DocumentCode
265910
Title
How many participants are really enough for usability studies?
Author
AlRoobaea, Roobaea ; Mayhew, Pam J.
Author_Institution
Coll. of Comput. & Inf. Technol., Taif Univ., Ta´if, Saudi Arabia
fYear
2014
fDate
27-29 Aug. 2014
Firstpage
48
Lastpage
56
Abstract
The growth of the Internet and related technologies has enabled the development of a new breed of dynamic websites, applications and software products that are growing rapidly in use and that have had a great impact on many businesses. These technologies need to be continuously evaluated by usability evaluation methods (UEMs) to measure their efficiency and effectiveness, to assess user satisfaction, and ultimately to improve their quality. However, estimating the sample sizes for these methods has become the source of considerable debate at usability conferences. This paper aims to determine an appropriate sample size through empirical studies on the social network and educational domains by employing three types of UEM; it also examines further the impact of sample size on the findings of usability tests. Moreover, this paper quantifies the sample size required for the Domain Specific-to-context Inspection (DSI) method, which itself is developed through an adaptive framework. The results show that there is no certain number of participants for finding all usability problems; however, the rule of 16 4 users gains much validity in user testing. The magic number of five evaluators fails to find 80% of problems in heuristic evaluation, whereas three evaluators are enough to find 91% of usability problems in the DSI method.
Keywords
Internet; Web sites; program testing; software reusability; DSI method; Internet; UEM; domain specific-to-context inspection method; dynamic Websites; educational domains; social network; software products; usability evaluation methods; user testing; Computers; Educational institutions; Estimation; Human computer interaction; Social network services; Testing; Usability; Domain Specific Inspection (DSI); Heuristic evaluation (HE); User Testing (UT); methodological framework; sample size;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Information Conference (SAI), 2014
Conference_Location
London
Print_ISBN
978-0-9893-1933-1
Type
conf
DOI
10.1109/SAI.2014.6918171
Filename
6918171
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