The impact of modularization on the understandability of declarative process models: A research model

Amine Abbad Andaloussi, Pnina Soffer, Tijs Slaats, Andrea Burattin, Barbara Weber

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Abstract

Process models provide a blueprint for process execution and an indispensable tool for process management. Bearing in mind their trending use for requirement elicitation, communication and improvement of business processes, the need for understandable process models becomes a must. In this paper, we propose a research model to investigate the impact of modularization on the understandability of declarative process models. We design a controlled experiment supported by eye-tracking, electroencephalography (EEG) and galvanic skin response (GSR) to appraise the understandability of hierarchical process models through measures such as comprehension accuracy, response time, attention, cognitive load and cognitive integration.
Original languageEnglish
Title of host publicationProceedings of NeuroIS Retreat
Number of pages13
Publication date2020
Publication statusPublished - 2020
EventNeuroIS Retreat 2020 - Virtual
Duration: 2 Jun 20204 Jun 2020

Conference

ConferenceNeuroIS Retreat 2020
LocationVirtual
Period02/06/202004/06/2020
SeriesLecture Notes in Information Systems and Organisation
ISSN2195-4968

Keywords

  • Modularization
  • Understandability
  • Declarative process models
  • DCR Graphs
  • Neurophysiological experiments

Cite this

Abbad Andaloussi, A., Soffer, P., Slaats, T., Burattin, A., & Weber, B. (2020). The impact of modularization on the understandability of declarative process models: A research model. In Proceedings of NeuroIS Retreat Lecture Notes in Information Systems and Organisation