| Literature DB >> 34001598 |
Christoph Riedl1,2,3,4,5, Young Ji Kim6, Pranav Gupta7, Thomas W Malone4,5, Anita Williams Woolley7.
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.Entities:
Keywords: collective intelligence; human groups; team performance
Mesh:
Year: 2021 PMID: 34001598 PMCID: PMC8166150 DOI: 10.1073/pnas.2005737118
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205