디지털융복합연구 (Journal of Digital Convergence)

  • 제16권11호
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  • Pages.185-199
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  • 2018
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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특허와 뉴스 기사를 이용한 가상현실 기술에 관한 탐색적 연구

An Exploratory Study of VR Technology using Patents and News Articles

  • 김성범 (금오공과대학교 IT융합학과)
  • Kim, Sungbum (Department of IT Convergence, Kumoh National Institute of Technology)
  • 투고 : 2018.08.20
  • 심사 : 2018.11.20
  • 발행 : 2018.11.28
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초록

이 연구의 목적은 가상현실(VR)의 핵심기술을 특허 분석을 통해서 도출하고 VR에 대한 사회와 대중의 관심을 뉴스 분석을 통해서 탐색하는 것이다. 연구1에서는 특허 텍스트의 단어 출현 빈도를 이용하여 핵심 키워드를 도출하고 업체별, 연도별, 기술 분류별 비교를 하였으며, 네트워크 분석 프로그램인 넷마이너를 사용하여 특허의 IPC 코드를 분석하였다. 연구2에서는 뉴스 기사의 텍스트를 내용분석 도구인 T-LAB 프로그램을 사용하여 분석하였다. 키워드 선정을 위해 TF-IDF를 사용하였고, 카이제곱과 연관지수(Association index) 알고리즘을 사용하여 VR과 관련성이 높은 단어를 추출하였다. 이 연구를 통해 VR 기술이 광학과 머리착용디스플레이(HMD), 데이터 분석, 전기, 전자 기술을 포함하는 융합기술임을 확인하였고, 광학기술이 중심적 기술임을 발견하였다. 뉴스 기사를 통해서는 대중은 VR 공급업체와 시장의 형성과 성장에 관심을 가지며 VR은 사용자 경험에 기초해서 개발되어야 함을 도출하였다.

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.

키워드

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Fig. 1. Analysis of Community (IPC-4 digit)

DJTJBT_2018_v16n11_185_f0002.png 이미지

Fig. 2. VR related News articles

DJTJBT_2018_v16n11_185_f0003.png 이미지

Fig. 3. Deriving the coefficient of associationnij= EC_AB, Nj=EC_A, Ni= EC_B, N= Total EC

Table 1. Number of Articles by Journal (2010~Jan. 2018)

DJTJBT_2018_v16n11_185_t0001.png 이미지

Table 2. Methodology and Analysis

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Table 3. Top 20 Keyword by Period

DJTJBT_2018_v16n11_185_t0003.png 이미지

Table 4. Top 20 Keyword by Players

DJTJBT_2018_v16n11_185_t0004.png 이미지

Table 5. Top 20 Keyword by IPC code

DJTJBT_2018_v16n11_185_t0005.png 이미지

Table 6. Analysis of Centrality (IPC- 4 digit)

DJTJBT_2018_v16n11_185_t0006.png 이미지

Table 7. Analysis of Centrality (IPC- 7 digit)

DJTJBT_2018_v16n11_185_t0007.png 이미지

Table 8. IPC Code Description

DJTJBT_2018_v16n11_185_t0008.png 이미지

Table 9. IPC codes and technology sector by Community

DJTJBT_2018_v16n11_185_t0009.png 이미지

Table 10. Keyword selection based on TF-IDF

DJTJBT_2018_v16n11_185_t0010.png 이미지

Table 11. Words associated with VR

DJTJBT_2018_v16n11_185_t0011.png 이미지

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