Image Processing Computational Algorithms, Movement and Behavior Tracking Tools, and Virtual Retail Algorithms in a Real-Time Interoperable Decentralized Metaverse.

AuthorMorley, Nancy
  1. Introduction

    Metaverse consumer retail data, geospatial mapping tools, and customer monitoring systems assist immersive virtual shopping in extended reality environments. The purpose of my systematic review is to examine the recently published literature on real-time interoperable decentralized metaverse and integrate the insights it configures on image processing computational algorithms, movement and behavior tracking tools, and virtual retail algorithms. By analyzing the most recent (2021-2022) and significant (Web of Science, Scopus, and ProQuest) sources, my paper has attempted to prove that Customer behavior analytics harnesses computer vision tools and cognitive computing systems, optimizing purchase journeys and immersive 3D experiences. The actuality and novelty of this study are articulated by addressing virtual asset purchasing across the interconnected metaverse, that is an emerging topic involving much interest. My research problem is whether frictionless immersive retail and virtual shopping experiences integrate behavioral and demographic analytics across digital marketplaces and the interconnected metaverse.

    In this review, prior findings have been cumulated indicating that consumer location data, real-time predictive analytics, and metaverse technologies are pivotal across virtual shopping malls in immersive 3D worlds, optimizing purchase journeys. The identified gaps advance consumer engagement metrics, data visualization tools, and real-time predictive analytics assisting virtual retail experiences. My main objective is to indicate that metaverse operations management and immersive shopping experiences develop on customer engagement tools in retail livestreaming.. This systematic review contributes to the literature on immersive retail experiences in virtual marketplaces by clarifying that virtual retail stores in the metaverse economy require computer vision and visual imagery tools as regards consumer sentiments, attitudes, and behaviors. This research endeavors to elucidate whether customer behavior analytics leverages mobility data and location tracking tools to optimize metaverse platform engagement and immersive shopping experiences. My contribution is by integrating research findings indicating that dynamic routing technology, image recognition tools, and blockchain-based digital assets articulate data-driven customer engagements in metaverse live-video shopping events.

  2. Theoretical Overview of the Main Concepts

    Metaverse purchase experiences in 3D immersive environments can be attained by use of business intelligence analytics, image recognition technologies, and movement and behavior tracking tools, driving shopper engagement and spending habits, and resulting in lasting competitive advantage. Immersive 3D technologies, virtual retail algorithms, and natural language processing tools further consumer purchasing decisions in metaverse commerce. Behavioral and demographic analytics deploys picture-making neural networks and augmented reality shopping tools, driving customer loyalty across virtual marketplaces and interconnected digital realms. The manuscript is organized as following: theoretical overview (section 2), methodology (section 3), digitally-enhanced personalized experiences throughout the virtual retail market in a fully connected metaverse (section 4), consumer purchasing decisions in metaverse commerce (section 5), virtual retail experiences in metaverse commerce and across extended reality environments (section 6), discussion (section 7), synopsis of the main research outcomes (section 8), conclusions (section 9), limitations, implications, and further directions of research (section 10).

  3. Methodology

    I carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout June 2022, with search terms including "metaverse" + "image processing computational algorithms," "movement and behavior tracking tools," and "virtual retail algorithms." The search terms were determined as being the most employed words or phrases across the analyzed literature. As I analyzed research published in 2021 and 2022, only 171 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, I decided on 35, chiefly empirical, sources (Tables 1 and 2). Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, ROBIS, and SRDR. Extracting and inspecting publicly accessible files (scholarly sources) as evidence, before the research began no institutional ethics approval was required. (Figures 1-6).

  4. Digitally-enhanced Personalized Experiences throughout the Virtual Retail Market in a Fully Connected Metaverse

    Predictive modeling tools, data mining techniques, and business intelligence analytics (Dwivedi et al., 2022; Gursoy et al., 2022; Kral et al., 2022; Zvarikova et al., 2022) configure immersive metaverse experiences in virtual environments. Livestream video shopping experiences in immersive interconnected virtual worlds can be achieved through business intelligence and customer predictive analytics, automated speech recognition and simulation modeling tools, and deep learning algorithms. Virtual retail stores in the metaverse economy require computer vision and visual imagery tools as regards consumer sentiments, attitudes, and behaviors.

    Metaverse capabilities, virtual navigation and automated speech recognition tools, and cognitive enhancement technologies (Belk et al., 2022; Hawkins, 2022; Kovacova et al., 2022; Park and Kim, 2022) enable live shopping events in immersive 3D worlds. Personalized purchase experiences in blockchain-based virtual worlds develop on body-tracking data metrics, consumer journey analytics, and machine learning-based image recognition tools. Consumer location data, real-time predictive analytics, and metaverse technologies are pivotal across virtual shopping malls in immersive 3D worlds, optimizing purchase journeys.

    Real-time predictive analytics, biometric authentication features, and voice and gesture recognition tools further multisensory customer...

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