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Information Salience

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-12-M-0398
Agency Tracking Number: O11B-TD1-4008
Amount: $100,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: OSD11-TD1
Solicitation Number: 2011.B
Timeline
Solicitation Year: 2011
Award Year: 2012
Award Start Date (Proposal Award Date): 2012-06-25
Award End Date (Contract End Date): N/A
Small Business Information
1709 Alpine Ave.
Boulder, CO -
United States
DUNS: 780461989
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Bradley Best
 Principal Investigator
 (303) 359-9133
 bjbest@adcogsys.com
Business Contact
 Bradley Best
Title: Managing Partner
Phone: (303) 359-9133
Email: bjbest@adcogsys.com
Research Institution
 IHMC
 Robert Hoffman
 
40 South Alcaniz Street
Pensacola, FL 32502-6008
United States

 (850) 202-4418
 Domestic Nonprofit Research Organization
Abstract

A subtle and often unrecognized assumption lies behind the use of the terms salience and perception when they appear in the context of human information processing. Although it has become commonplace to blend the language of low-level physiological process with the language of high-level cognition, there is a substantive theoretical step to be taken before we can claim that, for instance, the ability to notice a blinking light or to pick out a single voice in the crowded room is somehow continuous with the ability to sense the attitude of an airplane from only instrument readings or see a changing battlefield dynamic given the visual clutter of the plan view display of a common operating picture. A significant research opportunity exists to make the relationship between low-level perception and high-level information processing explicit and quantifiable. To do this we propose to reconcile a leading-edge theory of human perception in complex work environments with the process-level mechanisms of the state-of-the art cognitive modeling architecture. Specifically, we will establish a formal mapping between the constructs of Wickens SEEV statistical model of perception and select generative structures of ACT-R, an executable, computational theory of cognition.

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

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