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VR-BPMN: Visualizing BPMN Models in Virtual Reality

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Business Modeling and Software Design (BMSD 2018)

Abstract

One impact of the digital transformation of industry is an increasing automation of business processes (BPs) and the accompanying need for business process modeling (BPM) and comprehension. The subsequent increased number of processes and process variants to cover all cases, their deeper integration with information services, and additional process structural complexity affects comprehensibility. While virtual reality (VR) has made inroads in other domains and become readily accessible as a graphical interface alternative, its potential for addressing upcoming BPM comprehension challenges has not been sufficiently explored. This paper contributes a solution for visualizing, navigating, interacting with, and annotating business process modeling notation (BPMN) models in VR. An implementation shows its feasibility and an empirical study evaluates the effectiveness, efficiency, and intuitiveness versus alternative model depiction modes.

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Acknowledgements

The authors would like to thank Peter Bolek, Andreas Friedel, Sabine Hager, Matthias Nutz, Philipp-Daniel Wendt for their assistance with the design, implementation, and evaluation.

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Correspondence to Roy Oberhauser .

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Appendix

Appendix

See Figs. 11, 12, 13 and 14.

Fig. 11.
figure 11

The Student Exam processes shown in VR-BPMN.

Fig. 12.
figure 12

Close up of Student Exam process in VR-BPMN.

Fig. 13.
figure 13

The Quality Production Processes model as BPMN.

Fig. 14.
figure 14

The Quality Production Processes model in VR-BPMN.

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Oberhauser, R., Pogolski, C., Matic, A. (2018). VR-BPMN: Visualizing BPMN Models in Virtual Reality. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2018. Lecture Notes in Business Information Processing, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-319-94214-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-94214-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94213-1

  • Online ISBN: 978-3-319-94214-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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