Demystifying metaverse data from user-technology interaction

Reshmi Manna, Ankit Singh and Monica Apte
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Reshmi Manna: Associate Professor, Dr. Vishwanath Karad MIT World Peace University, India
Ankit Singh: Business Analyst, Lintl Clothing Pvt Ltd, India
Monica Apte: Associate Professor, Dr. Vishwanath Karad MIT World Peace University, India

Applied Marketing Analytics: The Peer-Reviewed Journal, 2024, vol. 9, issue 4, 357-374

Abstract: Metaverse data is the collection of detailed information generated from the user's interactions that take place within virtual and augmented realities. Metaverse data includes capturing motion information, recognising gestures, interaction and speech, emotion state assessment and evidence of eye metrics to understand user behaviour in virtual worlds. This paper will explore the different types of metaverse data as well as their implications for marketing efforts. It will also discuss how these technologies can help businesses better understand their customers and cater to their needs in an ever-evolving digital landscape.

Keywords: metaverse data; artificial intelligence; machine learning; synthetic data; virtual reality; augmented reality; capturing motion data; recognising gestures; interaction and speech data; emotion state assessment; eye metrics (search for similar items in EconPapers)
JEL-codes: M3 (search for similar items in EconPapers)
Date: 2024
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