• Journal of Digital Convergence
• /
• v.16 no.11
• /
• pp.185-199
• /
• 2018

The purpose of this study is to derive the core technologies of VR using patent analysis and to explore the direction of social and public interest in VR using news analysis. In Study 1, we derived keywords using the frequency of words in patent texts, and we compared by company, year, and technical classification. Netminer, a network analysis program, was used to analyze the IPC codes of patents. In Study 2, we analyzed news articles using T-LAB program. TF-IDF was used as a keyword selection method and chi-square and association index algorithms were used to extract the words most relevant to VR. Through this study, we confirmed that VR is a fusion technology including optics, head mounted display (HMD), data analysis, electric and electronic technology, and found that optical technology is the central technology among the technologies currently being developed. In addition, through news articles, we found that the society and the public are interested in the formation and growth of VR suppliers and markets, and VR should be developed on the basis of user experience.

• Journal of Korea Entertainment Industry Association
• /
• v.13 no.5
• /
• pp.59-65
• /
• 2019

The decline of cybersickness, an important task that must be addressed in terms of growth of the virtual reality content industry, is a subject of much attention not only in the industrial sector but also in academia. However, despite the long-standing interest in and research on cybersickness, the solution is insufficient. In this paper, the purpose of this paper is to develop a tool to effectively measure cybersickness when users experience immersive virtual reality, and come up with measures to reduce cybersickness. First, the common factors related to cybersickness were analyzed in the method used in the preceding study, and each was derived as a subcomponent. Based on this, we are going to present an effective cybersickness measurement assessment tool model in immersive virtual reality. We would like to refer the assessment tool model to the study as well as to the reduction of cybersickness.

• Journal of Korea Entertainment Industry Association
• /
• v.13 no.8
• /
• pp.69-76
• /
• 2019

Backed by the fourth industrial revolution as the background of the research, VR, AR and MR have increased interest and wireless Oculus Quest is releasing, creating hardware recall and continuing virtual reality devices, and game software develop or service VR games using such devices. As a result, it is expected that VR game markets will continue to grow in the future. For this purpose, we understand the technical factors of presence and immersion that appear in virtual reality games and should be able to apply them when we produce VR games. Through the process, we analyzed elements of VR game concept, immersion, and presence and analyzed three games that were commercialized. As a suggestion, we need to take into account presence and immersion characteristics when developing and experiencing virtual reality games in the future.

• Journal of the Korea Convergence Society
• /
• v.9 no.11
• /
• pp.227-235
• /
• 2018

The aim of this study is to predict the sensitivity of motion sickness (MS) using pattern of cardinal gaze position (CGP) before experiencing the virtual reality (VR) content. Twenty volunteers of both genders (8 females, mean age $28.42{\pm}3.17$) participated in this experiment. They was required to measure the pattern of CGP for 5 minute, and then watched VR content for 15 minute. After watching VR content, subjective experience for MS reported from participants using by 'Simulator Sickness Questionnaire (SSQ)'. Statistical significance between CGP and SSQ score were confirmed using Pearson correlation analysis and independent t-test, and prediction model was extracted from multiple regression model. PCPA & PCPR indicators from CGP revealed significantly difference and strong or moderate positive correlation with SSQ score. Extracted prediction model was tested using correlation coefficient and mean error, SSQ score between subjective rating and prediction model showed strong positive correlation and low difference.