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Digital Process Twins as Intelligent Design Technology for Engineering Metaverse/XR Applications

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  • Christian Stary

    (Department of Business Informatics—Communications Engineering, Business School, Johannes Kepler University, 4040 Linz, Austria)

Abstract

The last years have seen propagating Metaverse and Mixed Reality (Extended Reality, XR) technologies into everyday applications. Due to their immersion and digitalization capability, sustainability issues can be addressed to optimize resource consumption before processes are put to practice or products are materialized. In particular, Digital Process Twin technologies can execute behavior models of socio-technical Cyber-Physical Systems. They allow both designing variants of system behavior and validating implementation architectures for system operation. In this contribution, I leverage these capabilities to capture the behavior-centered intelligence of Metaverse and XR applications. The more accurately user roles and cyber-physical components can be captured by behavior models representing Metaverse/XR applications, the more accurately the environmental, social, and economic impact of design alternatives can be experienced.

Suggested Citation

  • Christian Stary, 2023. "Digital Process Twins as Intelligent Design Technology for Engineering Metaverse/XR Applications," Sustainability, MDPI, vol. 15(22), pages 1-23, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:16062-:d:1282485
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    References listed on IDEAS

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    1. Ester van Laar & Alexander J. A. M. van Deursen & Jan A. G. M. van Dijk & Jos de Haan, 2020. "Determinants of 21st-Century Skills and 21st-Century Digital Skills for Workers: A Systematic Literature Review," SAGE Open, , vol. 10(1), pages 21582440199, January.
    2. Arun Rai, 2020. "Explainable AI: from black box to glass box," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 137-141, January.
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