HPMI: Integrating Systems Engineering and Human Performance Models

Abstract

The Air Force Research Laboratory's Human Performance Model Integration (HPMI) program is exploring the merit and feasibility of combining multiple human performance models and tools to create hybrid models of performance that address application-specific requirements for model fidelity while controlling cost. The first exploration of HPMI feasibility involves development of a human performance model using task network modeling and ACT-R cognitive modeling. Under the Combat Automation Requirements Testbed program, a detailed task network model of strike fighter pilot performance was developed and integrated with a flight simulator. In the initial implementation the task network model managed prioritization of objects and made decisions about the order in which the targets would be examined. This original task network model of prioritization then was replaced with one implemented in ACT-R (Anderson and Lebeire, 1998). The cognitive model provided improved representations of decision-making and memory, as well as confusion and errors committed by humans. We will describe the task domain, model and interface, as well as, an informal verification study that compared the performance of the hybrid model with that of humans.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA430196

Entities

People

  • Bryan Brett
  • Christian Lebiere
  • Edward A. Martin
  • Jeff Doyal
  • Karen Gery

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Case Studies
  • Cognition
  • Cognitive Science
  • Cognitive Workload
  • Computers
  • Engineering
  • Fighter Aircraft
  • Flight Simulators
  • Human Behavior
  • Military Research
  • Motor Skills
  • Psychology
  • Reliability
  • Simulations
  • Systems Engineering

Fields of Study

  • Computer science

Readers

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