Dialogue-Based Research in Man-Machine Communication

Abstract

This paper first surveys current knowledge of human communication from a point of view which seeks to find or develop knowledge that will be useful to computer system designers. The relevant scientific knowledge is found to be fragmentary and hard for designers to use. Next, the problem of complexity is explored. Building a useful knowledge of human communication is an extremely complex task. Controlling this complexity and its effects, without giving up usefulness, is seen as the central problem in designing a research approach. Finally, a new research methodology is presented. It contains some innovations that help control the complexity of the task, and others that make the results useful to designers. The methodology is unique in that it is based on case analysis rather than functional system design, the results are in the form of individual computer algorithms (much smaller than systems), and the algorithms are transferable into useful (nonresearch) systems.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1975
Accession Number
ADA017681

Entities

People

  • William C. Mann

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • California
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Department Of Defense
  • Information Processing
  • Language
  • Linguistics
  • Natural Language Processing
  • Natural Languages
  • New York
  • Psychology
  • Reliability
  • Semantic Models
  • Test And Evaluation

Fields of Study

  • Computer science
  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Artificial Intelligence
  • Instructional Design and Training Evaluation.