Towards (More) Effective Visualizations for Process Discovery

Visualizations in process mining are essential for communicating results to users and for enabling informed decision-making. However, so far, the existing visualizations are often not tailored to the specific process mining tasks, difficult to interpret, and struggle to show the process complexity of the underlying event logs. Furthermore, the user’s perception of the visualizations is rarely analyzed. Researchers have acknowledged the need for suitable visualizations and the consideration of the user’s cognitive perspective to improve the organizational insights gained from them. This dissertation aims to address this need by (1) empirically evaluating existing visualizations to identify potentials and limitations, (2) developing new visualizations, and (3) empirically testing the effectiveness of these (new) visualizations to support process discovery tasks.