Knowledge Management Research (지식경영연구)

The Knowledge Management Society of Korea (한국지식경영학회)
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Metaverse App Market and Leisure: Analysis on Oculus Apps

메타버스 앱 시장과 여가: 오큘러스 앱 분석

  • Kim, Taekyung (Division of Business Administration, Kwangwoon University) ;
  • Kim, Seongsu (Division of Business Administration, Kwangwoon University)
  • Received : 2022.05.12
  • Accepted : 2022.06.02
  • Published : 2022.06.30
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Abstract

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.

가상현실 게임의 성장과 블록체인 기술의 대중화는 메타버스(metaverse) 산업 생태계 형성에 유의미한 변화를 가져오고 있다. 메타(Meta)가 VR 기기 제조 및 관련 콘텐츠 개발사인 오큘러스(Oculus)를 인수한 이후, 가상현실 콘텐츠 시장의 성장이 가속화되고 있다. 본 연구를 통해 우리는 가상현실 앱 마켓의 콘텐츠를 탐색적으로 분석하여 여가(leisure)가 어떻게 기존의 모바일 앱과 가상현실 앱을 구분 짓고 있는지 탐색적으로 알아보았다. 이를 위해 오큘러스 한국 스토어에 등록된 241개 앱의 장르와 설명을 텍스트 마이닝으로 분석하였다. 그 결과, 앱 카테고리 키워드를 기초로 앱에 대한 준네트워크(quasi-network)를 생성하여 키워드 장르 간 암묵적 지식 네트워크를 시각화하였다. 또한 G&F 역할 프레임워크를 활용하여 여가가 차지하는 상대적 역할을 조명하였다. 추가적으로, 사용자의 리뷰 데이터를 LDA 토픽 모델링 방법으로 분석하였다. 본 연구는 가상현실 하의 메타버스 앱 생태계의 특징을 규명하기 위한 이론 개발의 기초 자료를 제공한다는 점에서 의의가 있다.

Keywords

Acknowledgement

이 논문은 2019년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임 (NRF-2019S1A3A2098438) 이 논문은 2022년 광운대학교 교내학술연구비 지원에 의해 연구되었음(2022-0142)

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