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Soldier and Small Unit (SSU) Performance and Cognitive Models for Behavior and Decision Making in Constructive Simulation

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911QY-15-P-0246
Agency Tracking Number: A151-067-0718
Amount: $99,996.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A15-067
Solicitation Number: 2015.1
Timeline
Solicitation Year: 2015
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-09-21
Award End Date (Contract End Date): 2016-03-20
Small Business Information
209 West Central Street, Suite 107, Natick, MA, 01760
DUNS: 140767224
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Daniel Rice
 Principal Investigator
 (508) 655-2232
 daniel.rice@tseboston.com
Business Contact
 Hadeer Samaloty
Title: Ms.
Phone: (508) 655-2232
Email: hne@tseboston.com
Research Institution
N/A
Abstract
Operational stressors, such as fatigue, environmental conditions, and information overload, have the potential to significantly degrade Soldier cognitive function and, consequently, reduce the soldier's performance on a given mission. To better understand the impacts these stressors can have on performance, an improved analytical capability based upon existing Army research needs to be developed. To address this need, Technology Solutions Experts Inc. (TSE) proposes to construct the Cognitive Degradation Modeling Toolkit (CDMT), a suite of models and tools that will provide cognitive degradation representations as well as the capability to integrate these representations in Soldier system engineering tools, Soldier and Small Unit (SSU) constructive simulations, and human performance modeling and analysis tools. As the primary developer of the Infantry Warrior Simulation (IWARS), TSE has experience constructing high-fidelity models and integrating them into constructive simulations. Using this expertise, TSE will design, develop, and integrate the CDMT, providing an improved representation of the impact of cognitive stressors on operational performance.

* Information listed above is at the time of submission. *

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