Abstract
The implementation of Industry 4.0 in the enterprise forces increased digitization, production flexibility, improvement of employees’ competences and the integration of employees and IT systems. For this purpose, cutting-edge IT systems and solutions such as Virtual, Augmented and Mixed Reality (VR/AR/MR) are increasingly used. These technologies can be used, in training processes of ma-chines and equipment operating procedures. The paper is a case study on the possibility of using MR applications in training in the use of electrical devices (ARS 2 Pro switch disconnector). The aim of the work is to compare MR and standard training and evaluate their effectiveness in this type of training. The paper briefly describes developed applications and preliminary test-results.
A group of 20 people in the age group 20 to 40. The participants were divided in-to 2 subgroups in order to properly analyze the effectiveness of individual training tools.
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References
Semenov, I., Filina-Dawidowicz, L., Trojanowski, P.: Information resources structuring to support decision-making process for organization of sensitive cargo transportation in the COVID-19 crisis. In: Sustainable Economic Development and Advancing Education Excellence in the era of Global Pandemic Proceedings of the 36th International Business Information Management Association Conference (IBIMA), pp.9881–9890 (2020)
Kotliar, A., et al.: Ensuring the economic efficiency of enterprises by multi-criteria selection of the optimal manufacturing process. Manag. Prod. Eng. Rev. 11(1), 52–61 (2020)
Karpus, V.E., Ivanov, V.A.: Choice of optimal configuration of modular reusable fixtures. Russ. Eng. Res. 32(3), 213–219 (2012)
Marino, E., Barbieri, L., Colacino, B., Fleri, A.K., Bruno, F.: an augmented reality inspection tool to support workers in industry 4.0 environments. Comput. Ind. 127, 103412 (2021)
Żywicki, K., Buń, P.: Process of materials picking using augmented reality. IEEE Access 9, 102966–102974 (2021)
Fast-Berglund, Å., Gong, L., Li, D.: Testing and validating extended reality (xR) technologies in manufacturing. Procedia Manuf. 25, 31–38 (2018)
Bun, P., Trojanowska, J., Ivanov, V., Pavlenko, I.: The use of virtual reality training application to increase the effectiveness of workshops in the field of lean manufacturing. In: 4th International Conference of the Virtual and Augmented Reality in Education, VARE 2018, pp. 65–71 (2018)
Ivanov, V., Pavlenko, I., Trojanowska, J., Zuban, Y., Samokhvalov, D., Bun, P. Using the augmented reality for training engineering students. In: 4th International Conference of the Virtual and Augmented Reality in Education, VARE 2018, pp. 57–64 (2018)
Flavián, C., Ibáñez-Sánchez, S., Orús, C.: The impact of virtual, augmented and mixed reality technologies on the customer experience. J. Bus. Res. 100, 547–560 (2019)
Kunnen, S., Adamenko, D., Pluhnau, R., Loibl, A., Nagarajah, A.: System-based concept for a mixed reality supported maintenance phase of an industrial plant. Procedia CIRP 91, 15–20 (2020)
Juraschek, M., Büth, L., Posselt, G., Herrmann, C.: Mixed reality in learning factories. Procedia Manuf. 23, 153–158 (2018)
Gorski, F., Grajewski, D., Bun, P., Zawadzki, P.: Study of interaction methods in virtual electrician training. IEEE Access 9, 118242–118252 (2021)
Carlson, P., Peters, A., Gilbert, S.B., Vance, J.M., Luse, A.: Virtual training: learning transfer of assembly tasks. IEEE Trans. Visual Comput. Graphics 21(6), 770–782 (2015)
Kaplan, A.D., Cruit, J., Endsley, M., Beers, S.M., Sawyer, B.D., Hancock, P.A.: The effects of virtual reality, augmented reality, and mixed reality as training enhancement methods: a meta-analysis. Hum. Factors 63(4), 706–726 (2021)
Rehman, U., Cao, S.: Comparative evaluation of augmented reality-based assistance for procedural tasks: a simulated control room study. Behav. Inf. Technol. 39(11), 1225–1245 (2020)
Radhakrishnan, U., Chinello, F., Koumaditis, K.: Immersive virtual reality training: three cases from the danish industry. In: 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), pp. 1–5 (2021)
Balani, M.S., Tümler, J.: Usability and user experience of interactions on VR-PC, HoloLens 2, VR cardboard and AR smartphone in a biomedical application. In: Chen, J.Y.C., Fragomeni, G. (eds.) HCII 2021. LNCS, vol. 12770, pp. 275–287. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-77599-5_20
Shao, X., Feng, X., Yu, Y., Wu, Z., Mei, P.: A natural interaction method of multi-sensory channels for virtual assembly system of power transformer control cabinet. IEEE Access 8, 54699–54709 (2020)
Rogers, K., Funke, J., Frommel, J., Stamm, S., Weber, M.: Exploring interaction fidelity in virtual reality: object manipulation and whole-body movements. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1–14 (2019)
Jung, J., Park, H., Hwang, D., Son, M., Beck, D.: A review on interaction techniques in virtual environments. In: Proceedings of the 2014 International Conference on Industrial Engineering and Operations Management Bali, Indonesia, 7–9 January 2014
Grajewski, D., Buń, P., Górski, F.: Examination of effectiveness of a performed procedural task using low-cost peripheral devices in VR. In: Chen, J.Y.C., Fragomeni, G. (eds.) VAMR 2018. LNCS, vol. 10909, pp. 403–415. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91581-4_30
OpenVR documentation. https://partner.steamgames.com/doc/features/steamvr/openvr. Accessed 10 Jan 2022
Microsoft HoloLens specification. https://docs.microsoft.com/en-us/hololens/hololens1-hardware. Accessed 10 Jan 2022
HoloLens 1 usage. https://docs.microsoft.com/en-us/hololens/hololens1-basic-usage. Accessed 26 Oct 2021
Unity3D documentation. https://docs.unity3d.com/2019.3/Documentation/Manual/index.html. Accessed 10 Jan 2022
SteamVR Plugin for Unity3D. https://assetstore.unity.com/packages/tools/integration/steamvr-plugin-32647. Accessed 10 Jan 2022
HTC Vive Pro main page. https://www.vive.com/eu/product/vive-pro/. Accessed 10 Jan 2022
Mixed Reality Toolkit Documentaton. https://docs.microsoft.com/en-us/windows/mixed-reality/design/gaze-and-commit. Access 26 Oct 2021
Autodesk Inventor documentation. https://knowledge.autodesk.com/support/inventor/learn. Accessed 10 Jan 2022
Autodesk 3ds Max documentation. https://help.autodesk.com/view/3DSMAX/2020/ENU/. Access 10 Jan 2022
Gapsa, J.: Training of operation procedures of electrical equipment in virtual and mixed reality (in Polish), Master Thesis, Poznan University of Technology, Poznan (2021)
Lewis, J.R.: The system usability scale: past, present, and future. Int. J. Hum. Comput. Interact. 34(7), 577–590 (2018)
Grassini, S., Laumann, K., Rasmussen Skogstad, M.: The use of virtual reality alone does not promote training performance (but sense of presence does). Front. Psychol. 11, 1743 (2020)
Abich, J., Parker, J., Murphy, J. S., Eudy, M. A: review of the evidence for training effectiveness with virtual reality technology. Virtual Reality 1–15 (2021)
del Amo, I.F., Erkoyuncu, J.A., Roy, R., Palmarini, R., Onoufriou, D.: A systematic review of augmented reality content-related techniques for knowledge transfer in maintenance applications. Comput. Ind. 103, 47–71 (2018)
Azimi, E., et al.: Can mixed-reality improve the training of medical procedures?. In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4065–4068. IEEE (2018)
Hu, H.Z., et al.: Application and prospect of mixed reality technology in medical field. Curr. Med. Sci. 39(1), 1–6 (2019)
HoloLens 2 basics. https://docs.microsoft.com/en-us/hololens/hololens2-basic-usage. Accessed 26 Oct 2021
Ababsa, F., He, J., Chardonnet, J.-R.: Combining hololens and leap-motion for free hand-based 3D interaction in MR environments. In: De Paolis, L.T., Bourdot, P. (eds.) AVR 2020. LNCS, vol. 12242, pp. 315–327. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58465-8_24
Nguyen, D., Meixner, G.: Gamified augmented reality training for an assembly task: a study about user engagement. In: 2019 Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 901–904. IEEE (2019)
Cazzolla, A., Lanzilotti, R., Roselli, T., Rossano, V.: Augmented reality to support education in Industry 4.0. In: 2019 18th International Conference on Information Technology Based Higher Education and Training (ITHET), pp. 1–5. IEEE (2019)
Acknowledgments
This work was supported by the European Union from the European Regional Development Fund within the Smart Growth Operational Programme 2020–2024. The project is executed within the priority axis “Support for R&D Activity of Enterprises” of the National Centre for Research and Development under the contract POIR.01.01.01-00-0463/18.
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Buń, P., Gapsa, J., Husár, J., Kaščak, J. (2022). Mixed Reality Training in Electrical Equipment Operating Procedures. In: Trojanowska, J., Kujawińska, A., Machado, J., Pavlenko, I. (eds) Advances in Manufacturing III. MANUFACTURING 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-99310-8_24
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