Representing Entity Actions and Cue Taxonomies (REACT)

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$70,000.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
W911QY-06-C-0011
Award Id:
74060
Agency Tracking Number:
A052-187-2076
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
12 Gill Street, Suite 1400, Woburn, MA, 01801
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
967259946
Principal Investigator:
Kevin Gildea
Human Factors Psychologist
(781) 496-2400
kgildea@aptima.com
Business Contact:
Margaret Clancy
Chief Financial Officer
(781) 496-2415
clancy@aptima.com
Research Institute:
n/a
Abstract
A major requirement for effective weapon system evaluation, construct development, and training in constructive simulations is the ability to adequately represent behaviors in response to suppressive fire during urban combat. Current simulations lack adequate representation of the behavioral effects of suppressive fire as well as methods for using available data to quickly update these representations to reflect current realities. We propose to address the need for realistic, flexible, easy-to-update representations by designing and prototyping a framework for Representing Entity Actions and Cue Taxonomies (REACT). Our human centric approach is characterized by a formal knowledge elicitation process, which will identify the requirements for modeling and simulation, including a schema for categorizing suppression cues and their associated behaviors. We will then focus on identifying candidate information sources and framework modules that will provide an enhanced representation of the role of suppression in decision making and performance. Finally, we will prototype a conceptual model, which will focus on incorporating perceptual, cognitive, and behavioral inputs, and a system for populating and including the framework in the IWARS. We will utilize experts within our team to develop the REACT framework, populate it with realistic data, and review its potential to support other DoD simulations.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government