Voice Technology Design Guides for Navy Training Systems.

Abstract

This project was directed toward gathering information about applications of automated speech technology (AST) and formulating design guidelines for the use of AST in Navy training systems. Information was obtained from three major sources: a review of the scientific and technical literature; a review of the documentation of prior Navy AST training system prototypes; and interviews with key scientists. Design guidelines for the design and development of AST training systems were presented in four categories: Voice Subsystems; Instructr Models; Simulation and Event Control; and Training System Executive. Computer speech recognition and generation were characterized as rapidly advancing technologies that are ready now for application in automated training systems. A human factors perspective was advanced by emphasizing the importance of the trainee in the design of complex automated training systems. Training effectiveness and user acceptance are objectivea to be sought through careful design of the Voice Subsystem and supporting models and subsystems described in the report. Both complex and simple applications of AST for training were addressed. The emphasis was on complex systems designed to reduce the need for instructors and other training support personnel. This reduction can be accomplished through speech interactive simulation and the automation of performance measurement, curriculum control, record keeping, and instructional presentation.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1983
Accession Number
ADA129145

Entities

People

  • John C. Cotton
  • Michael E. Mccauley

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automated Speech Recognition
  • Computational Science
  • Computer Graphics
  • Computer Programming
  • Computers
  • Consoles
  • Control Systems
  • Data Displays
  • Educational Technology
  • Human Factors Engineering
  • Psychology
  • Students
  • Systems Engineering
  • Task Performance And Analysis
  • Test And Evaluation
  • Trainees

Fields of Study

  • Computer science

Readers

  • Instructional Design and Training Evaluation.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy