http://tc.eserver.org/authors/Gilbert,_Juan_E.,_Andrea_Williams,_and_Cheryl_D._Seals A bibliography of works by Gilbert, Juan E., Andrea Williams, and Cheryl D. Seals in the field of technical communication. en-us Copyright (c) 2005-08 by the EServer. All rights reserved. tclib-editorial@eserver.org (TC Library Editorial Board) webmaster@eserver.org (Geoffrey Sauer) http://tc.eserver.org/images/newlogo.gif http://tc.eserver.org/dir/Gilbert,_Juan_E.,_Andrea_Williams,_and_Cheryl_D._Seals http://tc.eserver.org/30436.html http://tc.eserver.org/30436.html User satisfaction and usefulness are measured using usability studies that involve real customers. Given the nature of software development and delivery, having to conduct usability studies can become a costly expense in the overall budget. A major part of this expense is the participant costs. Under this condition, it is desirable to reduce the number of participants without sacrificing the quality of the experiment. If a company could use a smaller participant pool and get the same results as the entire pool; this would result in significant savings. Given a participant pool of size N, is there a subset of N that would yield the same results as the entire population? This research addresses this question using a data-mining clustering tool called Applications Quest.