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 Problem:
- Accident precursors are complex interactions of latent error in a system design or procedure
(and dynamic interactions of design, human operation and environment)
- Difficult to observe rare error and error precursors in aviation environment
- Design cycle (design, build, evaluate, field, revise) is difficult, expensive, and time-consuming
Approach:
- Identify scenarios with high probability of human error
- Identify/model precursors to errors
- Assess technological and procedural solutions via development of computational models of scenarios and candidate solutions
Goal:
Develop modeling capabilities to:
- Test potential mitigation strategies
- Forecast likely pilot performance based on current knowledge of human cognition and perception
Current Efforts
The approach for FY 01 - FY 04 is to develop predictive capabilities to identify likely error vulnerabilities in human-system operations and develop human-error assessment methodologies that allow system designs and procedures to be analyzed for error susceptibility. The modeling efforts are currently focusing on approach and landing scenarios with augmented displays such as Synthetic Vision Systems. These methodologies will be validated in human-in-the-loop simulation.
Currently Funded Human Performance Models Include:
- Air-MIDAS
(Air - Man-Machine Integrated Design & Analysis System)
Brian Gore / Kevin Corker, HAIL Lab, San Jose State University
- D-OMAR
(Operator Model Architecture)
Steve Deutsch / Dick Pew, BBN Technologies
- ACT-R/PM
(Adaptive Control of Thought-Rational / Perceptual Motor)
Alex Kirlik, University of Illinois
Mike Byrne, Rice University
- A/SA
(Attention / Situational Awareness Model)
Chris Wickens, University of Illinois
- IMPRINT / ACT-R
(Improved Perfromance Research Integration Tool)
Christien Lebiere, Carnegie Mellon University
Rick Archer, Micro Analysis & Design
- CATS
(Crew Activity Tracking System)
Todd Callentine, San Jose State University / NASA ARC
Go to: Human Performance Modeling Publications Available for Download
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