A User Modelling Approach for Computer-Based Critiquing

Abstract

Theoretical studies and implementations of computer-based critiquing systems indicate that it is desirable to enhance that approach to better support human-computer collaborative effort. A user model will enable these systems to individualize explanations of their advice to provide better support for cooperative problem solving and enhance user learning. User modelling research in advice-giving dialog and intelligent educational systems was studied together with theoretical analyses of the limitations of human-computer interaction, and empirical observations of human-to-human collaborative effort. A framework for a user modelling component fo a critiquing system was developed and implemented in a critic for LISP programs. The user models developed by the system were compared to self-assessment questionnaires completed by subjects learning the LISP language. The analyses indicated a favorable correlation and potential improvements to the framework. The user model is based on the conceptual domain model required for explanations; its semantic structure allows the system to implicitly enrich the user model contents. The significance of this thesis is a framework for a user modelling component that can be used for a more general class of cooperative knowledge-based systems.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1990
Accession Number
ADA224042

Entities

People

  • Thomas W. Mastaglio

Organizations

  • University of Colorado Boulder

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Cyber
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Human-Computer Interaction
  • Information Processing
  • Information Science
  • Information Systems
  • Operating Systems
  • Psychology
  • Software Development
  • Students

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Database Systems and Applications
  • Instructional Design and Training Evaluation.