Ambient Sound Recognition and Processing Tools, Object Perception and Motion Control Algorithms, and Behavioral Predictive Analytics in the Virtual Economy of the Metaverse
Ambient Sound Recognition and Processing Tools, Object Perception and Motion Control Algorithms, and Behavioral Predictive Analytics in the Virtual Economy of the Metaverse

Summary/Abstract: The aim of this systematic review is to synthesize and analyze immersive shopping experiences and metaverse operations management across interconnected digital spaces. With increasing evidence of immersive virtual experiences and livestream shopping events, there is an essential demand for comprehending whether operational modeling and real-time data visualization tools further immersive virtual shopping and multisensory customer experiences, influencing digital product purchase intentions. In this research, prior findings were cumulated indicating that digital twin simulation tools and data tracking apps optimize frictionless metaverse purchase experiences and customer response sentiment in virtual retail stores. I carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout June 2022, with search terms including “metaverse” + “ambient sound recognition and processing tools,” “object perception and motion control algorithms,” and “behavioral predictive analytics.” As I analyzed research published in 2022, only 144 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 29, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Distiller SR, ROBIS, and SRDR.

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