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Probabilistic Latent Semantic Analysis of Verbal and Behavioral Data in Dynamic…

Award Information

Department of Defense
Air Force
Award ID:
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Aptima, Inc.
12 Gill Street Suite 1400 Woburn, MA 01801-
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2004
Title: Probabilistic Latent Semantic Analysis of Verbal and Behavioral Data in Dynamic Mission Operations
Agency / Branch: DOD / USAF
Contract: FA8650-04-M-6499
Award Amount: $100,000.00


Recent efforts to automatically assess cognitive state from communications data using Latent Semantic Analysis (LSA) have produced impressive results (Gorman, Foltz, et al., 2003; Freeman, Thompson, and Cohen, 2000). However, these efforts (1) leveraged only the linguistic data available in simulations, not the rich behavioral data (such as maneuvers, sensor use, and weapons use), and (2) they failed to use new advances on the LSA algorithm. We propose to combine linguistic and behavioral data as input to a recently developed, highly robust statistical technique - Probabilistic Latent Semantic Analysis (pLSA) - to assess performance in Distributed Mission Operations. In particular, we propose to develop a model of knowledge and skills associated with F16 and AWACS training. The proposed model will take linguistic and behavioral input in the form of verbal exercise communications and discrete behavioral measures. This integrated linguistic/behavioral model will output assessments of trainee knowledge and skills. It will be the foundation for the development, in Phase II, of a performance assessment module for the DMO entitled DECA2DE: Dynamic Embedded Communication & Action Assessment in Distributed Environments.

Principal Investigator:

Paul Allopenna
Cognitive Scientist

Business Contact:

Margaret J. Clancy
Chief Financial Officer
Small Business Information at Submission:

12 Gill Street, Suite 1400 Woburn, MA 01801

EIN/Tax ID: 043281859
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No