Social Language for Synthetic Teammates (SLST)

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$149,951.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-13-M-6441
Award Id:
n/a
Agency Tracking Number:
F131-028-0572
Solicitation Year:
2013
Solicitation Topic Code:
AF131-028
Solicitation Number:
2013.1
Small Business Information
625 Mount Auburn Street, Cambridge, MA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
115243701
Principal Investigator:
PeterWeyhrauch
Principal Scientist
(617) 491-3474
pweyhrauch@cra.com
Business Contact:
MarkFelix
Contracts Manager
(617) 491-3474
mfelix@cra.com
Research Institute:
n/a
Abstract
ABSTRACT: The Air Force is increasingly using text-chat based communications in operational environments, such as operations using Remotely Piloted Aircraft (RPA) and in Air Operations Centers (AOC). Training Airmen for these operations using simulations requires synthetic teammates that understand and use text-chat in a realistic, human-like manner, exhibiting both the strengths and weaknesses of real humans. To address this need, we propose to develop Social Language for Synthetic Teammates (SLST) (pronounced"Celeste"), a set of technologies and tools that enable the rapid and affordable creation of synthetic teammates that understand and generate socio-linguistically realistic text-based language. BENEFIT: We expect the full-scope Social Language for Synthetic Teammates (SLST) to have immediate and tangible benefit to military training programs using simulation and synthetic teammates in domains where text-chat is used. The improved ability to generate realistic chat-text based on social context will both make training more realistic, but also enable new members of the community to efficiently learn the jargon and communications conventions of their new domain. With the SLST technology, Airmen will be better prepared to meet real-world operational challenges. We will enhance Persona, our commercial product for agent authoring, to use more socio-linguistically realistic language, broadening Persona"s commercial appeal and enabling us to serve a wider customer base in the simulation and virtual training markets.

* information listed above is at the time of submission.

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