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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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

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 Sep 201814 Sep 2018

Conference

Conference16th International Conference on Business Process Management, BPM 2018
LandAustralia
BySydney
Periode09/09/201814/09/2018
SeriesLecture Notes in Business Information Processing
Volume342
ISSN1865-1348

ID: 214134255