Applied Cognitive Models of Behavior and Errors Patterns

Abstract

This efforts over-arching goal is to study, to model, and to apply predictive markers (indicative behaviors) during medical training, focusing on application of the markers when the learner makes observable decisions (pivotal opportunities). We are investigating the activity patterns that learners exhibit while interacting within learning scenarios. Activity patterns include the timing of decisions, and observations of mouse movements, button clicks, and dwell times. Learning scenarios are situated in training for Emergency Medical Technicians, focusing on the cognitive, perceptual and affective knowledge and skill that is necessary for sizing up an accident or incident scene on first arrival. The effort has two specific aims: 1) Develop training scenarios that present pivotal opportunities and elicit indicative patterns of behavior from learners; 2) Develop computational constraint-based models of indicative patterns. This report summarizes progress and accomplishment toward both aims.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2017
Accession Number
AD1048229

Entities

People

  • Robert E. Wray

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Artificial Intelligence
  • Coding
  • Computer Programs
  • Copyrights
  • Data Analysis
  • Data Mining
  • Digital Data
  • Digital Information
  • Economics
  • Human Factors Engineering
  • Human-Computer Interaction
  • Human-Machine Interaction
  • Identities
  • Institutional Review Board
  • Instructors
  • Intellectual Property
  • Law
  • Machine Learning
  • Mathematics
  • Medical Technicians
  • Metadata
  • Money
  • Notation
  • Operating Systems
  • Psychology
  • Simulations
  • Social Sciences
  • Standards
  • Students
  • System Software
  • Trademarks
  • United States

Readers

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