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The Impact of Modularization on the Understandability of Declarative Process Models: A Research Model

In: Information Systems and Neuroscience

Author

Listed:
  • Amine Abbad Andaloussi

    (Technical University of Denmark)

  • Pnina Soffer

    (University of Haifa)

  • Tijs Slaats

    (University of Copenhagen)

  • Andrea Burattin

    (Technical University of Denmark)

  • Barbara Weber

    (University of St. Gallen)

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.

Suggested Citation

  • Amine Abbad Andaloussi & Pnina Soffer & Tijs Slaats & Andrea Burattin & Barbara Weber, 2020. "The Impact of Modularization on the Understandability of Declarative Process Models: A Research Model," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph & Thomas (ed.), Information Systems and Neuroscience, pages 133-144, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-60073-0_15
    DOI: 10.1007/978-3-030-60073-0_15
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