The effectiveness of groups recognizing patterns

Authors:
Stephen C. Hayne;C. A. P. Smith;Dan Turk
Affiliations:
College of Business, Colorado State University, Fort Collins, CO;College of Business, Colorado State University, Fort Collins, CO;College of Business, Colorado State University, Fort Collins, CO
Venue:
International Journal of Human-Computer Studies
Year:
2003

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Abstract

An experiment was conducted in which groups made resource allocation decisions while physically dispersed and supported with a shared virtual work surface (What You See Is What I See--WYSIWIS). The task required groups to recognize patterns of information and collaborate to allocate their resources appropriately. The experimental treatment involved the use of a tool specifically designed to minimize the cognitive effort required to recognize and share patterns among group members. Dependent measures included outcome quality, time-to-decision, consensus of pattern recognition, and the number of resource allocation moves required to reach consensus. All groups received significant financial rewards in direct proportion to their outcome quality. Groups supported with the patternsharing tool had significantly higher outcome quality and significantly less resource movements. These results extend the theory of Recognition-Primed Decision-Making by applying it to groups.