A systematic review of the soft computing methods shaping the future of the metaverse

Abstract

The metaverse is an emerging technology with the potential to revolutionize our interactions with digital environments. Soft computing presents exciting opportunities in shaping this immersive virtual world. This paper provides a systematic review of the research on soft computing methods in the metaverse, highlighting the interdisciplinary nature of the field and the need for coordination to shape its future. The systematic literature review conducted in this article identifies the contributors and domains in soft computing, emphasizing the need for new developments and joint applications in soft computing and the metaverse. The study categorizes soft computing techniques into five classes - machine learning, fuzzy systems, evolutionary computing, probability analysis, and mixed/hybrid methods - contributing to the emerging metaverse-related research and development. We propose a decision framework for selecting the most suitable soft computing method to assist researchers and developers in methodically assessing the alternative methods. The findings provide a roadmap and opportunities for soft computing models and applications shaping the future of the metaverse. This article can serve as a useful reference for researchers, practitioners, and policymakers working in soft computing and the metaverse.