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

Autor: Abbad Andaloussi, Amine, Soffer, Pnina, Slaats, Tijs, Burattin, Andrea, Weber, Barbara
Přispěvatelé: Davis, Fred D., Riedl, René, vom Brocke, Jan, Léger, Pierre-Majorique, Randolph, Adriane B., Fischer, Thomas
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: 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 F D Davis, R Riedl, J vom Brocke, P-M Léger, A B Randolph & T Fischer (eds), Information Systems and Neuroscience-NeuroIS Retreat 2020 . Springer, Lecture Notes in Information Systems and Organisation, vol. 43, pp. 133-144, Virtual conference NeuroIS Retreat, 2020, Vienna, Austria, 02/06/2020 . https://doi.org/10.1007/978-3-030-60073-0_15
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 . Springer, Lecture Notes in Information Systems and Organisation, NeuroIS Retreat 2020, 02/06/2020 .
DOI: 10.1007/978-3-030-60073-0_15
Popis: 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.
Databáze: OpenAIRE
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