Amine Abbad-Andaloussi
Last Name
Abbad-Andaloussi
First name
Amine
Email
amine.abbad-andaloussi@unisg.ch
ORCID
Phone
+41 71 224 2635
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Item type:Publication, On the Relationship Between Semantic Transparency and Cognitive Load: Does Context Matter In Process Models?(2025); ; López Hugo-andrésDeclarative process models offer flexibility in representing complex processes, but can be difficult to understand due to their implicit control flow. Improving their representation, particularly by investigating and enhancing their semantic transparency, can help address this challenge. This paper proposes an empirical research model to examine how varying levels of semantic transparency, encoded in different visual notations of declarative models, affect users’ cognitive load and visual behavior in the presence and absence of contextual information. The findings will lead to a better understanding of the effects of semantic transparency and will support the design of understandable declarative models.Type:conference paper - Some of the metrics are blocked by yourconsent settings
Item type:Publication, On the Task-Specific Effects of Fragmentation in Modular Process ModelsModularization has been extensively investigated for its role in enhancing the comprehension of process models by dividing them into smaller, self-contained and manageable modules. However, existing studies have reported inconclusive results, prompting further exploration into when modularization supports or impedes process comprehension. Among the key factors suggested to influence the effect of modularization is the type of the task at hand. Indeed, the fragmentation of information across several modules caused by modularization can challenge readers' comprehension of process models, especially if the task is not confined to a single module. While the effect of fragmentation has been explored for flow-based tasks, requiring understanding procedural aspects of process models, our work extends to circumstantial tasks, which instead demand comprehending model rules and constraints that rely on the broader context associated with specific process parts. Using eye-tracking, we investigate how the fragmentation of information caused by modularization impacts cognitive integration (i.e., the collection and synthesis of dispersed information) and its subsequent effect on cognitive load and model comprehension. Our findings demonstrate that fragmentation significantly affects cognitive integration in flow-based tasks only. Moreover, our results show that cognitive integration is linked to both cognitive load and readers' comprehension of process models. The outcome of this work provides a detailed model, explaining the task-specific effects of fragmentation. Practically, our findings highlight the need for modeling tools that dynamically adjust their user interface to reduce cognitive integration demands, thereby enhancing model comprehension.Type:conference paperScopus© Citations 2