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  • Collective intelligence in computer-mediated collaboration emerges in different contexts and cultures

Suggested Citation

Engel, D., Woolley, A. W., Aggarwal, I., Chabris, C. F., Takahashi, M., Nemoto, K., Kaiser, C., Kim, Y. J., & Malone, T. W. (2015). Collective Intelligence in Computer-Mediated Collaboration Emerges in Different Contexts and Cultures. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 3769–3778. https://doi.org/10.1145/2702123.2702259

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Year

2015

Authors
David Engel,
Anita Woolley Woolley,
Ishani Aggarwal,
Ph.D. Christopher F. Chabris,
Masamichi Takahashi,
Keiichi Nemoto,
Dr. Carolin Kaiser,
Ph.D. Young Ji Kim,
Thomas W. Malone
Publication title
Collective intelligence in computer-mediated collaboration emerges in different contexts and cultures
Publication
Peer-reviewed

Collective intelligence in computer-mediated collaboration emerges in different contexts and cultures

Abstract:

Collective intelligence (CI) is a property of groups that emerges from the coordination and collaboration of members and predicts group performance on a wide range of tasks. Previous studies of CI have been conducted with lab-based groups in the USA. We introduce a new standardized online battery to measure CI and demonstrate consistent emergence of a CI factor across three different studies despite broad differences in (a) communication media (face-to-face vs online), (b) group contexts (short-term ad hoc groups vs long-term groups) and (c) cultural settings (US, Germany, and Japan). In two of the studies, we also show that CI is correlated with a group's performance on more complex tasks. Consequently, the CI metric provides a generalizable performance measure for groups that is robust to broad changes in media, context, and culture, making it useful for testing the effects of general-purpose collaboration technologies intended to improve group performance. 

Authors

  • David Engel, Massachusetts Institute of Technology Cambridge, USA
  • Anita Woolley Woolley, Carnegie Mellon University Pittsburgh, USA
  • Ishani Aggarwal, Tilburg University Tilburg, Netherlands
  • Ph.D. Christopher F. Chabris, Union College Schenectady, USA
  • Masamichi Takahashi, Fuji Xerox Co., Ltd. Kanagawa, Japan
  • Keiichi Nemoto, Fuji Xerox Co., Ltd. Kanagawa, Japan
  • Dr. Carolin Kaiser, Head of Artificial Intelligence, NIM, carolin.kaiser@nim.org
  • Ph.D. Young Ji Kim, Massachusetts Institute of Technology Cambridge, USA
  • Thomas W. Malone, Massachusetts Institute of Technology Cambridge, USA

Contact

[Translate to English:]
Dr. Carolin Kaiser

Head of Artificial Intelligence

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