Conference paper · Book chapter
The impact of modularization on the understandability of declarative process models: A research model
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.
| Language: | English |
|---|---|
| Publisher: | Springer |
| Year: | 2020 |
| Pages: | 133-144 |
| Proceedings: | NeuroIS Retreat 2020 |
| Series: | Lecture Notes in Information Systems and Organisation |
| ISBN: | 3030600726 , 3030600734 , 9783030600723 and 9783030600730 |
| ISSN: | 21954968 and 21954976 |
| Types: | Conference paper and Book chapter |
| DOI: | 10.1007/978-3-030-60073-0_15 |
| ORCIDs: | Abbad Andaloussi, Amine , Burattin, Andrea and 0000-0001-6244-6970 |
DCR Graphs Declarative process models Modularization Neurophysiological experiments Understandability
