ABSTRACT. The purpose of this study is to examine 3D immersive content across the interconnected metaverse. In this article, I cumulate previous research findings indicating that immersive virtual shopping requires predictive analytics and computer vision-based systems in relation to consumption patterns and buying habits across customer journey. I contribute to the literature on immersive metaverse experiences achieved through automated speech recognition and data visualization tools, consumer analytics, and eye-tracking technologies by showing that customer behavior analytics deploys user identification technology and engagement tools, real-time sensor data, metaverse capabilities in a blockchain-based virtual world. Throughout June 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “immersive hyper-connected virtual spaces” + “extended reality and geospatial mapping technologies,” “behavioral predictive and mobile location analytics,” and “motion planning and object recognition algorithms.” As I inspected research published in 2022, only 226 articles satisfied the eligibility criteria. By removing controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 49, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, MMAT, and SRDR.
JEL codes: D53; E22; E32; E44; G01; G41

Keywords: extended reality; geospatial mapping; behavioral predictive and mobile location analytics; motion planning; object recognition; immersive hyper-connected virtual space

How to cite: Perkins, J. (2022). “Extended Reality and Geospatial Mapping Technologies, Behavioral Predictive and Mobile Location Analytics, and Motion Planning and Object Recognition Algorithms in Immersive Hyper-Connected Virtual Spaces,” Journal of Self-Governance and Management Economics 10(3): 23–39. doi: 10.22381/jsme10320222.

Received 2 July 2022 • Received in revised form 25 September 2022
Accepted 27 September 2022 • Available online 30 September 2022

Home | About Us | Events | Our Team | Contributors | Peer Reviewers | Editing Services | Books | Contact | Online Access

© 2009 Addleton Academic Publishers. All Rights Reserved.

Joomla templates by Joomlashine