Back to Search Start Over

Quantifying collective intelligence in human groups.

Authors :
Riedl C
Kim YJ
Gupta P
Malone TW
Woolley AW
Source :
Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2021 May 25; Vol. 118 (21).
Publication Year :
2021

Abstract

Collective intelligence (CI) is critical to solving many scientific, business, and other problems, but groups often fail to achieve it. Here, we analyze data on group performance from 22 studies, including 5,279 individuals in 1,356 groups. Our results support the conclusion that a robust CI factor characterizes a group's ability to work together across a diverse set of tasks. We further show that CI is predicted by the proportion of women in the group, mediated by average social perceptiveness of group members, and that it predicts performance on various out-of-sample criterion tasks. We also find that, overall, group collaboration process is more important in predicting CI than the skill of individual members.<br />Competing Interests: The authors declare no competing interest.

Details

Language :
English
ISSN :
1091-6490
Volume :
118
Issue :
21
Database :
MEDLINE
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
34001598
Full Text :
https://doi.org/10.1073/pnas.2005737118