Metaverse Decentralized Governance and Networked Immersive Virtual Reality Systems, Machine Learning-based Image Recognition and Predictive Modeling Tools, and Cognitive Automation and Multisensor Fusion Technologies in Digital Hyper-Realistic Worlds
Metaverse Decentralized Governance and Networked Immersive Virtual Reality Systems, Machine Learning-based Image Recognition and Predictive Modeling Tools, and Cognitive Automation and Multisensor Fusion Technologies in Digital Hyper-Realistic Worlds

Summary/Abstract: Based on an in-depth survey of the literature, the purpose of the paper is to explore wearable augmented and virtual reality devices, behavior pattern clustering, and metaverse economic and multimodal sensing systems. In this research, previous findings were cumulated showing that intelligent data processing and artificial intelligence-powered prediction tools, picture-making neural networks, and image detection and deep learning-based predictive algorithms configure decentralized 3D digital worlds. Throughout April 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “digital hyper-realistic worlds” + “metaverse decentralized governance and networked immersive virtual reality systems,” “machine learning-based image recognition and predictive modeling tools,” and “cognitive automation and multisensor fusion technologies.” As research published in 2022 and 2023 was inspected, only 176 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, I selected 31 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.

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