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

Item Type Conference or Workshop Item (Paper)
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.

Authors Abbad Andaloussi, Amine; Soffer, Pnina; Slaats, Tijs; Burattin, Andrea & Weber, Barbara
Language English
Keywords Modularization, Understandability, Declarative process models, DCR Graphs, Neurophysiological experiments
Subjects computer science
HSG Classification contribution to scientific community
Date 2020
Publisher Springer
Series Name Lecture Notes in Information Systems and Organisation
Event Title Proceedings of NeuroIS Retreat
Contact Email Address barbara.weber@unisg.ch
Additional Information NeuroIS Retreat 2020 ; Conference date: 02-06-2020 Through 04-06-2020
Depositing User Prof. PhD Barbara Weber
Date Deposited 21 Jun 2020 16:59
Last Modified 21 Jun 2020 16:59
URI: https://www.alexandria.unisg.ch/publications/260486

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Citation

Abbad Andaloussi, Amine; Soffer, Pnina; Slaats, Tijs; Burattin, Andrea & Weber, Barbara: The impact of modularization on the understandability of declarative process models: A research model. 2020. - Proceedings of NeuroIS Retreat.

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https://www.alexandria.unisg.ch/id/eprint/260486
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