Automated Diagnosis of Usability Problems Using Statistical Computational Methods

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$523,000.00
Award Year:
2004
Program:
STTR
Phase:
Phase II
Contract:
FA9550-04-C-0053
Agency Tracking Number:
F033-0311
Solicitation Year:
2003
Solicitation Topic Code:
AF03T001
Solicitation Number:
n/a
Small Business Information
APTIMA, INC.
12 Gill Street, Suite 1400, Woburn, MA, 01801
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
967259946
Principal Investigator:
Jared Freeman
Principal Cognitive Scientist
(202) 842-1548
freeman@aptima.com
Business Contact:
Margaret Clancy
Chief Financial Officer
(781) 496-2424
clancy@aptima.com
Research Institution:
University of Massachusetts
Carol P Sprague
Office of Contract Admin, 408 Goodell, 140 Hicks W
Amherst, MA, 01003
(413) 545-0698
Nonprofit college or university
Abstract
Poorly designed software and hardware systems are inconvenient at best; at worst, they are deadly. Usability evaluation techniques are designed to detect the potential for disasters and inefficiencies in poorly designed software. However, usability analyses are prone to failure due to conflicting usability frameworks, incomplete usability reports, and inadequate analysis tools. Aptima and the Center for Intelligent Information Retrieval (UMass Amherst) have partnered to develop AutoDiag, an Automated Diagnosis System of Usability Problem Reports, and bundle it with a digital video screen capture application and a data logging application. Aptima will integrate these to create UPDATE, a Usability Problem Data Analysis Technology. The system will consist of an interface to elicit better usability reports, a text analysis engine that classifies these reports (or existing usability reports), and an analysis interface for diagnosing usability faults and identifying trends. The proposed effort builds on Phase I progress, which includes: development of a usability taxonomy by practicing usability professionals, application of that taxonomy to usability reports, competitive evaluation of text classifiers, and conceptual design of UPDATE. The proposed team consists of Aptima, a leading human-centered engineering firm, and the Center for Intelligent Information Retrieval, the pre-eminent laboratory for text classification research.

* information listed above is at the time of submission.

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