HEMETS - Human Error Modeling for Error Tolerant Systems

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$449,179.00
Award Year:
2005
Program:
SBIR
Phase:
Phase II
Contract:
N00014-05-C-0140
Award Id:
65024
Agency Tracking Number:
N031-0221
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1000 Technology Drive Suite 3220, Fairmont, WV, 26554
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
115804903
Principal Investigator:
Michael Fotta
Principal Investigator
(304) 363-6757
mike.fotta@dnamerican.com
Business Contact:
Beth Gribble
VP - Finance
(304) 363-6757
beth.gribble@dnamerican.com
Research Institution:
n/a
Abstract
D.N. American proposes the development of a Human Error Modeling tool for Error Tolerant Systems (HEMETS) which will simulate human performance on complex systems in order to provide system designers with information on what aspects of their design are likely to lead to human error. Furthermore, HEMETS will provide recommendations to the designers so they can improve their design in order to eliminate, or at least reduce the effects of, such errors. HEMETS builds upon a well established computational cognitive architecture, (ACT-R) and, utilizing an analysis of research in human errors, establishes a cognitive architecture for human error modeling - the Human Error Modeling Architecture (HEMA). In order to enable HEMETS to assess a wide variety of designs HEMETS provides a HEMA System Interface (HEMA SI). This will support communication between HEMA and a simulated system user interface at the level of the visual display, allowing HEMETS to function with most prototype user interfaces for proposed systems. The recommendations for the system designers will be provided in the form of an automated Model of Human Error Prediction (MHEP). The MHEP will be based on an analysis of the needs of system designers and apply the team's expertise in cognition, perception and human factors to provide feedback in a form conducive to improving a system design. The MHEP will be of a form comparable to the explanatory subsystems of expert systems.

* information listed above is at the time of submission.

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