Information Salience

Award Information
Agency:
Department of Defense
Amount:
$99,841.00
Program:
STTR
Contract:
N00014-12-M-0396
Solitcitation Year:
2011
Solicitation Number:
2011.B
Branch:
Navy
Award Year:
2012
Phase:
Phase I
Agency Tracking Number:
O11B-TD1-4004
Solicitation Topic Code:
OSD11-TD1
Small Business Information
Discerning Technologies, LLC
302 Washington St., Suite 630, San Diego, CA, 92103-2110
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
962759143
Principal Investigator
 Joseph Lappin
 Co-Founder&COO
 (941) 323-5489
 JSL@DiscernTek.com
Business Contact
 R. Templeton
Title: Co-Founder&CEO
Phone: (619) 297-7311
Email: RMT@DiscernTek.com
Research Institution
 Vanderbilt University
 John Childress
 2301 Vanderbilt Place
PMB 407749
Nashville, TN, 37235-7749
 (615) 322-3977
 Nonprofit college or university
Abstract
The Department of Defense has growing needs to identify and understand methods for determining information value as a basis for future decision support systems. Understanding how humans process information, determine salience, and combine seemingly unrelated information is essential to automated processing of large amounts of information that is partially relevant or of unknown relevance. Recent research on human perception and cognition, along with research in information science regarding context-based modeling, provides us with a theoretical basis for developing automated systems for managing large amounts of information and enhancing the human recognition of salient information and facilitating its use by human planners and decision makers. A formalized representation of human perception and cognition is a first step toward the goal of bridging from cognitive science to computer science in this multi-disciplinary research topic. Once this is accomplished, it should be tractable to apply information contextual models and other techniques leading to development of generalized models and subsequent automation of human cognition-like processes. This STTR Phase I effort will focus on the development of an empirical and then a mathematical framework for representing human perception and cognition, and the correlation of empirical and mathematical approaches using a representative data set.

* information listed above is at the time of submission.

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