Authors:
Enes Yigitbas
;
Sebastian Krois
;
Sebastian Gottschalk
and
Gregor Engels
Affiliation:
Institute of Computer Science, Paderborn University, Zukuntsmeile 2, Paderborn, Germany
Keyword(s):
Virtual Reality, Process Mining, Usability Evaluation.
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 trai
ning 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.
(More)