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Theory of intelligent collectives: An experimental physiological approach to group decision-making

  • Megan McKoy(corresponding author)
    ,
  • S. Spitler
    ,
  • Kelsey Zuchegno
    ,
  • E. Taylor
    ,
  • K. C. Hewitt
    ,
  • John Shallcross
*Corresponding author for this work
Scholary Output:
Chapter in Book/Report/Conference proceeding
Chapter

Abstract

We review our theory of robust intelligence (RI) for groups. We examine the quality of decisions by groups in the laboratory under either majority rule (MR) or consensus rule (CR). Theoretically, engagement in decision-making becomes a factor depending on whether an individual is in a group or in competition between groups. From earlier research, measures of engagement in three-person groups included selfreports, counts of utterances during discussions, and changes in electro-dermal activity (i.e., galvanic skin responses, or GSR). We predicted engagement (number of utterances) would be greater under CR than MR; under MR, we predicted that GSRs would be greater (more attention). Based on partial analyses, participants under CR spoke significantly more often during discussions than MR. As predicted, after de-trending GSR data, we found MR produced higher GSRs and shorter discussions. Our recent work in group size has increased to five participants working on Wason Selection Tasks.

Publication Information

Output type

Scholary Output:
Chapter in Book/Report/Conference proceeding
Chapter

Original language

English (US)

Pages from-to (Number of pages)

Pages 188-204 (17 pages)

Publication milestones

  • Published - 07/07/2015

Publication status

Published - 07/07/2015

Publisher

IGI Global
1466683686, 9781466683686

ISBN (Electronic)

9781466683693

Publication IDs

  • Scopus: 84955102713

Host publication title

Improving Organizational Effectiveness with Enterprise Information Systems

Publication metrics

Metrics

SciVal
Author count
15
SciVal
Paper percentile
23
Fractional count
3
Fractional count
0.20
Fractional count
12
Fractional count
0.80
Fractional count
3
Fractional count
1