Online Aiding for Human-Computer Interfaces.

Abstract

Current research is surveyed on interfaces which aid the computer user online. Results show that many online aiding dialogues fall far short of the ultimate goal of helping users with their current problems, while also supporting continued skill acquisition at the computer interface. To address this problem, a task-analytic approach is presented which is based on the GOMS model of human computer interaction. This model will provide an opportunity for usability problems to be identified analytically, as well as to allow assistance and instructional dialogues to be simulated in order to predict improvements due to online aiding. Keywords: Human-computer interaction, Online aiding, Assistance dialogues, Instructional dialogues, Online training, Help systems, Tutorials, Task analysis, Cognitive models.

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Document Details

Document Type
Technical Report
Publication Date
Oct 09, 1987
Accession Number
ADA189239

Entities

People

  • Jay Elkerton

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Cognition
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Computer Science
  • Computers
  • Engineering
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Computer Interaction
  • Human-Computer Interfaces
  • Military Research
  • Natural Languages
  • Operating Systems
  • Psychology
  • Task Performance And Analysis

Fields of Study

  • Computer science

Readers

  • STEM Education
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.