Journal of Practical Engineering Education (실천공학교육논문지)

Korean Institute for Pratical Engineering Education (한국실천공학교육학회)
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The Perception Analysis of Autonomous Vehicles using Network Graph

네트워크 그래프를 활용한 자율주행차에 대한 인식 분석

  • Hyo-gyeong Park (Department of Computer Science and Engineering, Korea University of Technology and Education) ;
  • Yeon-hwi You (Department of Computer Science and Engineering, Korea University of Technology and Education) ;
  • Sung-jung Yong (Department of Computer Science and Engineering, Korea University of Technology and Education) ;
  • Seo-young Lee (Department of Computer Science and Engineering, Korea University of Technology and Education) ;
  • Il-young Moon (Department of Computer Science and Engineering, Korea University of Technology and Education)
  • 박효경 (한국기술교육대학교 컴퓨터공학과) ;
  • 유연휘 (한국기술교육대학교 컴퓨터공학과) ;
  • 용성중 (한국기술교육대학교 컴퓨터공학과) ;
  • 이서영 (한국기술교육대학교 컴퓨터공학과) ;
  • 문일영 (한국기술교육대학교 컴퓨터공학과)
  • Received : 2023.03.31
  • Accepted : 2023.04.24
  • Published : 2023.04.30
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Abstract

Recently, with the development of artificial intelligence technology, many technologies for user convenience are being developed. Among them, interest in autonomous vehicles is increasing day by day. Currently, many automobile companies are aiming to commercialize autonomous vehicles. In order to lay the foundation for the government's new and reasonable policy establishment to support commercialization, we tried to analyze changes and perceptions of public opinion through news article data. Therefore, in this paper, 35,891 news article data mentioning terms similar to 'autonomous vehicles' over the past three years were collected and network analyzed. As a result of the analysis, major keywords such as 'autonomous driving', 'AI', 'future', 'Hyundai Motor', 'autonomous driving vehicle', 'automobile', 'industrial', and 'electric vehicle' were derived. In addition, the autonomous vehicle industry is developing into a faster and more diverse platform and service industry by converging with various industries such as semiconductor companies and big tech companies as well as automobile companies and is paying attention to the convergence of industries. To continuously confirm changes and perceptions in public opinion, it is necessary to analyze perceptions through continuous analysis of SNS data or technology trends.

최근 인공지능 기술의 발달에 따라 사용자의 편의성을 위한 기술이 많이 개발되고 있다. 그중 자율주행차에 대한 관심이 나날이 증가하고 있다. 현재 많은 자동차 기업에서 자율주행차 상용화를 목표로 하고 있다. 상용화를 뒷받침할 정부의 새롭고 합리적인 정책 수립의 기반을 조성하기 위하여 뉴스 기사 데이터를 통해 여론의 변화와 인식을 분석하고자 하였다. 따라서 본 논문에서는 최근 3년간 자율주행차와 유사한 용어가 언급된 뉴스 기사 데이터 35,891건을 수집하고, 네트워크 분석하였다. 분석결과, '자율주행', 'AI', '미래', '현대자동차', '자율주행차', '자동차', '산업', '전기차' 등의 주요 키워드가 도출되었다. 또한, 자율주행차 산업은 자동차 기업뿐만 아니라, 반도체 기업, 빅테크 기업 등 다양한 산업과 융합되며 더욱 빠르고 다양한 플랫폼과 서비스 산업으로 발전하고 있으며, 산업의 융복합에 주목하고 있는 것으로 나타났다. 여론의 변화와 인식을 지속적으로 확인하기 위해 SNS 데이터나 기술 트렌드의 지속적인 분석을 통한 인식 분석이 필요할 것으로 판단된다.

Keywords

Acknowledgement

이 논문은 2023년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업(No.2021R1I1A3057800) 및 2023년도 한국기술교육대학교 교수 교육연구진흥과제 지원에 의하여 연구되었음.

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