Usage-based Automatic Detection of Usability Smells

Patrick Harms, Jens Grabowski

Abstract

With an increasing number of supported devices, usability evaluation of websites becomes a laborious task. Therefore, usability evaluation should be automated as far as possible. In this paper, we present a summative method for automated usability evaluation of websites. The approach records user actions and transforms them into task trees. The task trees are then checked for usability smells to identify potential usability issues. The approach was applied in two case studies and shows promising results in the identi cation of four types of usability smells.
Keywords: 
task trees, usage-based, automatic usability evaluation
Document Type: 
Articles in Conference Proceedings
Booktitle: 
Human-Centered Software Engineering: 5th IFIP WG 13.2 International Conference, HCSE 2014, Paderborn, Germany, September 16-18, 2014. Proceedings
Language: 
English
Series: 
LNCS
Address: 
Berlin, Heidelberg
Publisher: 
Springer Berlin Heidelberg
Pages: 
217-234
Year: 
2014
DOI: 
10.1007/978-3-662-44811-3_13
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