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: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

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	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
ISSN (Print)	2195-4968
ISSN (Electronic)	2195-4976

Conference

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

Bibliographical note

Publisher Copyright:
© 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

DCR graphs
Declarative process models
Modularization
Neurophysiological experiment
Understandability

ASJC Scopus subject areas

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

Access to Document

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).

@inproceedings{9cc70e5dc92744eab12ea2319b8ec98f,

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",

note = "Publisher Copyright: {\textcopyright} 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; Virtual conference NeuroIS Retreat, 2020 ; Conference date: 02-06-2020 Through 04-06-2020",

year = "2020",

doi = "10.1007/978-3-030-60073-0_15",

language = "English",

isbn = "9783030600723",

series = "Lecture Notes in Information Systems and Organisation",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "133--144",

editor = "Davis, {Fred D.} and Ren{\'e} Riedl and {vom Brocke}, Jan and Pierre-Majorique L{\'e}ger and Randolph, {Adriane B.} and Thomas Fischer",

booktitle = "Information Systems and Neuroscience - NeuroIS Retreat 2020",

address = "Germany",

}

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

TY - GEN

T1 - The Impact of Modularization on the Understandability of Declarative Process Models

T2 - Virtual conference NeuroIS Retreat, 2020

AU - Abbad Andaloussi, Amine

AU - Soffer, Pnina

AU - Slaats, Tijs

AU - Burattin, Andrea

AU - Weber, Barbara

PY - 2020

Y1 - 2020

N2 - 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.

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.

KW - DCR graphs

KW - Declarative process models

KW - Modularization

KW - Neurophysiological experiment

KW - Understandability

UR - http://www.scopus.com/inward/record.url?scp=85096538733&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-60073-0_15

DO - 10.1007/978-3-030-60073-0_15

M3 - Conference contribution

AN - SCOPUS:85096538733

SN - 9783030600723

T3 - Lecture Notes in Information Systems and Organisation

SP - 133

EP - 144

BT - Information Systems and Neuroscience - NeuroIS Retreat 2020

A2 - Davis, Fred D.

A2 - Riedl, René

A2 - vom Brocke, Jan

A2 - Léger, Pierre-Majorique

A2 - Randolph, Adriane B.

A2 - Fischer, Thomas

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 2 June 2020 through 4 June 2020

ER -

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 PM, 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: 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

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this