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User Experience Factors in Connected Car Infotainment Applications : Focusing on Text Mining Analysis in the Android Auto Reviews

커넥티드카 인포테인먼트 애플리케이션의 사용자 경험 요인 : 안드로이드 오토 리뷰의 텍스트마이닝 분석을 중심으로

  • Jung Yong Kim (UX track, Graduate School of Information, Yonsei University) ;
  • Su-Eun Bae (UX track, Graduate School of Information, Yonsei University) ;
  • Junho Choi (UX track, Graduate School of Information, Yonsei University)
  • 김정용 (연세대학교 정보대학원 UX전공 ) ;
  • 배수은 (연세대학교 정보대학원 UX전공 ) ;
  • 최준호 (연세대학교 정보대학원 )
  • Received : 2023.07.17
  • Accepted : 2023.08.08
  • Published : 2023.08.31

Abstract

In the future, infotainment systems are expected to play a pivotal role in mobility ecosystems connecting users and vehicles. This study draws user-experience factors from reviews of Android Auto, a car infotainment application, and analyzes factors that affect satisfaction. The user-experience factors of infotainment have been redefined based on previous studies. To analyze actual user-experience factors, topics are obtained, applied, and interpreted from user discourse through topic modeling. Sentiment analysis and logistic regression are used to determine positive and negative user-experience factors that affect satisfaction. Results of the empirical analysis show that Ease of Use and Understandability are factors that have the greatest impact on satisfaction, and Flexibility, Safety, and Playfulness are factors that have the most critical effect on dissatisfaction. Therefore, this paper suggests ways to improve the satisfaction level of the infotainment system, and establishes a strategy accordingly.

미래 모빌리티 환경에서 인포테인먼트 시스템은 사용자와 차량을 연결하는 중추적 역할을 수행할 것으로 예상된다. 이 연구는 커넥티드카 인포테인먼트 애플리케이션인 안드로이드 오토의 사용자 리뷰에서 사용자 경험 요인을 도출하고, 만족도에 영향을 미치는 요인을 분석하여 인포테인먼트 시스템의 만족도 개선 방안을 제안하였다. 이를 위해 인포테인먼트 시스템 사용자 경험 요인을 구성하고, 토픽 모델링을 통해 실제 사용자 리뷰에서 도출한 토픽을 적용하였다. 감성분석과 로지스틱 회귀분석 결과, 만족도에 긍정적 영향을 미치는 요인으로 사용 용이성과 이해 용이성이, 불만족 요인으로 유연성과 안전성, 유희성이 도출되었으며, 이를 기반으로 설계 개선 전략을 제안하였다.

Keywords

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