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

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.