@inproceedings{Oberhauser2022,
  author    = {Roy Oberhauser},
  title     = {VR-ProcessMine: Immersive Process Mining Visualization and Analysis in Virtual Reality},
  series = {Proceedings of the Fourteenth International Conference on Information, Process, and Knowledge Management},
  isbn      = {978-1-61208-986-7},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:944-opus4-24731},
  pages     = {75 -- 80},
  year      = {2022},
  abstract  = {Repeatable processes are fundamental for describing how enterprises and organizations operate, for production, for Industry 4.0, etc. As digitalization and automation progresses across all organizations and industries, including enterprises, business, government, manufacturing, and IT, evidence-based comprehension and analysis of the processes involved, including their variations, anomalies, and performance, becomes vital for an increasing set of stakeholders. Process Mining (PM) relies on logs or processes (as such evidence-based) to provide process-centric analysis data, yet insights are not necessarily visually accessible for a larger set of stakeholders (who may not be process or data analysts). Towards addressing certain challenges described in the Process Mining Manifesto, this paper contributes VR-ProcessMine, a solution for visualizing and interacting with PM results in Virtual Reality (VR). Our realization shows its feasibility, and a case-based evaluation provides insights into its capabilities.},
  language  = {en}
}