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AWAKE: Adaptive Workspace for Analyst Knowledge&Engagement

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA875-013-C-0101
Agency Tracking Number: O123-AU5-1140
Amount: $150,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: OSD12-AU5
Solicitation Number: 2012.3
Timeline
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-02-28
Award End Date (Contract End Date): 2013-08-28
Small Business Information
12 Gill Street Suite 1400
Woburn, MA -
United States
DUNS: 967259946
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Stacy Pfautz
 Senior Research Engineer
 (781) 935-3966
 spfautz@aptima.com
Business Contact
 Thomas McKenna
Title: Chief Financial Officer
Phone: (781) 935-3966
Email: mckenna@aptima.com
Research Institution
N/A
Abstract

Increasingly there is the need to process large volumes of disparate data containing critical information that needs to be analyzed in a timely, efficient matter. While tools exist to support information search, retrieval and exploitation, these tools do not adequately support the analyst since they lack understanding of the semantics of the information, how the information relates to the analytic task, and how the analyst fuses the information in assessing a situation. Cognitive limitations to analysts"attention and working memory expose them to cognitive biases, and current tools do not provide any help in guarding against analytic vulnerabilities. Aptima and our partners, propose to develop an Adaptive Workspace for Analyst Knowledge and Engagement (AWAKE). AWAKE represents the next generation of cognitive, knowledge-aided analyst support systems that promotes a more effective human-machine partnership so that analysts can focus on what they uniquely do best as humans, and the autonomous system"looks over their shoulder"to provide them cognitive aid. AWAKE will provide a capability for measuring and assessing the analyst"s level of rigor; automatically identify indicators of cognitive biases and vulnerabilities, based on a semantic interpretation of the user"s interactions with the system.; and personalize agents to actively support analysts"activities.

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

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