• Journal of Service Research and Studies
• /
• v.13 no.4
• /
• pp.160-172
• /
• 2023

The metaverse, derived from the fusion of "meta" and "universe," encompasses a three-dimensional virtual realm where avatars actively participate in a range of political, economic, social, and cultural activities. With the recent development of the metaverse, the traditional way of experiencing services is changing. While existing studies have mainly focused on the technological advancements of metaverse services (e.g., scope of technological enablers, application areas of technologies), recent studies are focusing on evaluating the quality of experience (QoE) of metaverse services from a customer perspective. This is because understanding and analyzing service characteristics that determine QoE from a customer perspective is essential for designing successful metaverse services. However, relatively few studies have explored the customer-oriented approach for QoE evaluation thus far. This study conducted an online review analysis using text mining to overcome this limitation. In particular, this study analyzed 227,332 online reviews of the Roblox service, known as a representative metaverse service, and identified points for improving the Roblox service based on the analysis results. As a result of the study, nine service features that can be used for QoE evaluation of metaverse services were derived, and the importance of each feature was estimated through relationship analysis with service satisfaction. The importance estimation results identified the "co-experience" feature as the most important. These findings provide valuable insights and implications for service companies to identify their strengths and weaknesses, and provide useful insights to gain an advantage in the changing metaverse service environment.

• Smart Media Journal
• /
• v.13 no.1
• /
• pp.36-44
• /
• 2024

Metaverse is attracting attention as the development of virtual environment technology and the emergence of untact culture due to the COVID-19 pandemic. In this study, by analyzing users' reviews on the "Zepeto" application, which has recently attracted attention as a metaverse service, we tried to confirm changes in the requirements for the metaverse after the COVID-19 pandemic. To this end, 109,662 reviews of "Zepeto" applications written on the Google Play Store from September 2018 to March 2023 were collected, topics were extracted using LDA topic modeling technique, and topics were analyzed using the Causal Impact technique to examine how topics changed before and after based on "March 11, 2020" when the COVID-19 pandemic was declared. As a result of the analysis, five topics were extracted: application functional problems (topic1), security problems (topic 2), complaints about cryptocurrency (Zem) in the application (topic 3), application performance (topic 4), and personal information-related problems (topic 5). Among them, it was confirmed that security problems (topic 2) were most affected by the COVID-19 pandemic.

• Annual Conference on Human and Language Technology
• /
• 1990.11a
• /
• pp.191-198
• /
• 1990

본 논문에서는 문서 자동 인식 시스템에서 다중 카테고리로 모호하게 인식되어 질 수 있는 조합 심볼을 하나의 메타 심볼로 간주하고, 이 심볼을 fuzzy set theory에 기초를 두어 분석을 하였다. 분석 과정에서는 메타 심볼이 갖는 프리미티브들의 기울기와 길이, 프리미티브들간의 연결 및 프리미티브의 위치등의 어트리뷰트들을 이용하였다. 모호성을 내재하고 있는 메타 심볼들을 ACS(Ambiguous Category Set)의 원소로 간주하였으며, ACS의 원소들은 모호성의 원인을 제공하는 부분패턴들을 공동으로 포함하고 있다. 부분패턴을 구성하고 있는 프리미티브를 분리하여 어트리뷰트 값을 측정하고, 정의한 MF(Membership 함수)의 파라메터로 사용하였다. MF에서 얻어진 MFV(Membership Function Value)는 모호한 메타 심볼이 어떤 카테고리로 분류될 수 있는지를 나타내도록 하였다.

• Quality Improvement in Health Care
• /
• v.12 no.2
• /
• pp.35-40
• /
• 2006

체계적 고찰은 명확히 정의된 문헌검색에 기반하고, 결정된 기준(criteria)을 이용하여 선택된 문헌의 질을 평가하며, 타당성이 입증된 방법으로 분석을 시행하는 리뷰의 한 형태이다. 체계적 고찰은 (1)답을 얻고자 하는 질문을 공식화 하고 이에 대한 프로토콜을 작성하고, (2)해당 질문에 대한 일차 연구를 찾아서 포함시키고 (3)자료의 질을 평가하고, (4)자료를 추출하여 뽑고, (5)자료를 분석하며, (6)결과를 해석하고 보고서를 작성하는 순서로 이루어진다 하지만 체계적 고찰 혹은 메타분석이 모든 문제에 대한 해결책은 아니다. 메타분석이 수행되었다고 하더라도 질이 나쁜 연구가 포함되거나 질 문제를 무시한 경우, 이질성에 대해 적절한 주의를 기울이지 못할 때, 무차별적인 자료 병합으로 결론이 정확하지 않은 경우, 출판 비뚤림, 시간 지체 비뚤림, 이중 출판 비뚤림, 언어 비뚤림, 결과 보고 비뚤림과 같은 보고 비뚤림이 문제가 되는 경우에는 메타분석 혹은 체계적 고찰이 잘못된 결론으로 도달하도록 할 수 있다. 따라서 올바른 방법론에 기초한 체계적 고찰만이 현존하는 모든 근거를 결합하여 올바른 결론으로 이끌 수 있다.

• 한국노년학
• /
• v.38 no.3
• /
• pp.435-452
• /
• 2018

The purpose of this research is to provide synthesized findings on the effect of volunteering among the elderly on their life satisfaction and depression. In order to do that, we conducted a systematic review and meta-analysis from selected studies which were published in Korea. From five databases and three government web sites, 47 research papers were selected based on the eligible criteria and the 53 effect size data were extracted. The results are: The effect size of elderly volunteering on life satisfaction was 0.348 with 95% confidence interval of 0.286 to 0.408. The summary effect of elderly volunteering on depression was -0.310 with 95% confidence interval of -0.439 to -0.169. These findings suggest that elderly volunteering is an effective intervention for their psychosocial health, providing some evidence in the area of volunteering policies and practices.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2020.11a
• /
• pp.759-760
• /
• 2020

최근 사용자, 상품, 그리고 상품의 메타 정보 사이의 관계를 표현한 지식 그래프 (knowledge graph) 가 추천 시스템 분야에서 많은 관심을 받고 있으며 활발히 이용되고 있다. 하지만 기존의 지식 그래프는 각 노드 (사용자, 상품, 메타 정보 등) 사이의 단순한 사실 관계만을 표현하고 있으며, 이는 사용자의 선호도를 정확히 파악하는 데 한계가 있다. 본 논문에서는 지식 그래프의 정보 부족 문제를 보완하기 위해 각 상품에 남겨진 텍스트 리뷰를 감정 분석 (sentiment analysis) 하고, 이를 각 노드 간의 선호도 정보로 활용하여 지식 그래프를 구축하는 방법을 제안한다.

• Environmental and Resource Economics Review
• /
• v.21 no.3
• /
• pp.543-572
• /
• 2012

This paper compared historical energy use from 2000 between Japan and Korea and reviewed literature of mid-and long-term low carbon energy scenarios and plans in both countries released since 2000. In terms of energy use pattern, there are similarities between Korea and Japan; high dependence on energy imports, high proportion of manufacturing industry among OECD countries, closed electricity system disconnected with foreign countries, and high proportion of nuclear power generation with low proportion of renewable electricity despite of high potential of renewable energy. Differences are as follows; decreasing trend in Japan and increasing trend in Korea in terms of energy demand and supply, difficulty of exchanging electricity between regions in Japan unlike Korea, and prospect of nuclear power, that is, curtailing in Japan while expanding in Korea according to governmental plan. Energy Basic Plan in both countries established before nuclear accident in Fukushima required expanding about two times of nuclear energy by 2030, while civil society's energy scenarios suggested reducing energy demand, phasing-out nuclear power, and expanding renewable energy. This paper will serve as a base for future studies about long-term energy scenarios and plan in Japan and Korea.

• Knowledge Management Research
• /
• v.23 no.2
• /
• pp.37-60
• /
• 2022

The growth of virtual reality games and the popularization of blockchain technology are bringing significant changes to the formation of the metaverse industry ecosystem. Especially, after Meta acquired Oculus, a VR device and application company, the growth of VR-based metaverse services is accelerating. In this study, the concept that supports leisure activities in the metaverse environment is explored realting to game-like features in VR apps, which differentiates traditional mobile apps based on a smart phone device. Using exploratory text mining methods and network analysis approches, 241 apps registed in the Oculus Quest 2 App Store were analyzed. Analysis results from a quasi-network show that a leisure concept is closely related to various genre features including a game and tourism. Additionally, the anlaysis results of G & F model indicate that the leisure concept is distictive in the view of gateway brokerage role. Those results were also confirmed in LDA topic modeling analysis.

• Journal of Korea Multimedia Society
• /
• v.13 no.3
• /
• pp.475-486
• /
• 2010

Contents Recommender System predicts user's preferences towards contents, and then recommends highly-predicted contents to user. Digital Identifier plays its part in identifying abstract works or digital contents in digital network environment. Digital Identifier could be effectively used in content-based filtering and collaborative filtering that are mainly used in Contents Recommender Systems. Therefore, this paper proposes an improvement of UCI metadata and resolution service for effective use of UCI in massive contents recommender systems. UCI metadata is expanded by adding elements such as abstract, keyword, genre, age, rate and review. Resolution service allows the operation systems to collect user preference for content by including input part of preference in a result page. This paper also designs and implements an improved UCI operation system and shows that the proposed improvement of UCI metadata and resolution service could be used for massive contents recommendation.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2013.11a
• /
• pp.964-965
• /
• 2013

본 연구에서는 사용자의 감성 정보를 기반으로 한 영화 추천 시스템을 설계 및 구현하였다. 이를 위하여 영화 리뷰에서 기본적인 4가지 감성을 뜻하는 단어를 추출 및 분류하고, MovieLens Dataset의 메타데이터에 추가한 후 협업 필터링을 사용하여 영화를 추천한다.