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A Study on Interest Factors of Game-based Metaverse : focused on the topic analysis of user community

게임 기반 메타버스의 사용자 흥미 요인 연구 : <동물의 숲> 사용자 커뮤니티의 토픽 분석을 중심으로

  • 안진경 (강남대학교 글로벌문화학부) ;
  • 곽찬희 (강남대학교 ICT공학부)
  • Received : 2021.08.19
  • Accepted : 2021.10.20
  • Published : 2021.10.28

Abstract

Although interest in the metaverse increases due to the pandemic, the understanding of the metaverse interest factor, which is an essential element for the sustainability of any metaverse platform, is lacking. This study aims to reveal the interest factors of metaverse services by analyzing user community discourse. We collected user community discourses from and applied LDA to extract topics. Further, we categorize the factors into growth and verifiable indicators, various levels of interaction, self-expression and freedom, and connection with the real world. The content planning direction of the game-based metaverse of utilization was derived. This study is meaningful in that it analyzes the interest factors of the metaverse based on the empirical evidence of user discourse data.

팬더믹의 영향으로 메타버스에 대한 관심이 증가하고 있으나, 지속성 있는 메타버스 운영을 위한 흥미 요인에 대한 이해는 부족한 실정이다. 따라서 본 연구는 사용자 커뮤니티 담화를 분석하여 메타버스 서비스의 흥미 요인을 밝히고자 한다. 이를 위해 게임 기반 메타버스의 대표 사례인 <모여봐요 동물의 숲>의 사용자 커뮤니티 담화를 수집해, Latent Dirichlet Allocation (LDA)를 활용해 토픽모델링을 실시했다. 추출된 토픽은 크래프팅과 성장을 위한 허들, 현실 연계 콘텐츠의 정보, 채집 활동과 수집 기록, 소셜라이징, 사용자 생성 콘텐츠와 자기표현, 시즈널 이벤트의 수행도, 캐릭터 상호작용과 슬롯 제한으로 나타났다. 게임 기반 메타버스의 흥미 요인은 성장과 확인 가능한 지표, 다양한 층위의 상호작용, 자기표현과 자유도, 현실세계와의 연결로 정리되고, 이를 통해 시간 기반 콘텐츠 운영, 운과 확률의 활용, 제약의 활용이라는 게임 기반 메타버스의 콘텐츠 기획 방향성을 도출했다. 본 연구는 실증적 담화 데이터를 활용해 흥미 요인을 도출했다는 것에 의의가 있다.

Keywords

References

  1. C. G. Lyou & J. K. Ahn. (2007). A Study on digital storytelling of virtual world: focused on the comparison between and MMORPG. Journal of Game Industry & Culture, 2007(1), 30-47.
  2. C. H. Kwon. (2021). Smart City-based Metaverse a Study on the Solution of Urban Problems. Journal of the Chosun Natural Science, 14(1), 21-26. https://doi.org/10.13160/RICNS.2021.14.1.21
  3. J. H. Park et al. (2021). Seokguram Digital Contents Prospects for the Proposal of Artificial Intelligence Extended Reality. Journal of Korean Society of Media and Arts (Contents Plus), 19(4), 47-62.
  4. K. E. Lee & D. R. Jang. (2021). A Study On Engagement Branded Gamification For The Metaverse Space-Focusing On The Case Of Global Brands. A Journal of Brand Design Association of Korea, 19(2), 277-290. DOI : 10.18852/bdak.2021.19.2.277
  5. S. M. Woo & D. R. Jang. (2021). A Study on Metaverse Brand Communication in Trans-media Environment. A Journal of Brand Design Association of Korea, 19(2), 29-48. DOI : 10.18852/bdak.2021.19.2.29
  6. J. H. Jeon. (2021). A study on the Principle of Metaverse Composition with a focus on Roblox, Korean Association for Visual Culture, 38, 257-279. DOI : 10.21299/jovc.2021.38.10
  7. H. W. Han. (2008). A study on typology of virtual world and its development in Metaverse. Journal of Digital Contens Society, 9(2), 317-323.
  8. D. E. Lee. (2008). Study on place-specific storytelling of virtual world, Master's thesis. Ewha Womans University. Seoul
  9. H. J. Kwon. (2009). Designing Metaverse space for sound and vision: The benefits of co-creation frameworks for multiuser communication environment, Proceedings of the HCI 2009, 1995-1100.
  10. S. H. Kim & D. Y. Lee. (2012). Practical Issues emerging from the instructional design of 3D virtual environments -Focusing on Quest Atlantis and Second Life-. The Korean Journal of Educational Methodology Studies, 24(1), 149-169. https://doi.org/10.17927/TKJEMS.2012.24.1.149
  11. S. J. Park. (2021. 5. 6). Nintento, the best performance last year due to pandemic, Yeon-hap News (Online). https://www.yna.co.kr/view/AKR20210506163700073
  12. ASF. (2007). Metaverse Roadmap Overview (Online). http://www.metaverseroadmap.org/overview/
  13. J. Radoff. (2021. Apr 7). The Metaverse Value-chain. Building the Metaverse. (Online). https://medium.com/building-the-metaverse/the-metaverse-value-chain-afcf9e09e3a7
  14. H. J. Yun. (2008). A study on the goal-oriented narrative structure in the virtual world, Journal of the Korean Society for Computer Game, 14(0), 189-197. DOI : 10.17927/tkjems.2012.24.1.149
  15. Y. S. Hwang et al. (2019). Comparison of user evaluation factors for indie and commercial games. Proceedings of 2019 KMIS Conference, 355-359.
  16. M. Y. Wi et al. (2018). A study on the Elements of Interest for VR Game Users Using Text Mining and Text Network Analysis - Focused on STEAM User Review Data. Journal of Korea Game Society, 18(6), 69-82. DOI : 10.7583/JKGS.2018.18.6.69
  17. W. H. Kim & E. H. Park. (2021). Exploring Game Consumers' Perception in Online Game Community using Text Mining Approach: The Case of Reddit. Journal of Consumption Culture, 24(1), 73-83. DOI : 10.17053/jcc.2021.24.1.004
  18. T. S. Kim. (2019). Elements and Topics of Mobile Games Extracted from Mining User Online Reviews and Online Ratings. Journal of Product Research, 37(5), 67-76. DOI : 10.36345/kacst.2019.37.5.007
  19. I. K. Kim & S. S. Cha. (2020). The Dynamics of Online word-of-mouth and Marketing Performance : Exploring Mobile Game Application Reviews.The Journal of the Korea Contents Association, 20(12), 36-48. DOI : 10.5392/JKCA.2020.20.12.036
  20. K. W. Jung & J. W. Kim. 018). A Study on the Effects of Online Word-of-Mouth on Game Consumers Based on Sentimental Analysis. Journal of Digital convergence, 16(3), 145-156. DOI : 10.14400/JDC.2018.16.3.145
  21. J. G. Shin. (2020). Analysis regarding Complaints of Courier Consumers and Workers in the Parcel Delivery Service by using Topic Model. Journal of Convergence for Information Technology, 10(2), 39-48., DOI : 10.22156/CS4SMB.2020.10.02.039
  22. H. Kim & Y. S. Jeong. (2019). Social Issue Analysis Based on Sentiment of Twitter Users. Journal of Convergence for Information Technology, 9(11), 81-91. DOI : 10.22156/CS4SMB.2019.9.11.081
  23. J. Chang, J. Boyd-Graber, S. Gerrish, C. Wang & D. M. Blei. (2009). Reading tea leaves: How humans interpret topic models. In Advances in neural information processing systems NIPS. 288-296.
  24. D. Newman, J. H. Lau, K. Grieser & T. Baldwin. (2010). Automatic evaluation of topic coherence. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Association for Computational Linguistics, 100-108.
  25. J. Juul. (2005). Half-real: Video games between real rules and fictional words. MIT Press.
  26. R. Caillois. (2018). Man, play and games. (trans by S. R. Lee). Moonye Publishing.
  27. B. Suits. (2005). The Grasshopper: Games, Life and Utopia, Broadview press.