How Do Experts Make Sense of Integrated Process Models?

Tianwa Chen; Barbara Weber; Graeme Shanks; Gianluca Demartini; Marta Indulska; Shazia Sadiq

doi:10.1007/978-3-031-94571-7_1

How Do Experts Make Sense of Integrated Process Models?

Tianwa Chen, Barbara Weber, Graeme Shanks, Gianluca Demartini, Marta Indulska Shazia Sadiq

Advanced Information Systems Engineering: 37th International Conference, CAiSE 2025, Vienna, Austria, June 16–20, 2025, Proceedings, Part II, pp.3-19

International Conference on Advanced Information Systems Engineering (CAiSE), 37th (Vienna, Austria, 16-Jun-2025–20-Jun-2025)

Lecture Notes in Computer Science, 15702, Springer

2025

: https://doi.org/10.1007/978-3-031-94571-7_1

Information systems

Business process management

business process modeling

Cued-Retrospective Think-Aloud

sensemaking

eye tracking

A range of integrated modeling approaches have been developed to enable a holistic representation of business process logic together with all relevant business rules. These approaches address inherent problems with separate documentation of business process models and business rules. In this study, we explore how expert process workers make sense of the information provided through such integrated modeling approaches. To do so, we complement verbal protocol analysis with eye-tracking metrics to reveal nuanced user behaviours involved in the main phases of sensemaking, namely information foraging and information processing. By studying expert process workers engaged in tasks based on integrated modeling of business processes and rules, we provide insights that pave the way for a better understanding of sensemaking practices and improved development of business process and business rule integration approaches. Our research underscores the importance of offering personalized support mechanisms that increase the efficacy and efficiency of sensemaking practices for process knowledge workers.

: How Do Experts Make Sense of Integrated Process Models?
: Tianwa Chen (Corresponding Author) - The University of Queensland
Barbara Weber (Author) - University of St.Gallen
Graeme Shanks (Author) - The University of Melbourne
Gianluca Demartini (Author) - The University of Queensland
Marta Indulska (Author) - The University of Queensland
Shazia Sadiq (Author) - The University of Queensland
: John Krogstie (Editor) - Norwegian University of Science and Technology
Stefanie Rinderle-Ma (Editor) - Technical University of Munich
Gerti Kappel (Editor) - TU Wien
Henderik A Proper (Editor) - TU Wien
: Advanced Information Systems Engineering: 37th International Conference, CAiSE 2025, Vienna, Austria, June 16–20, 2025, Proceedings, Part II, pp.3-19
: International Conference on Advanced Information Systems Engineering (CAiSE), 37th (Vienna, Austria, 16-Jun-2025–20-Jun-2025)
: Lecture Notes in Computer Science; 15702
: Springer
: 2025
: 10.1007/978-3-031-94571-7_1; 10.1007/978-3-031-94571-7
: 1611-3349
: PBIAS: A Principled Approach to Data Bias Management in Data Pipelines, FT240100022, Australian Research Council (Australia, Canberra) - ARC
ARC Training Centre for Information Resilience, IC200100022, Australian Research Council (Australia, Canberra) - ARC
: School of Science, Technology and Engineering
: English
: 991239796002621
: Conference paper