A Pragmatic Cognitive System Engineering Approach to Model Dynamic Human Decision-Making Activities in Intelligent and Automated Systems

Abstract

Defence Research and Development Canada, Valcartier, has undertaken Research and Development (R&D) work to provide Canadian warships with a revolutionary decision support capability explicitly designed to make the automation transparent and provide warfighters with effective and trusted decision support. This effort uses cognitive system engineering (CSE) as the essential design framework. CSE approaches are well suited to deal with decision support issues, but in practice are very expensive to conduct, time consuming, and inefficient from a design process perspective. With the latter limitations in mind, a pragmatic CSE approach, known as Applied Cognitive Work Analysis (ACWA), was developed to bridge - in a structured, efficient, and converging way - the gap between cognitive analysis and design. As a result, the cost to conduct CSE analyses using the ACWA approach is reduced and analysis-design efficiency is significantly improved. This makes it easier to identify decision-aiding concepts suited to provide effective decision support. This paper presents a brief overview of CSE analysis methods and their benefits, particularly ACWA. It also presents some lessons learned when using ACWA for a specific project. Specifically, the first three steps of the ACWA approach were used during the initial phase of the ATAC (Advanced Threat Assessment Capability) project for the Canadian Navy. One important requirement for that project was to use a formal modeling and design approach that allowed one to trace back the origin of a specific algorithm development. The ACWA approach in concert with a systematic documentation methodology (FAH and its artifacts) was found to be very useful in the ATAC project, as it provided the means to meet that traceability requirement. (2 tables, 17 refs.)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2003
Accession Number
ADA422253

Entities

People

  • Eloi Bosse
  • Richard Breton
  • Scott S. Potter
  • Stephane Paradis
  • William C. Elm

Organizations

  • DRDC Valcartier

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Automation
  • Battlefields
  • Case Studies
  • Cognition
  • Cognitive Systems Engineering
  • Command And Control
  • Control Systems
  • Decision Support Systems
  • Engineering
  • Environment
  • Identification
  • Information Processing
  • Information Systems
  • Lessons Learned
  • Psychology
  • Task Performance And Analysis

Fields of Study

  • Computer science
  • Engineering

Readers

  • Software Engineering.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.