Evaluation of sustainable metaverse characteristics using scenario-based fuzzy cognitive map

Abstract

Metaverse, a virtual world that is parallel to the real world, has gained significant attention in recent years. This is because of the merging of platforms such as Facebook, Instagram, and WhatsApp under the “Meta” umbrella, intending to encompass all forms of digital communication and virtual environments. The COVID-19 pandemic has further accelerated this trend, as the need for virtual social interaction has grown due to the cancellation of in-person events. However, creating a metaverse environment parallel to the real world necessitates an examination of its sustainability dimensions, including those from economic, environmental, social, and technological viewpoints. A sustainable metaverse must possess certain characteristics, such as being able to meet high computational demands, being interoperable and scalable, and having appropriate norms and regulations in place. This study aims to evaluate the characteristics of a sustainable metaverse in detail. The Fuzzy Cognitive Map is used to handle negative causal relationships and address the lack of crisp data. Additionally, scenario analysis is conducted to examine the impact of changes in specific characteristics on other characteristics. The results of this study provide valuable insights into the understanding of the metaverse and can serve as a valuable resource for those working to create a sustainable virtual world.