|Research Trend Analysis on Metaverse Applications in South Korea: A Keyword Network Analysis and Topic Modeling Approach
|황지현(Hwang, Ji-Hyoun) ; 한유진(Han, Yoojin) ; 임해원(Lim, Haewon)
| Keyword Network Analysis; Topic Modeling; Metaverse; Journal; Research Trend
|This study aims to investigate research trends of the metaverse, the state-of-the-art technology, in South Korea. After surveying this research
topic, the keywords of research papers based on text mining methods such as keyword network analysis and LDA topic modeling were
analyzed. There were 637 metaverse articles collected from the Research Information Sharing Service (RISS) published from 2007 to 2022.
After pre-processing a total of 240 articles, 722 keywords were prepared for analysis. The results of this study demonstrated several
categorized topics and crucial keywords. The most important keyword found in metaverse articles was virtual reality, which was mainly
studied in four types of the metaverse. Among the four types, augmented reality and the virtual world appeared as major keywords whereas
mirror world and life-logging were not mainly dealt with. Therefore, the keywords mirror world and life-logging can be studied in the future
for spatial design and architecture domains. Although multidisciplinary studies are being conducted, it has yet to be thoroughly studied. Many
studies have focused on metaverse applications and content as a very important keyword, but the scope has been very limited, especially
regarding architecture domain. Lastly, the metaverse platform and user experience seem to be key topics in domestic research that especially
focus on major platforms belonging to the virtual world. Thus, in terms of spatial design and architecture, broader research on the metaverse
needs to be continuously conducted from a user’s perspective. The information and knowledge gained from this study will contribute to
conducting future metaverse studies.