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A Comprehensive Approach to the Analysis of VR Training Progress of Industry 4.0 Employees

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Extended Reality (XR Salento 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14219))

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Abstract

Innovative workforce training solutions are essential as Industry 4.0 transforms the manufacturing and automation landscape. The Virtual Reality (VR) training system described in this paper uses multiple visualization techniques to track employees’ progress. To accommodate a range of user preferences and training objectives, the system makes use of various visualization techniques. PDF printouts offer a concise, portable summary of individual performance metrics, while 2D maps provide an overview of spatial navigation and task completion within the VR environment. 3D scenes allow for a more immersive, interactive visualization of employee progress, allowing users to better understand complex scenarios and relationships. The proposed system seeks to improve user engagement, comprehension, and retention of training outcomes by incorporating these visualization techniques.

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Acknowledgments

The presented research was co-funded by the National Center for Research and Development under grant number LIDER/55/0287/L-12/20/NCBR/2021.

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Authors and Affiliations

  1. Department of Information Technology, Poznań University of Economics and Business, Poznań, Poland

    Adam Gałązkiewicz, Mikołaj Maik, Krzysztof Walczak, Cyryl Leszczyński & Julia Głowaczewska

Authors
  1. Adam Gałązkiewicz
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  2. Mikołaj Maik
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  3. Krzysztof Walczak
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  4. Cyryl Leszczyński
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  5. Julia Głowaczewska
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Corresponding author

Correspondence to Adam Gałązkiewicz .

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Editors and Affiliations

  1. University of Salento, Lecce, Italy

    Lucio Tommaso De Paolis

  2. University of Naples Federico II, Naples, Italy

    Pasquale Arpaia

  3. CNR-STIIMA, Lecco, Italy

    Marco Sacco

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Gałązkiewicz, A., Maik, M., Walczak, K., Leszczyński, C., Głowaczewska, J. (2023). A Comprehensive Approach to the Analysis of VR Training Progress of Industry 4.0 Employees. In: De Paolis, L.T., Arpaia, P., Sacco, M. (eds) Extended Reality. XR Salento 2023. Lecture Notes in Computer Science, vol 14219. Springer, Cham. https://doi.org/10.1007/978-3-031-43404-4_34

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  • DOI: https://doi.org/10.1007/978-3-031-43404-4_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43403-7

  • Online ISBN: 978-3-031-43404-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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