Applied Cognitive Models of Behavior and Errors Patterns

Abstract

This report summarizes concept development, technology prototyping and a study focused on improving training tools for medical readiness. The effort had two primary aims. First, develop models that express indicative patterns. An indicative pattern is a pattern of learner behavior that is predictive/indicative of learner state (e.g., "correct" and error behaviors). Second, evaluate the ability of the models to recognize indicative patterns in training scenarios, especially at pivotal opportunities. A pivotal opportunity is a point at which a learner decision/choice results in different outcomes/directions in the training. We describe the pursuit of three complementary tasks in pursuit of these aims: 1)developing medical training scenarios that support detection of indicative patterns for learner decisions, 2) evaluating indicators that may be apt candidates for supporting medical training, and 3) implementing various methods/processes that could be used to capture indicative patterns in a manner that is both inexpensive and non-intrusive to the learner. This report summarizes progress and accomplishment toward both aims over the entire period of performance.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2018
Accession Number
AD1087103

Entities

People

  • Kim Stowers
  • Robert Wray

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Science
  • Cognitive Systems Engineering
  • Computer Science
  • Computers
  • Data Analysis
  • Data Mining
  • Health Services
  • Human Factors Engineering
  • Human-Computer Interaction
  • Human-Machine Interaction
  • Information Science
  • Machine Learning
  • Psychology
  • Statistical Analysis
  • Students
  • United States

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Instructional Design and Training Evaluation.
  • Manufacturing Engineering.