Interactive Man-Machine Communication.

Abstract

A framework for the design and interpretation of experiments in man-computer interaction is described. The results of experiments utilizing the system-user behaviro monitoring capability developed under this research are given, and specific design guidelines presented. AUTOGRP, an automated system for clustering data to produce decision information was used in the context of problems in medical decision-making in the experiments. A tutorial language, HELP, was developed to aid in the experiments and is described in the report. This language can be used to develop tutorial assistance for any interactive use of computers.

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1972
Accession Number
AD0740101

Entities

People

  • James H. Carlisle

Organizations

  • Yale University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Clustering
  • Computers
  • Control Systems
  • Language

Fields of Study

  • Computer science

Readers

  • Computer Science.
  • Medical or Health Care Field.
  • Speech Processing/Speech Recognition.