Modeling Automaticity and Strategy Selection in Dynamic Visual Detection

Abstract

A model of human automaticity in a dynamic visual task (RADAR) is reported. This model represents a first approximation for a model that reproduces the main results from human participants collected by Young, Healy, Gonzalez, and Bourne (2007). The initial results on response time demonstrate high degree of fidelity (R2=0.98) using a process model derived directly from task requirements. The model leverages the ACT-R cognitive architecture (Anderson and Lebiere, 1998) and depends primarily on assumptions that have been imported from previous modeling efforts. The model is an instantiation of a dual-process theory of automaticity that is mediated by a strategy selection stage.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 28, 2007
Accession Number
AD1143194

Entities

People

  • Alice F. Healy
  • Bradley J. Best
  • Cleotilde Gonzalez
  • Lyle E Jr Bourne
  • Michael D Young

Organizations

  • Carnegie Mellon University
  • University of Colorado

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Aircrafts
  • Automatic
  • Cognitive Science
  • Colorado
  • Detection
  • Environment
  • False Alarms
  • Human Behavior
  • Information Processing
  • Motor Skills
  • Production
  • Psychology
  • Targets
  • Training
  • Universities
  • Warning Systems
  • Workload

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.