You are here

The Software Therapist: Usability Problem Diagnosis Throught Latent Semantic Analysis

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-04-C-0057
Agency Tracking Number: F033-0047
Amount: $740,937.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: AF03T001
Solicitation Number: N/A
Timeline
Solicitation Year: 2003
Award Year: 2004
Award Start Date (Proposal Award Date): 2004-06-14
Award End Date (Contract End Date): 2006-06-14
Small Business Information
4940 Pearl East Circle, Suite 200
Boulder, CO 80301
United States
DUNS: 043412936
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Darrell Laham
 Chief Technology Officer
 (303) 545-9092
 dlaham@k-a-t.com
Business Contact
 Thomas Landauer
Title: President
Phone: (303) 545-9092
Email: landauer@k-a-t.com
Research Institution
 Virginia Polytechnic Institute
 David W Richardson
 
306 Collegiate Square, 460 Turner Street
Blacksburg, VA 24060
United States

 (540) 231-5281
 Nonprofit College or University
Abstract

We propose an unprecedented suite of Usability Engineering software tools to be built upon the conceptual foundation of Virginia Tech's User Action Framework (UAF). We will use K-A-T's proprietary Latent Semantic Analysis (LSA) methods and software tools to validate and refine the UAF. We will also use LSA as the underlying analysis engine for the software tools, which will provide support for problem reporting, usability problem extraction, analysis, diagnosis, plus links to related literature and prescriptive solutions. Building upon Phase I tool prototypes, commercial grade development of the suite is proposed for Phase II. The major research thrust is exploration of LSA techniques for free text analysis, trained on the literature of Usability Engineering and a significant library of usability problem reports, to validate and tune the taxonomic structure and content of the UAF. Because no standardized vocabulary exists for usability engineering, simple keyword methods cannot reliably classify problem reports. In contrast, LSA can provide highly reliable measures of semantic similarity between texts even when there is no keyword overlap. In Phase II we will evaluate the developed software tools in usability labs and courses at Virginia Tech, the US Air Force Academy, and commercial software development operations.

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

US Flag An Official Website of the United States Government