyads consisted of intelligent and confident individuals with higher social sensitivity. These findings suggest that, in dyads performing well-structured tasks, individual cognitive abilities and confidence play significant roles in CI. This challenges the emphasis on social factors and underscores the importance of task selection.

Indexed as

Group ProcessesIntelligenceMetacognitionPersonalityAdolescentAdultFemaleHumansMaleYoung AdultCollective intelligenceConfidenceDyadsLatent profile analysisTeamsTwo heads better than one

Identifiers

PMID40991092
PMCPMC12460217

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LicenceCC BY
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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.