Extensible Metaverse Implication for a Smart Tourism City

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dc.contributor.authorPannee Suanpang
dc.contributor.authorChawalin Niamsorn
dc.contributor.authorPattanaphong Pothipassa
dc.contributor.authorThinnagorn Chunhapataragul
dc.contributor.authorTitiya Netwong
dc.contributor.authorKittisak Jermsittiparsert
dc.contributor.correspondenceP. Suanpang; Faculty of Science & Technology, Suan Dusit University, Bangkok, 10300, Thailand; email: pannee_sua@dusit.ac.th
dc.date.accessioned2025-03-10T07:35:06Z
dc.date.available2025-03-10T07:35:06Z
dc.date.issued2022
dc.description.abstractThe metaverse is an innovation that has created the recent phenomenon of new tourism experiences from a virtual reality of a smart tourism destination. However, the existing metaverse platform demonstrated that the technology is still difficult to develop, as the service provider did not disclose the internal mechanisms to developers, and it was a closed system, which could not use or share the userÕs data across platforms. The aim of this paper was to design and develop an open metaverse platform called the Òextensible metaverseÓ, which would allow new developers to independently develop the capabilities of the metaverse system. The acquisition of this new technology was conducted through requirements analysis, then the analysis and design of the new system architecture, followed by the implementation, and the evaluation of the system by the users. The results found that the extended metaverse was divided into three tiers that created labels, characters, and virtual objects. Furthermore, the linking tier combined the 3D elements, and the deployment tier compiled the results of the link to use all three parts by using the Blender program, Godot Engine, and PHP + WebGL as their respective key mechanisms. This system was tested in Suphan Buri province, Thailand, which was evaluated by 428 users. The results of the metaverse satisfaction, created tourism experience, and overall satisfaction of the variation of the satisfaction of using the metaverse were 86.0%, 79.7%, and 92.9%, respectively. The relative Chi-square (_2/df) of 1.253 indicated that the model was suitable. The comparative fit index (CFI) was 0.984, the goodness-of-fit index (GFI) was 0.998, and the model based on the research hypothesis was consistent with the empirical data. The root mean square error of approximation (RMSEA) was 0.024. In conclusion, the extended metaverse is more flexible than other platforms and also creates the userÕs satisfaction and tourism experience in the smart destination to support sustainable tourism. © 2022 by the authors.
dc.identifier.citationSustainability (Switzerland)
dc.identifier.doi10.3390/su142114027
dc.identifier.issn20711050
dc.identifier.scopus2-s2.0-85145994936
dc.identifier.urihttps://repository.dusit.ac.th//handle/123456789/4610
dc.languageEnglish
dc.publisherMDPI
dc.rightsAll Open Access; Gold Open Access
dc.rights.holderScopus
dc.subjectextensible metaverse
dc.subjectsmart tourism
dc.subjecttourism intention
dc.subjectvirtual reality
dc.titleExtensible Metaverse Implication for a Smart Tourism City
dc.typeArticle
mods.location.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85145994936&doi=10.3390%2fsu142114027&partnerID=40&md5=ee9e63a706fb13e05ba8ce9a18a1e403
oaire.citation.issue21
oaire.citation.volume14
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