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

doi:https://doi.org/10.1007/978-3-030-60073-0_15

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

Department of Information Systems

University of Haifa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	American English
Title of host publication	Information Systems and Neuroscience - NeuroIS Retreat 2020
Editors	Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Thomas Fischer
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	133-144
Number of pages	12
ISBN (Print)	9783030600723
DOIs	https://doi.org/10.1007/978-3-030-60073-0_15
State	Published - 2020
Event	Virtual conference NeuroIS Retreat, 2020 - Vienna, Austria Duration: 2 Jun 2020 → 4 Jun 2020

Publication series

Name	Lecture Notes in Information Systems and Organisation
Volume	43

Conference

Conference	Virtual conference NeuroIS Retreat, 2020
Country/Territory	Austria
City	Vienna
Period	2/06/20 → 4/06/20

Keywords

DCR graphs
Declarative process models
Modularization
Neurophysiological experiment
Understandability

All Science Journal Classification (ASJC) codes

Management Information Systems
Information Systems
Computer Science Applications
Information Systems and Management
Management of Technology and Innovation

Access to Document

https://doi.org/10.1007/978-3-030-60073-0_15

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 F. D. Davis, R. Riedl, J. vom Brocke, P-M. Léger, A. B. Randolph, & T. Fischer (Eds.), Information Systems and Neuroscience - NeuroIS Retreat 2020 (pp. 133-144). (Lecture Notes in Information Systems and Organisation; Vol. 43). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60073-0_15

Abbad Andaloussi, Amine ; Soffer, Pnina ; Slaats, Tijs et al. / The Impact of Modularization on the Understandability of Declarative Process Models : A Research Model. Information Systems and Neuroscience - NeuroIS Retreat 2020. editor / Fred D. Davis ; René Riedl ; Jan vom Brocke ; Pierre-Majorique Léger ; Adriane B. Randolph ; Thomas Fischer. Springer Science and Business Media Deutschland GmbH, 2020. pp. 133-144 (Lecture Notes in Information Systems and Organisation).

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title = "The Impact of Modularization on the Understandability of Declarative Process Models: A Research Model",

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.",

keywords = "DCR graphs, Declarative process models, Modularization, Neurophysiological experiment, Understandability",

author = "{Abbad Andaloussi}, Amine and Pnina Soffer and Tijs Slaats and Andrea Burattin and Barbara Weber",

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doi = "https://doi.org/10.1007/978-3-030-60073-0_15",

language = "American English",

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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 FD Davis, R Riedl, J vom Brocke, P-M Léger, AB Randolph & T Fischer (eds), Information Systems and Neuroscience - NeuroIS Retreat 2020. Lecture Notes in Information Systems and Organisation, vol. 43, Springer Science and Business Media Deutschland GmbH, pp. 133-144, Virtual conference NeuroIS Retreat, 2020, Vienna, Austria, 2/06/20. https://doi.org/10.1007/978-3-030-60073-0_15

The Impact of Modularization on the Understandability of Declarative Process Models: A Research Model. / Abbad Andaloussi, Amine; Soffer, Pnina; Slaats, Tijs et al.
Information Systems and Neuroscience - NeuroIS Retreat 2020. ed. / Fred D. Davis; René Riedl; Jan vom Brocke; Pierre-Majorique Léger; Adriane B. Randolph; Thomas Fischer. Springer Science and Business Media Deutschland GmbH, 2020. p. 133-144 (Lecture Notes in Information Systems and Organisation; Vol. 43).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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SN - 9783030600723

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PB - Springer Science and Business Media Deutschland GmbH

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Abbad Andaloussi A, Soffer P, Slaats T, Burattin A, Weber B. The Impact of Modularization on the Understandability of Declarative Process Models: A Research Model. In Davis FD, Riedl R, vom Brocke J, Léger P-M, Randolph AB, Fischer T, editors, Information Systems and Neuroscience - NeuroIS Retreat 2020. Springer Science and Business Media Deutschland GmbH. 2020. p. 133-144. (Lecture Notes in Information Systems and Organisation). doi: https://doi.org/10.1007/978-3-030-60073-0_15

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

Abstract

Publication series

Conference

Keywords

All Science Journal Classification (ASJC) codes

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