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

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

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
EditorsFlorian Daniel, Quan Z. Sheng, Hamid Motahari
Number of pages7
PublisherSpringer
Publication date2019
Pages475-481
ISBN (Print)978-3-030-11640-8
DOIs
Publication statusPublished - 2019
Event16th International Conference on Business Process Management - University of Technology in Sydney, Sydney, Australia
Duration: 9 Sep 201814 Sep 2018
Conference number: 16
http://bpm2018.web.cse.unsw.edu.au/

Conference

Conference16th International Conference on Business Process Management
Number16
LocationUniversity of Technology in Sydney
CountryAustralia
CitySydney
Period09/09/201814/09/2018
Internet address
SeriesLecture Notes in Business Information Processing
Volume342
ISSN1865-1348

Cite this

Abbad Andaloussi, A., Slaats, T., Burattin, A., Hildebrandt, T. T., & Weber, B. (2019). Evaluating the Understandability of Hybrid Process Model Representations Using Eye Tracking: First Insights. In F. Daniel, Q. Z. Sheng, & H. Motahari (Eds.), Business Process Management Workshops (pp. 475-481). Springer. Lecture Notes in Business Information Processing, Vol.. 342 https://doi.org/10.1007/978-3-030-11641-5_37