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Signal-detection analysis of group decision making.

R D Sorkin1, C J Hays, R West

  • 1Department of Psychology, University of Florida, P.O. Box 112250, Gainesville, Florida 32611, USA. sorkin@ufl.edu

Psychological Review
|February 24, 2001
PubMed
Summary

Group decision-making effectiveness was studied using signal-detection theory. While group performance matched predictions, larger groups showed decreased efficiency due to reduced individual effort, not information-sharing issues.

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Area of Science:

  • Cognitive Psychology
  • Decision Science
  • Human-Computer Interaction

Background:

  • Understanding group decision-making is crucial for optimizing collective performance.
  • Signal-detection theory provides a framework for analyzing binary decisions under uncertainty.

Purpose of the Study:

  • To model and evaluate the effectiveness of group yes-or-no decisions using signal-detection theory.
  • To investigate how group size, member competence, and interaction influence decision efficiency.

Main Methods:

  • Applied signal-detection theory to model group behavior in a visual detection task.
  • Varied group size, member competence, judgment correlation, interaction constraints, and decision rules.
  • Measured performance efficiency against a statistically optimal group benchmark.

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Main Results:

  • Group performance aligned with theoretical predictions from the signal-detection model.
  • Group decision-making efficiency declined significantly as group size increased.
  • This decrease in efficiency was attributed to reduced individual effort, not impaired information integration.

Conclusions:

  • Group size negatively impacts decision-making efficiency, primarily due to diminished individual effort.
  • Signal-detection theory effectively models group performance, highlighting the importance of sustained individual engagement in collective tasks.