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An Experimental Study of Intuitive Representations of Process Task Annotations

Title data

Fichtner, Myriel ; Fichtner, Urs A. ; Jablonski, Stefan:
An Experimental Study of Intuitive Representations of Process Task Annotations.
In: Sellami, Mohamed ; Ceravolo, Paolo ; Reijers, Hajo A. ; Gaaloul, Walid ; Panetto, Hervé (ed.): Cooperative Information Systems : CoopIS 2022, Proceedings. - Cham : Springer , 2022 . - pp. 311-321 . - (Lecture Notes in Computer Science ; 13591 )
ISBN 978-3-031-17834-4
DOI: https://doi.org/10.1007/978-3-031-17834-4_19

Abstract in another language

Business process modeling languages support enterprises in visualizing workflows in a graphical representation. Many studies provide recommendations about which modeling language to choose and how to represent models in terms of usability. However, there is no support in how to present detailed instructions regarding the execution of process tasks. We denote such instructions as task annotations which have to be considered during process execution to ensure process success. Integrating this information in an understandable way into process models is challenging and has not been sufficiently researched. This paper describes a novel study to address how task annotations can be presented in process models intuitively. In an experimental setup, we compare different representation formats for different task settings and evaluate them regarding the aspects effectiveness, mental efficiency and satisfaction. We found empirical support that image- and diagram-based representations are intuitively comprehensible across all task settings regardless of the user’s level of experience or education. Furthermore, we could statistically prove inferiority of textual task annotations.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Business process modeling; Intuitiveness; Process model comprehensibility; Understandability; Task representation formats
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV > Chair Applied Computer Science IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 28 Sep 2022 08:37
Last Modified: 28 Sep 2022 08:37
URI: https://eref.uni-bayreuth.de/id/eprint/72182