A Partition of Small Group Predecision Performance into Informational and Social Components.

Abstract

New theoretical and methodological techniques for partitioning and identifying the sources of performance differences between groups and individuals in hypothesis and act generation tasks are presented in two experiments. Experiment 1 presents a two-component model which separates group performance into informational and social components. The model proposes that the pooling of information in an interacting group (the information component) is mediated by the social factors (e.g., level of arousal, cohesiveness, etc.) which are present in a given situation. Interacting groups were found to be inferior to nominal groups in a hypothesis generation task. Thus, in Experiment 1, the social component was found to have a negative effect on performance. Experiment 2 further partitions the social component into a social information component which accounts for the additional information which becomes available as a result of group interaction and a social, non-informational component which consists of purely social factors. The social information component estimates the synergistic effect of group interaction on information retrieval and problem solving. The social informational component was estimated by including a group of subjects who exchanged ideas (information) via computers but had no social interaction.

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Document Details

Document Type
Technical Report
Publication Date
Aug 30, 1982
Accession Number
ADA120714

Entities

People

  • Charles F. Gettys
  • Jeff T. Casey
  • Rebecca M. Pliske
  • Tom Mehle

Organizations

  • University of Oklahoma

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Applied Psychology
  • Behavioral Sciences
  • Cognition
  • Computer Programs
  • Engineering
  • Human Factors Engineering
  • Information Exchange
  • Information Retrieval
  • Judgment
  • Political Science
  • Psychology
  • Social Psychology
  • Statistics
  • Students
  • Thinking
  • United States

Fields of Study

  • Psychology

Readers

  • Organizational Psychology.
  • Regression Analysis.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML