Measuring the Cognitive Complexity in the Comprehension of Modular Process Models

Modularization in process models is a method to cope with the inherent complexity such (e.g., model size reduction). capable increase quality, ease of reuse, and scalability models. Prior conducted research studied effects modular enhance their comprehension. However, modularization on cognitive factors during comprehension are less understood so far. Therefore, this article presents results two exploratory studies (i.e., survey study $N = 95$ participants; follow-up eye tracking 19$ participants), which three types horizontal, vertical, orthogonal) were applied expressed terms business notation (BPMN) 2.0. Furthermore, load, level acceptability, performance investigated. In general, revealed that participants confronted challenges modularized showed only few significant differences, however, obtained regarding load concept misjudged initially. The insights unraveled attitude towards application behavioral intention apply still not clear. context, horizontal appeared be best comprehensible approach leading more fine-grained respective findings indicate alterations change representation) important foster enable Finally, based our results, implications for practice as well directions future work discussed article.