Game-based Architecture for Mentor-Enhanced Training Environments (GAMETE)

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$149,643.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
W911QX-12-C-0104
Award Id:
n/a
Agency Tracking Number:
A121-025-0540
Solicitation Year:
2012
Solicitation Topic Code:
A12-025
Solicitation Number:
2012.1
Small Business Information
1035 Virginia Drive, Suite 300, Fo, PA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
161162995
Principal Investigator:
Benjamin Bell
Principal Investigator
(215) 542-1400
bbell@chisystems.com
Business Contact:
John Vecere
Manager of Contracts
(215) 542-1400
jvecere@chisystems.com
Research Institution:
Stub




Abstract
The widespread use of serious games for military training has been accompanied by a growing concern that too little attention is paid to the underlying instructional design or pedagogical theory. Even in objective-driven game design, serious games with cognitive learning objectives can lack effective, customized performance feedback. Tutoring systems, such as AutoTutor, create opportunities for learners to elaborate on answers they have given in response to a tutor"s questions, prompts for information, suggestions for actions, etc. AutoTutor for instance has an animated conversation agent and a dialog management facility that attempts to comprehend the learner's inputs and to appropriately respond. One way to incorporate performance feedback in serious games is to embed a tutoring system with similar functionality into the virtual environment. Specifically, the animated conversation agent would become an in-game character who interacts with the user. CHI Systems, a small business innovator in simulation and game-based training, proposes the Game-based Architecture for Mentor-Enhanced Training Environments (GAMETE), an instructionally sound interface architecture and modular interactive tutor-game framework for pairing games with tutoring technologies. We will demonstrate GAMETE through two initial exemplars (AutoTutor and a widely-used game engine) in a Soldier-relevant training domain, and illustrate the general applicability of this framework.

* information listed above is at the time of submission.

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