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Quantifying collective intelligence in human groups

delete2021-05-17
delete61
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OA
AI
C
Christoph Riedl *
Y
Young Ji Kim
P
Pranav Gupta
T
Thomas W. Malone
A
Anita Williams Woolley
DOI:10.1073/pnas.2005737118delete
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摘要

摘要

En 中文
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.
Keyword:
collective intelligence
& nbsp
human groups
& nbsp
team performance

期刊

P
Proceedings of the National Academy of Sciences of the United States of America
IF:
9.1
论文数:
10.8W
被引数:
73.5W

机构

U
University of California Santa Barbara
学者数:
1.2W
论文数: 9.6K
被引数: 3.6W
N
Northeastern University
学者数:
2.5W
论文数: 1.6W
被引数: 3.0W
University of California System 封面图
University of California System
学者数:
37.5W
论文数: 33.7W
被引数: 6.6K
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