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Digital Twin and Extended Reality in Industrial Contexts: A Bibliometric Review

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Extended Reality (XR Salento 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14218))

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Abstract

Digital twin and extended reality technologies, including augmented reality, virtual reality and mixed reality, are among the key digital technologies of Industry 4.0. While digital twin enables the representation of the virtual counterpart of a physical system, the extended reality attempts to improve the user experience by augmenting the perception of the reality through digital information. The combined use of such technologies contributes to leverage the creativity of experts in collaboration with intelligent industrial systems. Although their benefits for industries are widely discussed in the literature, few studies are available on the implications of their combined use. Therefore, based on a systematic literature review and a bibliometric analysis, the paper aims to investigate the intersection of digital twin and extended reality technologies in industry, in order to discover the implications and reveal future research directions. Six main clusters resulted from the analysis: advanced digital services, extended robotized twin, virtualization, scalable analysis, multi-layered digitalization, digital lymph. Both academics and practitioners can benefit from such results in order to evaluate potential applications and to address their current research and activities.

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Authors and Affiliations

  1. University of Salento, Lecce, Italy

    Vito Del Vecchio, Mariangela Lazoi & Marianna Lezzi

Authors
  1. Vito Del Vecchio
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  2. Mariangela Lazoi
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  3. Marianna Lezzi
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Correspondence to Vito Del Vecchio .

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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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Del Vecchio, V., Lazoi, M., Lezzi, M. (2023). Digital Twin and Extended Reality in Industrial Contexts: A Bibliometric Review. In: De Paolis, L.T., Arpaia, P., Sacco, M. (eds) Extended Reality. XR Salento 2023. Lecture Notes in Computer Science, vol 14218. Springer, Cham. https://doi.org/10.1007/978-3-031-43401-3_18

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  • DOI: https://doi.org/10.1007/978-3-031-43401-3_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43400-6

  • Online ISBN: 978-3-031-43401-3

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