Evidence for a Collective Intelligence Factor in the Performance of Human Groups

Author:

Woolley Anita Williams1,Chabris Christopher F.23,Pentland Alex34,Hashmi Nada35,Malone Thomas W.35

Affiliation:

1. Carnegie Mellon University, Tepper School of Business, Pittsburgh, PA 15213, USA.

2. Union College, Schenectady, NY 12308, USA.

3. Massachusetts Institute of Technology (MIT) Center for Collective Intelligence, Cambridge, MA 02142, USA.

4. MIT Media Lab, Cambridge, MA 02139, USA.

5. MIT Sloan School of Management, Cambridge, MA 02142, USA.

Abstract

Meeting of Minds The performance of humans across a range of different kinds of cognitive tasks has been encapsulated as a common statistical factor called g or general intelligence factor. What intelligence actually is, is unclear and hotly debated, yet there is a reproducible association of g with performance outcomes, such as income and academic achievement. Woolley et al. (p. 686 , published online 30 September) report a psychometric methodology for quantifying a factor termed “collective intelligence” ( c ), which reflects how well groups perform on a similarly diverse set of group problem-solving tasks. The primary contributors to c appear to be the g factors of the group members, along with a propensity toward social sensitivity—in essence, how well individuals work with others.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference17 articles.

1. The Increasing Dominance of Teams in Production of Knowledge

2. Massively collaborative mathematics

3. J. R. Hackman Leading Teams: Setting the Stage for Great Performances (Harvard Business School Press Boston 2002).

4. I. J. Deary Looking Down on Human Intelligence: From Psychometrics to the Brain (Oxford Univ. Press New York 2000).

5. J. R. Hackman C. G. Morris in Small Groups and Social Interaction Volume 1 H. H. Blumberg A. P. Hare V. Kent M. Davies Eds. (Wiley Chichester UK 1983) pp. 331–345.

Cited by 1605 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3