Usage-Based Automatic Detection of Usability Smells

2014 | conference paper. A publication with affiliation to the University of Göttingen.

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​Usage-Based Automatic Detection of Usability Smells​
Harms, P.   & Grabowski, J. ​ (2014)
In:Sauer, S.; Bogdan, C.; Forbrig, P; Bernhaupt, R.; Winckler, M.​ (Eds.), ​Human-Centered Software Engineering. 5th IFIP WG 13.2 International Conference, HCSE 2014, Paderborn, Germany, September 16-18, 2014. Proceedings pp. 217​-234. ​5th International Conference on Human-Centred Software Engineering (HCSE)​, Paderborn, Germany.
Berlin, Heidelberg​: Springer. DOI: https://doi.org/10.1007/978-3-662-44811-3_13 

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Authors
Harms, Patrick ; Grabowski, Jens 
Editors
Sauer, S.; Bogdan, C.; Forbrig, P; Bernhaupt, R.; Winckler, M.
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 identification of four types of usability smells.
Issue Date
2014
Publisher
Springer
Conference
5th International Conference on Human-Centred Software Engineering (HCSE)
Series
Lecture Notes in Computer Science 
ISBN
978-3-642-38708-1
978-3-642-38709-8
Conference Place
Paderborn, Germany
Event start
2014-09-16
Event end
2014-09-18
ISSN
0302-9743; 1611-3349
Language
English

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