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Migration to the metaverse and its predictors: Attachment to virtual places and metaverse-related threat.

Authors :
Oleksy, Tomasz
Wnuk, Anna
Piskorska, Małgorzata
Source :
Computers in Human Behavior. Apr2023, Vol. 141, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

The most ambitious visions of metaverse technology promise to create virtual places that offer the same possibilities as the real world. However, as any novel technology, the metaverse raises controversies and questions. Does one want to migrate to the metaverse? Does one's willingness to move to virtual worlds depend on the bonds with existing virtual places and the sense of threat related to this technology? To address these questions, we drew on the theories of place attachment and intergroup threat. In two studies – (1) among users of open-world games (N = 366) and (2) using a sample representative of the Polish population in terms of age, gender and size of the residential place (N = 995) – we observed a low level of willingness to migrate to the metaverse. The participants displayed a high level of perceived metaverse-related threat, ranging from privacy concerns to the belief that metaverse can deprive one of access to essential human experiences. However, greater attachment to virtual, as opposed to real, places was associated with both an increased willingness to migrate to the metaverse and a low level of perceived threat. The results provide a better understanding of individuals' perception of the metaverse and of how the bonds with virtual and real places translate into attitudes towards metaverse technology. • Most participants do not want to migrate to the metaverse. • Most respondents express a sense of threat associated with the further development of the metaverse. • Desire to migrate is positively related to attachment to existing virtual places and negatively to metaverse-related threat. • Attachment to virtual places is negatively associated with metaverse-related threat. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07475632
Volume :
141
Database :
Academic Search Index
Journal :
Computers in Human Behavior
Publication Type :
Academic Journal
Accession number :
161305872
Full Text :
https://doi.org/10.1016/j.chb.2022.107642