Responses of Decision Making Teams to Adaptive Architectures: A Final Report

Abstract

The research reported here is part of a larger project designed to develop, assess and understand adaptive structures for command and control teams. Much of that project, the A2C2 project, uses a simulated command and control exercise (the Distributed Dynamic Decision-making Simulation (DDD)) and naval personnel who perform experimental exercises presented to them under controlled conditions. Our research is designed to focus on human behaviors relevant to the A2C2 project that cannot be sufficiently assessed in the simulation. Specifically, the effort reported here involved adapting the DDD exercise for use with large numbers of teams and to compare individual and team performance across these teams. The research assessed the impact of different team architectures, situational demands and team composition on the performance and adaptability of teams on the command and control exercise. An appendix to this report lists products produced during the funding period with citations to articles and presentations for the interested reader.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2000
Accession Number
ADA376833

Entities

People

  • Daniel R. Ilgen
  • John R. Hollenbeck

Organizations

  • Michigan State University

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Applied Psychology
  • Command And Control
  • Command And Control Systems
  • Computer Simulations
  • Control Simulators
  • Control Systems
  • Detection
  • Geographic Regions
  • Group Dynamics
  • Health Care
  • Human Behavior
  • Mathematical Models
  • Psychology
  • Simulations
  • Social Psychology
  • Theses

Readers

  • Military Training and Readiness Simulation
  • Organizational Process Management (OPM).
  • Technical Research and Report Writing.

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control