The Impact of Modularization on the Understandability of Declarative Process Models: A Research Model
Journal
Lecture Notes in Information Systems and Organisation, Information Systems and Neuroscience (NeuroIS)
ISSN
2195-4976
Type
conference paper
Date Issued
2020
Author(s)
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.
Publisher
Springer International Publishing