Information Salience

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$100,000.00
Award Year:
2012
Program:
STTR
Phase:
Phase I
Contract:
N00014-12-M-0398
Agency Tracking Number:
O11B-TD1-4008
Solicitation Year:
2011
Solicitation Topic Code:
OSD11-TD1
Solicitation Number:
2011.B
Small Business Information
Adaptive Cognitive Systems
1709 Alpine Ave., Boulder, CO, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
780461989
Principal Investigator:
Bradley Best
Principal Investigator
(303) 359-9133
bjbest@adcogsys.com
Business Contact:
Bradley Best
Managing Partner
(303) 359-9133
bjbest@adcogsys.com
Research Institution:
IHMC
Robert Hoffman
40 South Alcaniz Street
Pensacola, FL, 32502-6008
(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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