Measurement Methods for Human Performance in Command and Control Simulation Experiments

Abstract

The U.S. Army's proposed Future Combat System of Systems (FCS) will include automated Command and Control (C2) capabilities that will allow tactical commanders, assisted by a small command group, to effectively lead a future force composed of large numbers of manned and robotic elements. This paper describes research conducted by the U.S. Army Research Institute (ARI) to develop measurement methods to enhance the existing Human Functional Analysis (HFA) approach (Sanders, Lickteig, 2002) for estimating human performance requirements associated with FCS C2 design concepts. Measurement techniques are demonstrated that can address C2 human performance requirements through the evaluation of verbal communications, Human-Computer Interaction (HCI) behavior events, and subjective survey data. Specifically, automated word count, and task-time estimation methods were applied to existing HFA data sets to provide estimates of the frequency and time duration of verbal communications for individual members of the FCS C2 command group, and task time estimates for all HCI actions. Data gathered in a series of U.S. Army battle simulation experiments were reanalyzed to demonstrate how the new methods can provide estimates of human performance that support decisions regarding workload, task allocation. and training requirements.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2003
Accession Number
ADA413273

Entities

People

  • William R. Sanders

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Army Personnel
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Command And Control
  • Data Sets
  • Digital Information
  • Functional Analysis
  • Human-Computer Interaction
  • Measurement
  • Military Research
  • Motor Skills
  • Simulations
  • Social Sciences
  • Target Recognition
  • Test And Evaluation
  • Time Intervals
  • Training

Readers

  • Instructional Design and Training Evaluation.
  • Life Cycle Cost Analysis
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Fully Networked C3
  • Fully Networked C3 - Command and Control