Data-driven usability test scenario creation

Maikel L. van Eck, Else Markslag, Natalia Sidorova, Angelique Brosens-Kessels, Wil M.P. van der Aalst

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)
    3 Downloads (Pure)


    In this paper, we present a data-driven approach to enable the creation of evidence-based usability test scenarios. By utilising product usage data to create usability test scenarios, we aim to improve the reliability of the test results and to provide better insights into product usability. The approach consists of four elements: the collection of product usage data, the transformation of these data into logs of user activities, the creation of models of user behaviour, and the guided creation of usability test scenarios based on the models. We discuss the challenges that can be encountered when applying this approach based on our experiences with two case studies in product development. We have created a prototype scenario planning tool and performed a preliminary evaluation of the tool with usability engineers working at Philips Healthcare. The evaluation shows that tool-supported evidence-based usability test creation would be valuable in their daily work.

    Original languageEnglish
    Title of host publicationHuman-Centered Software Engineering - 7th IFIP WG 13.2 International Working Conference, HCSE 2018, Revised Selected Papers
    EditorsMarta Kristín Lárusdóttir, Marco Winckler, Kati Kuusinen, Philippe Palanque, Cristian Bogdan
    Place of PublicationCham
    Number of pages21
    ISBN (Electronic)978-3-030-05909-5
    ISBN (Print)978-3-030-05908-8
    Publication statusPublished - 1 Jan 2019
    Event7th International Working Conference on Human-Centered Software Engineering, HCSE 2018 - Sophia Antipolis, France
    Duration: 3 Sep 20185 Sep 2018

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume11262 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Conference7th International Working Conference on Human-Centered Software Engineering, HCSE 2018
    CitySophia Antipolis


    • Data-driven design
    • Process mining
    • Usability testing
    • User-centered design

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