Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Effect of Flow Factors on the Continuing Use of VR video Contents and HMD

플로우(flow)의 요인이 VR 영상콘텐츠와 HMD의 지속이용에 미치는 영향 연구

  • Lee, Junsang (Department of Product Design Engineering, Dong-Eui University) ;
  • Park, Jun-Hong (Department of Business Administration, Honam University)
  • Received : 2019.04.25
  • Accepted : 2019.05.08
  • Published : 2019.07.31
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Abstract

Recently, VR technology has been able to enjoy VR content using HMD due to changes in hardware and displays. VR video contents and HMD are becoming interactive through human senses and computer interfaces. Based on flow based on VR user's perspective, VR video contents and HMD were approached as subjects for continuous use. The components of the independent variable Flow were set up in real life, immersion, and interaction. Data from 400 male and female users of 450 users commissioned by the survey agency were used in the study. Research shows that first flow influences VR video contents and continuous use. Second, flow has been shown to affect HMD and its continued use. Among the flow factors that enhance the persistence of VR video content and HMD, which act as the greatest influence was studied. Through this research, the company aims to help establish direction of the next-generation VR industry

최근 VR 기술은 하드웨어와 디스플레이의 변화로 인해 HMD를 이용한 VR 콘텐츠를 즐길 수 있게 되었다. VR 영상콘텐츠와 HMD는 인간의 오감과 컴퓨터의 인터페이스를 통해 상호작용이 가능해지고 있다. VR 이용자 관점에서 플로우를 기반으로 VR 영상콘텐츠와 HMD의 지속이용에 관한 주제로 접근하였다. 독립변수인 Flow의 구성 요인을 실재감이나 몰입감, 상호작용으로 설정하였다. 설문조사 기관을 통해 의뢰한 450명의 이용자 중 400명의 남녀 이용자들의 자료를 연구에 활용하였다. 연구결과, 첫째 플로우는 VR 영상콘텐츠와 지속이용에 영향을 미치는 것으로 나타났다. 둘째 플로우는 HMD와 지속이용에 영향을 미치는 것으로 나타났다. VR 영상콘텐츠와 HMD의 지속이용을 높이는 플로우 요인 중 가장 큰 영향력으로 작용하는 요인이 무엇인지를 연구하였다. 본 연구결과를 통하여 차세대 VR 산업의 방향성 수립에 도움이 되고자 한다.

Keywords

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Fig. 1 Model of Study

Table. 1 Results of Reliability and Feasibility Analysis

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Table. 2 Result of Correlation coefficient and discriminant validity analysis

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Table. 3 multiple Regression analysis result

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Table. 4 multiple Regression analysis result

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Table. 5 multiple Regression analysis result

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Table. 6 multiple Regression analysis result

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