Evaluating the Understandability of Hybrid Process Model Representations Using Eye Tracking: First Insights

Amine Abbad Andaloussi*, Tijs Slaats, Andrea Burattin, Thomas T. Hildebrandt, Barbara Weber

*Corresponding author for this work
    6 Citations (Scopus)

    Abstract

    The EcoKnow project strives to promote flexible case management systems in the public administration and empower end-users (i.e., case workers) to make sense of digitized models of the law. For this, a hybrid representation combining the declarative DCR notation with textual annotations depicting the law text and a simulation tool to simulate the execution of single process instances was proposed. This hybrid representation aims to overcome the notorious limitations of existing declarative notations in term of understandability. Using eye tracking, this paper investigates how users engage with the different artifacts of the hybrid representation.

    Original languageEnglish
    Title of host publicationBusiness Process Management Workshops - BPM 2018 International Workshops, Revised Papers
    EditorsFlorian Daniel, Quan Z. Sheng, Hamid Motahari
    Number of pages7
    PublisherSpringer
    Publication date2019
    Pages475-481
    ISBN (Print)9783030116408
    DOIs
    Publication statusPublished - 2019
    Event16th International Conference on Business Process Management, BPM 2018 - Sydney, Australia
    Duration: 9 Sept 201814 Sept 2018

    Conference

    Conference16th International Conference on Business Process Management, BPM 2018
    Country/TerritoryAustralia
    CitySydney
    Period09/09/201814/09/2018
    SeriesLecture Notes in Business Information Processing
    Volume342
    ISSN1865-1348

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