Usage-Based Automatic Detection of Usability Smells

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.
Type de document :
Communication dans un congrès
Stefan Sauer; Cristian Bogdan; Peter Forbrig; Regina Bernhaupt; Marco Winckler. 5th International Conference on Human-Centred Software Engineering (HCSE), Sep 2014, Paderborn, Germany. Springer, Lecture Notes in Computer Science, LNCS-8742, pp.217-234, 2014, Human-Centered Software Engineering. 〈10.1007/978-3-662-44811-3_13〉
Liste complète des métadonnées

Littérature citée [22 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01405078
Contributeur : Hal Ifip <>
Soumis le : mardi 29 novembre 2016 - 14:53:41
Dernière modification le : dimanche 8 avril 2018 - 17:36:11
Document(s) archivé(s) le : lundi 27 mars 2017 - 09:02:07

Fichier

978-3-662-44811-3_13_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Patrick Harms, Jens Grabowski. Usage-Based Automatic Detection of Usability Smells. Stefan Sauer; Cristian Bogdan; Peter Forbrig; Regina Bernhaupt; Marco Winckler. 5th International Conference on Human-Centred Software Engineering (HCSE), Sep 2014, Paderborn, Germany. Springer, Lecture Notes in Computer Science, LNCS-8742, pp.217-234, 2014, Human-Centered Software Engineering. 〈10.1007/978-3-662-44811-3_13〉. 〈hal-01405078〉

Partager

Métriques

Consultations de la notice

172

Téléchargements de fichiers

43