
Workflow and concept study to design mixed reality assisted safety training in the wind energy sector
Author(s) -
S C Joghee,
Idriss ElThalji
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1201/1/012087
Subject(s) - workflow , computer science , workflow technology , virtualization , workload , human–computer interaction , database , cloud computing , operating system
Mixed reality Technology creates new environments and visualizations to teach, train, and facilitate work, either offline or remote online. The aim is to provide effective learning and training sources and reduce human errors and cognitive workload. However, the concept study to design mixed reality (MR)-assisted training lacks the workflow process. Therefore, the purpose of this paper is to develop a workflow to design MR-assisted training together with a worksheet that can be used to prioritize training tasks that should be virtualized and augmented. The workflow is demonstrated with the help of safety training for wind turbine towers. The results show that the proposed workflow has identified 4 out of 8 tasks to be critical for virtualization and augmentation. The proposed workflow is helpful to screen and identify critical training and work scenarios and tasks, besides the ability to determine the technical specifications of the required virtualization and augmentation.