• Title/Summary/Keyword: Metaverse Platforms

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Metaverse Fashion Design Characteristic Comparison Analysis -Focused on Asian Platforms that are Popular in the Republic of Korea-

  • HeeSeon Kim
    • Journal of Fashion Business
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    • v.27 no.6
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    • pp.85-98
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    • 2023
  • People nowadays must adapt to and live with a new software idea known as the "Metaverse" due to an inevitable shift in lifestyle brought on by pandemic effects. However, since the Covid-19 became an endemic, the enthusiasm towards the metaverse platform decreased significantly. But the potential of the metaverse remains a significant area of interest. Experiencing developments in technology can serve as a substantial lesson for the future. Notable metaverse platforms in the Republic of Korea so far include domestic companies such as ZEPETO, IFLAND, ZEP, and the Singaporean company BONDEE. Various metaverse platforms are being launched, and various studies are proceeding. However, there is still value in research specifically analyzed in the field of fashion. In this study, by comparing and analyzing the fashion design on the metaverse platforms ZEPETO, IFLAND, ZEP, and BONDEE, which are well-known in the Republic of Korea, metaverse fashion can be categorized into three types: 'Daily Type,' 'Costume Type,' and 'Unrealistic Type.' Analyzing these types revealed three characteristics of metaverse fashion design: realizable, playfulness, and expressiveness. This study holds significance in gaining foresight and a consistent interest in metaverse fashion by comparing and analyzing the fashion designs of well-known metaverse platforms in Korea.

The Effects of User Experience-Based Design Innovativeness on User-Metaverse Platform Channel Relationships in South Korea

  • JEON, Joo-Eon
    • Journal of Distribution Science
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    • v.19 no.11
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    • pp.81-90
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    • 2021
  • Purpose: The purpose of this research is that Metaverse platforms' UXBDI can be distinguished among Metaverse platform channel types. Metaverse platform represents a collective term signifying services that include augmented reality, lifelogging, mirror worlds, and virtual worlds. User Experience-Based Design Innovativeness (UXBDI) is characterized by novelty in product design and services that satisfy user experience. This study examined the effect of Metaverse platforms' UXBDI on user-Metaverse platform relationships. Research design, data and methodology: Metaverse platform users were selected as samples, and a marketing research institution known as a panel company conducted the survey. It used multiple regression to test the impact on platform identification and commitment based on a survey of 442 South Korean respondents. Results: The research confirmed that UXBDI sub-dimensional scales of attractiveness and interaction increased user-Metaverse platform identification and commitment. Also, a Metaverse platform identity increased user-Metaverse platform identification in virtual and mirror worlds. Conclusion: This study contributes to multiple academic fields. First, the UXBDI of Metaverse platforms appears to be a key component of ongoing user-Metaverse relationships. Second, UXBDI affects relationships differently based on the Metaverse platform type.

Research on the Open World System of Metaverse Content <Ready Player One>

  • JungWoo Lee;Jeanhun Chung
    • International Journal of Advanced Culture Technology
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    • v.11 no.4
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    • pp.322-327
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    • 2023
  • Recent advances in augmented reality (AR) and virtual reality (VR) technologies have led to a significant increase in metaverse platforms. Metaverses are setting a new direction for the digital world. This paper examines the phenomenon of virtual worlds that are becoming an issue these days, focusing on [Ready Player One]. One of the common features of the metaverse platform in [Ready Player One] and the platforms currently in use is the concept of open world. This is a feature that goes beyond simply moving around in a virtual world and allows users to freely reset, participate in, and control the environment. This innovative concept is a hallmark of metaverse platforms, and it is becoming increasingly important and influential. Through this study, we focused on the [open world system] of the platform in the movie and the modern metaverse platform, and suggested and studied how the scalability of the metaverse will present a turning point in the future.

A Study on the Possibilities of Using Metaverse in Mathematics Education (수학교육에서 메타버스의 활용 가능성에 대한 소고)

  • Park, Mangoo
    • Journal of the Korean School Mathematics Society
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    • v.25 no.4
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    • pp.397-422
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    • 2022
  • The purpose of this study was to explore the possibilities of using the Metaverse in mathematics education. The use of the Metaverse started for commercial purposes, and now its use is expanding to all areas, including education. For this study, the researcher analyzed preceding studies related to the Metaverse and the domestic Metaverse platforms for mathematics education in Korea. As a result of the study, the use of Metaverse for mathematics education is still in its beginning stage, and most of the content is limited to mathematical games. However, there are a lot of opportunities and possibilities for mathematics education with Metaverse, and we need to develop the Metaverse platforms specialized for mathematics education with high-quality mathematics content. The researcher suggested to build infrastructure and operate a national level educational Metaverse platform, develop math-specific Metaverse platforms and mathematical content based on field-tested research on the use of the Metaverse platforms. The researcher also emphasized the necessity of teacher education programs for teachers to strengthen the utilization capacity of the Metaverse for mathematics education.

Standardization Trends in Interoperability between Metaverse Platforms (메타버스 상호연동 표준화 동향)

  • H.Y. Jung;S.G. Khang
    • Electronics and Telecommunications Trends
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    • v.38 no.3
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    • pp.78-85
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    • 2023
  • This paper presents a review of standardization activities toward the interoperability between different metaverse platforms, which is a research hotspot in the metaverse. The metaverse is often considered as the evolution of the current mobile Internet. Like for the Internet, interoperability is essential to provide continuous user experiences over different metaverse service environments. However, current metaverses have limitations in providing interoperability in terms of portability of services, digital objects, such as identity and avatars, and economic systems. To address these limitations, the metaverse industry and open-source communities have recently begin to develop metaverse interworking standards. We describe activities conducted by various representative standardization bodies such as the Metaverse Standardization Forum, W3C (World Wide Web Consortium) Open Metaverse Interoperability, Open Metaverse Foundation, Open Metaverse Alliance for Web3, and Metaverse Alliance. In addition, we discuss how to counteract interoperability issues from the Korean perspective.

Robust Sentiment Classification of Metaverse Services Using a Pre-trained Language Model with Soft Voting

  • Haein Lee;Hae Sun Jung;Seon Hong Lee;Jang Hyun Kim
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.9
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    • pp.2334-2347
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    • 2023
  • Metaverse services generate text data, data of ubiquitous computing, in real-time to analyze user emotions. Analysis of user emotions is an important task in metaverse services. This study aims to classify user sentiments using deep learning and pre-trained language models based on the transformer structure. Previous studies collected data from a single platform, whereas the current study incorporated the review data as "Metaverse" keyword from the YouTube and Google Play Store platforms for general utilization. As a result, the Bidirectional Encoder Representations from Transformers (BERT) and Robustly optimized BERT approach (RoBERTa) models using the soft voting mechanism achieved a highest accuracy of 88.57%. In addition, the area under the curve (AUC) score of the ensemble model comprising RoBERTa, BERT, and A Lite BERT (ALBERT) was 0.9458. The results demonstrate that the ensemble combined with the RoBERTa model exhibits good performance. Therefore, the RoBERTa model can be applied on platforms that provide metaverse services. The findings contribute to the advancement of natural language processing techniques in metaverse services, which are increasingly important in digital platforms and virtual environments. Overall, this study provides empirical evidence that sentiment analysis using deep learning and pre-trained language models is a promising approach to improving user experiences in metaverse services.

A comparative study of the Metaverse platforms through college students'experiences using the Metaverse

  • Sanghui Park;Kiyoon Kim
    • International Journal of Advanced Culture Technology
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    • v.12 no.2
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    • pp.110-118
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    • 2024
  • This study was conducted to analyze the metaverse usage behavior of college students through in-depth interviews and to explore the characteristics of the major metaverse platforms with a focus on keywords. This study derived elements such as metaverse participation activities, real-world order, metaverse system, presence, and self-expression from previous research. This study examined how college students who use the metaverse perceive these variables. We present the following research results: First, the college students who participated in the study showed interest in content with many interactive elements on the metaverse platform and appeared to participate more actively in such content. Second, college students cited the ability to engage in economic activities in the metaverse as their greatest strength. It was expected that social norms applied in the real world would also be applied in the metaverse. Third, the Metaverse system, such as the Metaverse UI, UX, and servers, was found to be a factor that needs to meet users' expectations and hinders immersion. In this study, the characteristics of the metaverse platform were analyzed, focusing on essential keywords from in-depth interviews. The analysis results are as follows: It was expressed with keywords such as Zepeto has 'avatar' and 'personality expression,' Ifland has 'free decoration' and 'communication convenience,' Gathertown has 'movement convenience' and 'video chat.' Roblox has 'game-based' and 'dynamic.'

A Study on the Applicability of the Architectural design process using the Metaverse Experience and Technology - Case studies of Metaverse Platforms (메타버스의 경험과 기술을 활용한 건축설계 프로세스의 적용가능성에 관한 연구)

  • Chun, Soo-Kyung;Cha, Seung-Hyun
    • Journal of KIBIM
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    • v.13 no.2
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    • pp.16-28
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    • 2023
  • The concept of the Metaverse has been around not only for play but also for daily use. The interest in Metaverse is increasing, and various industries such as medicine, media, and financial started to use the new technology for diverse purposes. In addition, interest in the Metaverse is increasing in the architectural industry, but not much research has been done yet. Recently, some studies started to study focusing on the architectural design of Metaverse and the technological characteristics of Metaverse. However, there are limited studies about the utilization of the Metaverse in the architectural design process or construction process. From this perspective, the study aims to analyze the applicability of the Metaverse in the architectural design process through Metaverse case studies. In order to accomplish the research goal, the study classified user experience and technology of Metaverse in the literature review and Metaverse use in other industries such as commercial, medical, media entertainment, and construction industry. Then, this study analyzes six representative Metaverse platforms according to the application of Metaverse in the architectural design process. Finally, this study discussed the future direction and potential of Metaverse application in the Architectural design process.

Metaverse Platform Customer Review Analysis Using Text Mining Techniques (텍스트 마이닝 기법을 활용한 메타버스 플랫폼 고객 리뷰 분석)

  • Hye Jin Kim;Jung Seung Lee;Soo Kyung Kim
    • Journal of Information Technology Applications and Management
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    • v.31 no.1
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    • pp.113-122
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    • 2024
  • This comprehensive study delves into the analysis of user review data across various metaverse platforms, employing advanced text mining techniques such as TF-IDF and Word2Vec to gain insights into user perceptions. The primary objective is to uncover the factors that contribute to user satisfaction and dissatisfaction, thereby providing a nuanced understanding of user experiences in the metaverse. Through TF-IDF analysis, the research identifies key words and phrases frequently mentioned in user reviews, highlighting aspects that resonate positively with users, such as the ability to engage in creative activities and social interactions within these virtual environments. Word2Vec analysis further enriches this understanding by revealing the contextual relationships between words, offering a deeper insight into user sentiments and the specific features that enhance their engagement with the platforms. A significant finding of this study is the identification of common grievances among users, particularly related to the processes of refunds and login, which point to broader issues within payment systems and user interface designs across platforms. These insights are critical for developers and operators of metaverse platforms, suggesting a focused approach towards enhancing user experiences by amplifying positive aspects. The research underscores the importance of continuous improvement in user interface design and the transparency of payment systems to foster a loyal user base. By providing a comprehensive analysis of user reviews, this study offers valuable guidance for the strategic development and optimization of metaverse platforms, ensuring they remain responsive to user needs and continue to evolve as vibrant, engaging virtual environments.

Analysis of Reviews from Metaverse Platform Users Based on Topic Modeling

  • Jung Seung Lee
    • Journal of Information Technology Applications and Management
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    • v.31 no.3
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    • pp.93-104
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    • 2024
  • This study conducts an in-depth analysis of user reviews from three leading metaverse platforms - Minecraft, Roblox, and Zepeto - using advanced topic modeling techniques to uncover key factors for business success. By examining a substantial dataset of user feedback, we identified and categorized the main themes and concerns expressed by users. Our analysis revealed that common issues across all platforms include technical functionality problems, user engagement and interest, payment concerns, and connection difficulties. Specifically, Minecraft users highlighted the importance of adventure and creativity, Roblox users expressed significant concerns about security and fraud, and Zepeto users focused heavily on the fairness of the in-game economy. The findings suggest that for metaverse platforms to achieve sustained success, they must prioritize the resolution of technical issues, enhance features that foster user engagement, ensure reliable connectivity, and address platform-specific concerns such as security for Roblox and payment fairness for Zepeto. These insights provide valuable guidance for developers and business strategists, emphasizing the need for robust technical infrastructure, engaging and diverse content, seamless user access, and transparent and fair economic systems. By addressing these key areas, metaverse platforms can improve user satisfaction, build a loyal user base, and secure long-term success in an increasingly competitive market.