Towards Enhanced Guiding Mechanisms in VR Training Through Process Mining

Enes Yigitbas, Sebastian Krois, Sebastian Gottschalk, Gregor Engels

2023

Abstract

Virtual Reality (VR) provides the capability to train individuals to deal with new, complex, or dangerous situations by immersing them in a virtual environment and enabling them to learn by doing. In this virtual environment, the users usually train a sequence of different tasks. With that, most VR trainings have an underlying process that is given implicitly or explicitly. Although some training approaches provide basic guidance features, when analyzing the execution of the training, the process itself is often not considered, even if the process is one of the primary aspects to train in many cases. In this paper, we present VR-ProM, a framework that enables to use process mining techniques by supporting logging, analysis of execution logs of training sessions, and provision of guiding mechanisms to enhance VR training applications. To evaluate our framework and to investigate whether the integration of process mining techniques enables us to support the enhancement of VR-based training applications, we performed a two-staged user study based on a VR warehouse management training application. To analyze the effectiveness and subjective usability of the VR training, we performed two rounds of user studies and compared the results before and after we integrated the guiding mechanisms driven by process mining. Initial usability evaluation results show that with the help of VR-ProM the trainees made 40% fewer mistakes in the example VR training application and that the overall user satisfaction could be increased.

Paper Citation

in Harvard Style

Yigitbas E., Krois S., Gottschalk S. and Engels G. (2023). Towards Enhanced Guiding Mechanisms in VR Training Through Process Mining. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP; ISBN 978-989-758-634-7, SciTePress, pages 152-159. DOI: 10.5220/0011651600003417

in Bibtex Style

@conference{hucapp23,
author={Enes Yigitbas and Sebastian Krois and Sebastian Gottschalk and Gregor Engels},
title={Towards Enhanced Guiding Mechanisms in VR Training Through Process Mining},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP},
year={2023},
pages={152-159},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011651600003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP
TI - Towards Enhanced Guiding Mechanisms in VR Training Through Process Mining
SN - 978-989-758-634-7
AU - Yigitbas E.
AU - Krois S.
AU - Gottschalk S.
AU - Engels G.
PY - 2023
SP - 152
EP - 159
DO - 10.5220/0011651600003417
PB - SciTePress