Abstract
In previous research, we have developed an innovative usability evaluation methodology that is based on total effort metrics (TEM). In this paper we present a novel framework for using the TEM approach along with pattern recognition techniques for identifying user interface deficiencies. The methodology, referred to as pinpoint analysis, identifies time segments where the user expends excessive effort in a task-completion interaction-session. The pinpoint analysis methodology provides software engineers with information that can be used for addressing specific usability deficiencies such as poor arrangement of interface elements. The paper describes the new methodology and reports on pattern recognition and TEM based pinpoint analysis tool that is in advanced stages of development. © 2011 Springer-Verlag.
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Tamir, D. E., Komogortsev, O. V., Mueller, C. J., Venkata, D. K. D., LaKomski, G. R., & Jamnagarwala, A. M. (2011). Detection of software usability deficiencies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6770 LNCS, pp. 527–536). https://doi.org/10.1007/978-3-642-21708-1_59
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