Guidance for Designers of Field Artillery Tactical Data Systems

Abstract

This report describes a general approach for developing design concepts for later generation Field Artillery Tactical Data Systems (FATDS) or any remotely controlling military or industrial system. It will help FATDS program development managers to conceptualize the early design process for hybrid and later generation systems. The Concept Design Management Approach described in this report possesses a number of significant features: (1) It conceives of a FATDS as an information processing system with both human and machine components; (2) It incorporates a general cognitive model for guiding the analysis of commanding and monitoring activities; (3) It guards against the adoption of design concepts that fail to meet field requirements during the future target period or that are technologically outmoded by the time the system is fielded; (4) It identifies the judgments that need to be made to develop a FATDS design concept; (5) It identifies the personnel and group processes best suited for making each judgment; (6) It uses multi-attribute utility technology for assigning numeric values to judgments and for aggregating different kinds of judgments. It provides for weighting the various judgments to reflect management interests and concerns; and (7) It specifies trade-off matrices for selecting and improving system design and interface concepts.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA148316

Entities

People

  • John K. Hawley
  • Paul G. Whitmore

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Artillery
  • Behavioral Sciences
  • Cognition
  • Computer-Aided Design
  • Data Processing
  • Diagrams
  • Engineering
  • Environment
  • Human-Machine Interfaces
  • Identification
  • Industrial Plants
  • Information Processing
  • Information Systems
  • Pattern Recognition
  • Personnel Management
  • Social Sciences
  • Tactical Data Systems

Fields of Study

  • Computer science

Readers

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