Added by Geoff Sauer on Dec 07, 2007.
Average rating: 4.00/5.00 (n=2, std dev: 1.41)
 


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.
 
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Reviews
Evon Johnson Good but can needs more depth
I thought this article was a good read but needed more depth. I would like to see this research extended to larger group sizes and a more diverse test population. Good Work, I'd liked to see more from these authors.

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