Understandability of Hybrid Process Models Using DCR Graphs

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

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Abstract

While the understandability of process models has been extensively investigated for different process modeling notations, it has not been yet broadened to cover hybrid models. This paper proposes a new research model to investigate the understandability of hybrid model representations using a variety of psycho-physiological measurements including eye tracking and galvanic skin response (GSR) together with verbal data analysis. The aim of this research is to ensure a smooth integration
of hybrid modelling technologies in public administrations by investigating the way end-users (i.e., case workers) rely on the different parts of the hybrid process model representation in DCR Graphs, i.e., the graph, the textual annotations describing the law, and the simulation tools to interpret the process model.
Original languageEnglish
Title of host publicationProceedings of 30th International Conference on Advanced Information Systems Engineering
Number of pages7
Publication date2018
Publication statusPublished - 2018
Event30th International Conference on Advanced Information Systems Engineering - Viru väljak 4, Tallinn, Estonia
Duration: 11 Jun 201815 Jun 2018

Conference

Conference30th International Conference on Advanced Information Systems Engineering
LocationViru väljak 4
CountryEstonia
CityTallinn
Period11/06/201815/06/2018

Bibliographical note

https://caise2018.ut.ee/sessions/ecoknow-workshop/

Cite this

Abbad Andaloussi, A., Slaats, T., Burattin, A., Hildebrandt, T. T., & Weber, B. (2018). Understandability of Hybrid Process Models Using DCR Graphs. In Proceedings of 30th International Conference on Advanced Information Systems Engineering