Developing a Cognitive Model of Expert Performance for Ship Navigation Maneuvers in an Intelligent Tutoring System

Abstract

The goal of this project is to develop a cognitive model of expert ship-handling performance. This model was integrated with an intelligent tutoring system and an immersive visual simulation used by the U.S. Navy. This intelligent tutor and expert cognitive model (written in a Java-based version of ACT-R) provides feedback to the student based on the student actions in order to reduce workload on the instructors. The nature of ship navigation and the requirements for the intelligent tutor presented unique challenges for development. This paper describes how the resulting cognitive model balances a need for expert performance while compensating for student error, uses perceptual heuristics when the ACT-R vision module is not feasible, and how these and other issues affected model development. Future plans for system test and evaluation are also discussed in the context of improving training

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2010
Accession Number
ADA553623

Entities

People

  • Jason H. Wong
  • Stanley Peters
  • Susan S. Kirschenbaum

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Cognition
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Computer Programs
  • Computer Science
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Computer Interaction
  • Instructors
  • Navigation
  • Psychology
  • Simulations
  • Students
  • Task Performance And Analysis
  • Test And Evaluation
  • Training
  • Workload

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation