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Demystifying metaverse data from user-technology interaction
Applied Marketing Analytics: The Peer-Reviewed Journal,
9
(4),
357-374
(2024)
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
The full article is available to subscribers to the journal.
Author's Biography
Reshmi Manna obtained her SRF Fellow from IIT Delhi, her PhD and MSc (in developmental psychology) from Calcutta University, and her MBA in human resource management and PGDM in public relations from Annamalai University. She has 22 years of experience in the domain of behavioural science, business analytics and people analytics. She has a certified Management and Leadership (Level 5) qualification from the Chartered Management Institute in the UK, and Master Black Belt in Service Quality from the Indian Statistic Institute in New Delhi.
Ankit Singh is currently Business Analyst at Lintl Clothing Pvt Ltd in India. He has a total of five years of experience as a data analyst and has also worked for the NTPC School of Business, Aditya Birla Group, the HR Knowledge Lab and the Indian Institute of Management in Ahmedabad. He has also worked as a research associate on different government projects and in consultancy. He obtained his Six-Sigma Green Belt from the Indian Statistical Institute in New Delhi, and an MBA (HR) from ICFAI Business School in Gurgaon.
Monica Apte has over 23 years of work experience in the field of computer management, research, industry and corporate training. She has also taught post-graduate management students as well as teaching administration, business research and extension activities in higher education. She is a Cambridge University-certified professional. She is also certified in Oracle-WDP, IBM DB2, big data and Hadoop. She has authored four books on computer science and technology and has published a number of research papers in `Scopus`, `ABDC` and `UGC Care` journals. She is the holder of two international patents and three national patents.
Citation
Manna, Reshmi, Singh, Ankit and Apte, Monica (2024, April 1). Demystifying metaverse data from user-technology interaction. In the Applied Marketing Analytics: The Peer-Reviewed Journal, Volume 9, Issue 4. https://doi.org/10.69554/JVNB2650.
© Henry Stewart
Publications LLP
Publications LLP