Battle Command Teams' Workload, Situational Understanding, and Shared Mental Models at Unit of Employment, Unit of Action, and Combined Arms Battalion Levels

Abstract

This experiment assessed mental model congruence, workload, and situational understanding (SU) for command teams at three levels during an experiment that examined battle command of future forces at the Unit of Action Maneuver Battle Lab at Fort Know, Kentucky. Compared to more subjective measures of workload and SU, objective measures of mental model consequence were low and did not improve as the experiment evolved. This suggests discrepancies between objective and subjective consistent levels of congruence. Because of the nature of the experiment, we are unable to clearly determine whether the inability to develop imp[rove shared mental models of the situation can be attributed to doctrine or to shared understanding of doctrine , training, organization, or battle command tools. Smaller scaled, structured experiments using a well-trained, intact team would enable better measures of workload, SU, and mental model congruence. This in turn would help to determine if organization and technology improved workload, SU, and mental models.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2005
Accession Number
ADA434019

Entities

People

  • Bruce S. Sterling
  • Cheryl A. Burns

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Army Training
  • Cognitive Systems Engineering
  • Command And Control
  • Data Analysis
  • Doctrine
  • Employment
  • Maneuvers
  • Measurement
  • Psychology
  • Simulations
  • Situational Awareness
  • Teamwork
  • Training
  • United States
  • Vehicles
  • Warfare
  • Workload

Readers

  • Computational Modeling and Simulation
  • Military Training and Readiness Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.