Identifying and Capturing the Cognitive Demands Imposed by New Systems

Award Information
Agency:
Department of Defense
Branch
Office of the Secretary of Defense
Amount:
$99,954.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
F33615-03-M-6305
Award Id:
61346
Agency Tracking Number:
O022-0172
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
12 Gill Street, Suite 1400, Woburn, MA, 01801
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
967259946
Principal Investigator:
Gavan Lintern
Senior Scientist
(781) 496-2428
lintern@aptima.com
Business Contact:
Margaret Clancy
Chief Financial Officer
(781) 496-2415
clancy@aptima.com
Research Institution:
n/a
Abstract
"The fast pace of technological change has pushed military procurement into a design environment in which traditional evolutionary design methods no longer satisfy the need to take advantage of the new functionality that is now emerging. No aspect of thisnew demand is more taxing than the design for human participation. A more systematic, human-oriented approach is needed to elicit and define the cognitive requirements associated with new systems. For knowledge acquisition, we will draw on the methods andtools developed for Cognitive Work Analysis, which constitutes a set of methodologies for acquisition and representation of the domain and subject matter knowledge essential to the design of complex, distributed socio-technical systems. The proposed methodwill move the design of complex multi-person human-machine systems from an ad hoc process that is largely based on heuristics toward a more systematic, scientific process based on analysis and modeling. Furthermore, there is no systematic well-defined"bridge" between knowledge elicitation techniques and constructive simulation models. A goal of the proposed effort is to build this bridge by creating a systematic approach, with a supporting tool suite, for translating the products of our cognitiverequirements analyses into a format compatible with that required for our quantitative model. A tool that can support design of human-system integration requirements for complex, large-scale

* information listed above is at the time of submission.

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