Privacy Concerns in the Metaverse

Abstract

This thesis investigates main determinants of individuals’ privacy concerns in the metaverse, a virtual space that is ever growing in popularity, volume and development. The research aims to identify the main determinants of privacy concerns in the metaverse and examine how these concerns relate to individuals’ online behaviour, attitudes, and demographic characteristics. The study collected data from a sample of 356 individuals, with 95% of respondents being familiar with the metaverse, in order to gather information and data for further analysis. The data were analysed using exploratory factor analysis (EFA), ANOVA, Cronbach’s alpha, independent sample t-test and linear regression. Statistical analysis validated the data and further found differences in privacy concerns in terms of demographics. The results of the survey revealed four main determinants which contribute to individuals’ privacy concerns in the metaverse.
The findings of this study have implications for both individuals and platform developers in the metaverse. Individuals should be aware of the potential privacy risks in the metaverse and take appropriate measure to protect their personal information. Platform developers should consider the factors of concerns identified in this study, when designing and implementing privacy policies and features to enhance user privacy and trust. Overall, this study contributes to the growing body of research on privacy concerns in virtual environments and provides insights and information into the main determinants of privacy concerns in the metaverse.