Guiding attention in flow-based conceptual models through consistent flow and pattern visibility

A critical part of flow-based conceptual modeling, such as process modeling, is visualizing the logical and temporal sequence in which activities in a process should be completed. While there are established standards and recommendations, there is limited empirical research examining the influence o...

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Veröffentlicht in:Decision Support Systems 2024-10, Vol.185, p.114292, Article 114292
Hauptverfasser: Figl, Kathrin, Soffer, Pnina, Weber, Barbara
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Sprache:eng
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Zusammenfassung:A critical part of flow-based conceptual modeling, such as process modeling, is visualizing the logical and temporal sequence in which activities in a process should be completed. While there are established standards and recommendations, there is limited empirical research examining the influence of process model layout on model comprehension. To address this research gap, we conducted a controlled eye-tracking experiment with 70 participants comparing different layouts. The experimental results confirm that the visibility of control flow patterns is critical for assisting users with visual processing, particularly attentional allocation, when comprehending process models for both local comprehension tasks and tasks requiring cognitive integration of model components. In models with more directional changes, users’ visual attention is more drawn to irrelevant regions, but comprehension is less affected as long as patterns remain visible. Our findings not only elucidate how cognitive fit between a visual representation and a task can manifest itself and the perceptual benefits it brings, but they can also guide the automated layout of models in tools and complement practical process modeling guidelines. •Eye-tracking study reveals key role of layout in process model understanding.•Pattern visibility vital for user attention and recognition of control flow blocks.•Directional changes distract visually but do not impact overall understanding.•Paper proposes guidelines for automated model layout tools.
ISSN:0167-9236
DOI:10.1016/j.dss.2024.114292