Developing a Predictive Model of Dual Task Performance

Abstract

Predictive models of dual task performance were developed with the cognitive architecture, Atomic Components of Thought- Rational (ACT-R), as well as the Improved Research Integration Tool (IMPRINT). The tasks modeled included a shooting task and a mathematical comprehension task, with the shooting task designated as primary. The models were designed to predict one specific type of error performance during the shooting task; in this study, errors were defined as enemy targets missed (ETM). ETM was defined as an enemy target that "popped up" but was never engaged. Preliminary results have generated ETM predictions via ACT-R and IMPRINT; these results will be validated by future studies.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2003
Accession Number
ADA419431

Entities

People

  • David R. Scribner
  • Troy D. Kelley

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Cognitive Systems Engineering
  • Cognitive Workload
  • Computer Programming
  • Computers
  • Engineering
  • Human-Computer Interaction
  • Lisp Programming Language
  • Military Research
  • Operating Systems
  • Predictive Modeling
  • Programming Languages
  • Psychology
  • Target Signatures
  • Task Performance And Analysis
  • Time Intervals
  • United States
  • Workload

Fields of Study

  • Psychology

Readers

  • Coastal Oceanography
  • Missile Defense Systems.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.