Critiquing: A Methodology to Extract C2 Expertise

Abstract

The higher a military person goes in the ranks, the sooner the transfer, meaning the commanders who make the highest level decisions have been in a particular assignment the shortest amount of time. To acquire and maintain the maximum level of efficiency and productivity as quickly as possible, the expertise of commanders must be understood so that appropriate decision support can be developed. Cognitive task analysis methods, including knowledge elicitation, can be applied to uncover the information about how a domain practitioner works. Such information on practitioner behavior provides valuable insight and data for incorporation into models used for training and development of automated support. However, knowledge elicitation methods face a number of challenges such as grounding in context, limited accessibility to experts and tasks, being labor intensive and time consuming, and difficulties with repeatability. In this study, a critiquing methodology was investigated in its ability to address these challenges. This baseline study involved a novice intelligence analyst performing a basic analysis task. Then, six experts with various backgrounds critiqued the novice's process. The results suggest that the critiquing method addresses the challenges of knowledge elicitation methods and can be applied to understanding command and control.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2003
Accession Number
ADA467484

Entities

People

  • Janet E. Miller

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Cognitive Systems Engineering
  • Command And Control
  • Data Sets
  • Engineering
  • Engineers
  • Information Systems
  • Intelligence Analysis
  • Military Research
  • Models
  • Psychology
  • Simulations
  • Systems Engineering
  • Task Performance And Analysis
  • Test Facilities

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation

Technology Areas

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