Quantitative Model of Human Dynamic Attention Allocation

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$91,902.00
Award Year:
2007
Program:
STTR
Phase:
Phase I
Contract:
FA9550-07-C-0017
Agency Tracking Number:
F064-003-0507
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
CIRCULAR LOGIC
399 NW 7th Ave, Boca Raton, FL, 33431
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
112211292
Principal Investigator:
Edward Large
Associate Professor
(561) 297-0106
large@ccs.fau.edu
Business Contact:
Michael Stauffer
Vice President
(561) 361-1922
michael@circular-logic.com
Research Institution:
FLORIDA ATLANTIC UNIV.
Gerald Goldberger
777 Glades Rd
Boca Raton, FL, 33431 3343
(561) 297-2312
Nonprofit college or university
Abstract
The objective of this proposal is to demonstrate the feasibility of a quantitative dynamical model of human attention and perception. Recent experimental findings have demonstrated the importance of event timing for perceiving and attending to complex sequences of events: 1) The auditory system uses active temporal mechanisms for analysis of sound from the earliest stages of sensation through the development of integrated high-level percepts; 2) Attention exploits temporal stimulus structure to coordinate perception, cognition and action in a way that is optimal for a given task environment. In both cases, the nervous system exploits nonlinear oscillation to encode and interact with complex stimuli that unfold over time, albeit over different time scales. Analysis and interaction with temporal stimuli via networks of nonlinear oscillators is referred to here as nonlinear time-frequency transformation. This proposal is to develop a nonlinear time-frequency transformation software toolbox, and to evaluate its utility as a model of human attention and perception. Evaluation will include 1) analyses of temporally complex data streams 2) analysis of data streams from multiple sources (spatial locations or perceptual modalities) and 3) production of attentional expenditure estimates for a human confronted with such a data stream in a complex task environment.

* information listed above is at the time of submission.

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