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Human Automation Teaming for Efficient Knowledge Extraction and Test Generation

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-23-C-0650
Agency Tracking Number: N23A-T014-0062
Amount: $139,952.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N23A-T014
Solicitation Number: 23.A
Solicitation Year: 2023
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-08-09
Award End Date (Contract End Date): 2024-02-06
Small Business Information
1410 Sachem Place Suite 202
Charlottesville, VA 22901-2559
United States
DUNS: 120839477
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Alec Bateman
 (434) 973-1215
Business Contact
 B. Eugene Parker
Phone: (434) 973-1215
Research Institution
 George Mason University
 Margaret Ewell
4400 University Drive
Fairfax, VA 22030-4422
United States

 (703) 993-2986
 Nonprofit College or University

Effective tools for evaluating the proficiency of warfighters at employing complex systems in an operational setting are essential to ensure operational capability within the Navy and other branches of the DoD. Generating exams with answer keys is a time-consuming process, made more difficult by the complexity of both the systems and the operational employment of those systems.  The burden is further increased when systems are updated frequently.  The proposed software tool will provide a general-purpose capability to efficiently generate test material from technical documents that describe the capabilities of a complex system and the operational employment of that system.  It will enable a person with domain knowledge related to a particular system (but no AI expertise) to effectively team with AI to complete the test generation task vastly more efficiently than would be possible manually, while achieving accuracy and reliability that would be impossible in a fully autonomous system.  The tool will support both updates of existing test questions and answers based on updated source documents, and generation of novel questions specifically targeted at assessing knowledge of new and updated system features and operational procedures.

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

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