The Mechanism of Holistic Smart Service Based on Digital Twin in the Metaverse Scenario

Authors

  • Weibin Zhao
  • Jing Zhang
  • Xueyong Li

DOI:

https://doi.org/10.54097/gxrbas91

Keywords:

Metaverse, Digital Twin, Holistic Smart Service, Formal modeling, Service mechanism

Abstract

The Metaverse, as the next evolutionary stage of the internet, is redefining interaction paradigms between humans, objects, and environments. In this context, traditional smart service models face challenges such as insufficient immersion, delayed personalization, and physical-virtual disconnection. This study explores how to construct a new "Holistic Smart Service (HSS)" mechanism in the Metaverse using Digital Twin (DT) technology. We first define HSS as a closed-loop service system integrating high-fidelity perception, real-time intelligent decision-making, immersive interaction, and value co-creation. Then, we propose a three-layer M-DT-HSS (Metaverse-Digital Twin-Holistic Smart Service) model and formally define its core components—service state space, user intention recognition function, and physical-digital synergy optimization function. Based on this model, we design a five-layer system architecture (perception, twin construction, AI engine, interaction presentation, and value co-creation layers) and elaborate on the implementation path from data fusion to service generation. Finally, we validate the proposed mechanism through a virtual smart community service prototype system. Experiments show that our approach outperforms traditional models in critical indicators: user satisfaction increases by 28.7%, service response latency decreases by 63.2%, and resource utilization efficiency improves by 41.5%. This research provides a theoretical framework for smart services in the Metaverse era and guides their engineering implementation.

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References

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Published

29-12-2025

Issue

Section

Articles

How to Cite

Zhao, W., Zhang, J., & Li, X. (2025). The Mechanism of Holistic Smart Service Based on Digital Twin in the Metaverse Scenario. Frontiers in Computing and Intelligent Systems, 14(3), 19-23. https://doi.org/10.54097/gxrbas91