Empirical validation of an automatic usability evaluation method |
| |
| Affiliation: | 1. School of Computing and Mathematics, Charles Sturt University, Albury, NSW 2640, Australia;2. School of Engineering and ICT, University of Tasmania, Newnham, Tasmania 7248, Australia;1. School of Informatics and Computing, Indiana University Purdue University 535 West Michigan St., Indianapolis, IN 46202, USA;2. Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati 781039, India;3. Department of Computer Science, University of British Columbia, Vancouver, BC, Canada V6T 1Z4;4. School of Information Technology Electrical Engineering, University of Queensland, Brisbane QLD 4072 Australia;1. Software Engineering Institute, East China Normal University, Shanghai 200062, China;2. Department of Computer Science, University of Texas at Dallas, Richardson, TX 75080, USA;3. Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai 200062, China |
| |
| Abstract: | Today, the success of a software application strongly depends on the usability of its interface, so the evaluation of interfaces has become a crucial aspect of software engineering. It is recognized that automatic tools for graphical user interface evaluation may greatly reduce the costs of traditional activities performed during expert evaluation or user testing in order to estimate the success probability of an application. However, automatic methods need to be empirically validated in order to prove their effectiveness with respect to the attributes they are supposed to evaluate.In this work, we empirically validate a usability evaluation method conceived to assess consistency aspects of a GUI with no need to analyze the back-end. We demonstrate the validity of the approach by means of a comparative experimental study, where four web sites and a stand-alone interactive application are analyzed and the results compared to those of a human-based usability evaluation. The analysis of the results and the statistical correlation between the tool׳s rating and humans׳ average ratings show that the proposed methodology can indeed be a useful complement to standard techniques of usability evaluation. |
| |
| Keywords: | Interactive systems evaluation Usability engineering Summative usability evaluation |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
