• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.365-366
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• 2023

메타버스는 점차 빠른 속도로 발전되며 응용 분야가 확대되고 있다. 스포츠 분야에서 다양한 메타버스 시도가 이루어지고 있으며, 축구, 야구, 농구 등 인기 종목에 대한 메타버스 구축 및 운영이 이루어지고 있다. 그러나 사용자의 새로운 경험을 이끌어 내기보다, 오프라인 대체 수단으로 활용되고 있다. 본 연구에서는 웨어러블 디바이스를 통해 사용자 생체 정보를 수집하여 메타버스에 적용 가능한 데이터로 가공하는 과정에 대한 연구내용을 기술한다.

• Fashion & Textile Research Journal
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• v.24 no.6
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• pp.707-718
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• 2022

The metaverse is emerging as the next digital environment for people not only to interact and collaborate with others, but also to have virtual consumption experiences. In this study, virtual fashion items for the consumer's digital self are deemed significant products with consumption value. Drawing from the regulatory focus theory, this study examines how consumers' promotion and prevention focus influence value perception and buying behaviors of virtual fashion items in the metaverse context. The data were collected through an online survey. A total of 546 consumers in their twenties who are aware of the metaverse responded to a self-administered questionnaire. The results showed that promotion focus influenced all the perceived consumption values of virtual fashion items such as the economic, visual authority, hedonic, and social value, whereas prevention focus influenced only the visual authority value. Visual authority value negatively affected both purchase intention and willingness to pay premium price, while others had a positive effect. The findings provide theoretical evidence that consumers' regulatory focus is critical in buying virtual fashion items and suggest that marketers devise effective strategies to stimulate consumers' regulatory focus and to emphasize the economic, hedonic, and social value of the items in the metaverse context.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.3
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• pp.560-576
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• 2023

Drawing on gamification affordance theory, this study examines the relationships among key affordances of avatar fashion styling, perceived enjoyment, and engagement behavior intentions-defined as the intention to share content on avatars in the metaverse platform-and the moderating role of metaverse familiarity. Based on survey data collected from 198 Korean ZEPETO users with avatar fashion styling experience, the hereby proposed research model was tested with structural equation modeling. The results demonstrated that self-expression and competition positively influenced perceived enjoyment, which subsequently affected customers' engagement behavior intention. Furthermore, metaverse familiarity as a moderating effect intensified the positive association between affordances and perceived enjoyment as well as between perceived enjoyment and engagement behavior intentions. The individual interaction effect of each affordance dimension on perceived enjoyment was different, with self-expression having a greater influence on enjoyment among the high-familiarity group and competition having a greater influence on enjoyment among the low-familiarity group. Considering that users with low metaverse familiarity might have higher needs for social interaction for adaptation, competition, being more socially triggering, might have affected these users more crucially.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.3
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• pp.493-503
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• 2024

This paper addresses the issue of continuous user authentication within the metaverse environment. Recently, the metaverse plays a vital role in personal interaction, entertainment, education, and business, bringing forth significant security concerns. Particularly, vulnerabilities related to user identity verification have emerged as a major issue. This research proposes a novel method to verify identities by analyzing users' character movements in the metaverse through a pose estimation model. This method uses only video data for authentication, allowing flexibility in limited environments, and investigates how character movements contribute to user identification through various experiments. Furthermore, it explores the potential for extending this approach to other digital platforms. This research is expected to significantly contribute to enhancing security and innovating user identity verification methods in the metaverse environment.

• Journal of Industrial Convergence
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• v.20 no.6
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• pp.27-35
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• 2022

The purpose of this study is to analyze the metaverse-related issues in the news big data from an educational perspective, explore their characteristics, and provide implications for the educational applicability of the metaverse and future education. To this end, 41,366 cases of metaverse-related data searched on portal sites were collected, and weight values of all extracted keywords were calculated and ranked using TF-IDF, a representative term weight model, and then word cloud visualization analysis was performed. In addition, major topics were analyzed using topic modeling(LDA), a sophisticated probability-based text mining technique. As a result of the study, topics such as platform industry, future talent, and extension in technology were derived as core issues of the metaverse from an educational perspective. In addition, as a result of performing secondary data analysis under three key themes of technology, job, and education, it was found that metaverse has issues related to education platform innovation, future job innovation, and future competency innovation in future education. This study is meaningful in that it analyzes a vast amount of news big data in stages to draw issues from an education perspective and provide implications for future education.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.1-9
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• 2021

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.

• Journal of Industrial Convergence
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• v.20 no.11
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• pp.185-190
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• 2022

Since COVID-19, digital transformation has been taking place in the entire industry, and Metaverse is attracting attention as an untect service. Therefore, this study aims to find out about brand experience marketing cases using metaverse targeting beauty brands. This study reviewed previous studies related to metaverse marketing and beauty brand marketing. SK-II, Christian Dior used VR technology to provide users with contents and experience of brand products, and L'Oreal, Sephora, Laneige used AR technology to provide virtual makeup applications. It's believed that this experience marketing will have a positive effect on customers' purchase intention and its importance will increase further to target Z Generation. It's expected that this study can be used as related data in the metaverse and experience marketing of beauty brands, and research on metaverse marketing should be continued in the beauty field.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.515-520
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• 2022

Metaverse is at the center of heated debates in many areas recently. Coupled with real world, metaverse is extending its domain into social and cultural activities in addition to economic value creation as untact activities increase. Global companies are investing in R&D for metaverse. The reason is that metaverse is supposed to create new value by converging virtual and real worlds thanks to technology advancement such as AI, big data, 3D graphic, 5G, cloud computing, etc. Thus, innovative changes are expected in the economic, social and cultural areas. However, there are many problems to be solved yet for connecting virtual world and real one. Also, epoch-making development of products and services should be done for realistic experience and profit creation using virtual space in various industries beyond untact social activities against pandemic situation. The essence, present condition, development and its application areas of metaverse will be analyzed, and expected problems researched so that the strategy and methodology for securing global competitiveness will be addressed in coming metaverse era.

• Journal of Broadcast Engineering
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• v.27 no.5
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• pp.694-702
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• 2022

This paper is the UX-based technology strategy research which is a solution to how conversational AI can be ethically evolved in the Metaverse environment. Since conversational AI influences people's on-offline decision-making factors through interaction with people, the Metaverse AI ethics must be reflected. In the machine learning process of conversational AI, cultural codes along with user's personal experience data must be included and considered to reduce the error value of user experience. Through this, the super-personalized Metaverse service can evolve ethically with social values. With above hypothesis as a result of the study, a conceptual model of a forward-looking perspective was developed and proposed by adding user experience data to the machine learning (ML) process for context-based interactive AI in the Metaverse service environment.

• 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.