Modeling Culturally Accurate Behavior via Multiplayer Game Environments

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$750,000.00
Award Year:
2008
Program:
SBIR
Phase:
Phase II
Contract:
W91WAW-08-C-0053
Agency Tracking Number:
O063-CR2-2078
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
CHI SYSTEMS, INC.
1035 Virginia Drive, Suite 300, Fort Washington, PA, 19034
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
161162995
Principal Investigator:
Wayne Zachary
Principal Investigator
(215) 542-1400
wzachary@chisystems.com
Business Contact:
Phillip Rollhauser
Director of Contracts
(215) 542-1400
prollhauser@chisystems.com
Research Institution:
n/a
Abstract
Military simulations involving non-player characters (NPCs) representing non-US cultures are becoming increasingly important for training and mission rehearsal. However, creating culturally-realistic behaviors for these characters remains a technical challenge due to the lack of a clear standard or process for creating behaviors that are consistent with a given culture. This effort proposes a solution to the problem via a set of tools, called CulturePad, that allow cultural behaviors to be captured and empirically abstracted and modeled in such a way that the resulting abstraction can be used to efficiently create more accurate models of the cultural behaviors of non-US NPCs. The Phase II effort centers around four primary objectives: Design and implement CulturePad system for behavioral recording, analysis, and modeling; conduct experiments to evaluate role-play features with regard to key risks identified in Phase I; Conduct empirical assessments of CulturePad usability and life-cycle costs, and training effectiveness; and plan and promote transition to Army training users and other transition opportunities. The CulturePad concept is based on a generative narrative representation which has been shown to hold validity as a method of capturing cultural knowledge and a feasible way of generating realistic behaviors for computer-generated synthetic agents.

* information listed above is at the time of submission.

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