Back to Search Start Over

Quantifying collective intelligence in human groups.

Authors :
Riedl, Christoph
Young Ji Kim
Gupta, Pranav
Malone, Thomas W.
Woolley, Anita Williams
Source :
Proceedings of the National Academy of Sciences of the United States of America; 5/25/2021, Vol. 118 Issue 21, p1-5, 5p
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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
118
Issue :
21
Database :
Complementary Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
150551702
Full Text :
https://doi.org/10.1073/pnas.2005737118