Instructor Model Characteristics for Automated Speech Technology (IMCAST).

Abstract

This report examines the training characteristics of the Ground Controlled Approach (GCA) radar controller, the Landing Signal Officer (LSO) and the Air Intercept Controller (AIC). The expert and novice, in respect to these three tasks are contrasted in terms of their relative skills. The novice is characterized as a controlled serial-processing system, unable to effectively perform in a concurrent task environment wherein the tasks compete for the same pool of central resources. The expert on the other hand, is characterized as a resource efficient system capable of preprocessing and automatic responding. Several areas of basic research are reviewed in search of a set of technologies with which an instructor model, resident in an automated speech-recognition based training system, might be designed. Research in cognitive processing limitations and components are examined in some depth along with recent developments in intelligent knowledge-based computer assisted instruction (CAI). The result is an outline of the characteristics of a prototype instructor model.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1979
Accession Number
ADA079902

Entities

People

  • Charles F. Gidcumb
  • Douglas C. Chatfield
  • Philip H. Marshall

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Electronic Warfare
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Artificial Intelligence
  • Automated Speech Recognition
  • Cognition
  • Cognitive Science
  • Computational Science
  • Computer Programming
  • Geography
  • Information Processing
  • Motor Skills
  • Organizational Structure
  • Personnel Management
  • Psychology
  • Reasoning
  • Students
  • Task Performance And Analysis

Readers

  • Artificial Intelligence
  • Aviation Science / Aeronautics.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML