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The Effect of the Perceived Waiting Time of Viewers on Negative Emotions, Viewing Satisfaction, Viewing Attitude, and Continuous Viewing Intention When an e-Sports Game Pause

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication 바로가기
  • 통권
    Vol.15 No.4 (2023.12)바로가기
  • 페이지
    pp.342-350
  • 저자
    Juyeon Lee, Seyun Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A440403

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원문정보

초록

영어
The purpose of this study is to find out how the perceived waiting time of viewers of e-sports games affects negative emotions and how these negative emotions affect viewing satisfaction, viewing attitude, and continuous viewing intention. To achieve the purpose of this study, 200 viewers who watched e-sports games more than two to three times were targeted. 197 copies were selected as the final valid sample after excluding three of the collected questionnaires that showed unfaithful answers. For data processing methods, confirmatory factor analysis, reliability analysis, and structural equation model analysis were conducted using SPSS 27 and AMOS 25. Through this, the following results were obtained. First, it was found that the perceived waiting time of the viewer had a significant effect on the viewers' negative emotions in the event of a game pause. Second, viewers' negative emotions were found to have a significant effect on viewing attitudes, but not on viewing satisfaction. Third, it was found that viewing attitude had a significant effect on viewing satisfaction and continuous viewing intention. Fourth, it was found that viewing satisfaction had a significant effect on continuous viewing intention. In other words, the more acceptable and shorter the perceived waiting time due to the suspension of the game pause, the lower the negative emotions of the viewers, and the negative emotions of the viewers ultimately affect the intention to continue watching through viewing attitude and viewing satisfaction.

목차

Abstract
1. Introduction
2. Research Hypothesis
3. Research Method
3.1 Research Subjects
3.2 Research Tools
3.3 Data Analysis
4. Results
4.1 Validity & Reliability Analysis
4.2 Fit of the Model & Hypothesis Test Results
5. Conclusion
Acknowledgement
References

저자

  • Juyeon Lee [ Master’s course, Department of e-Sports, Dankook University Graduate School, Korea ]
  • Seyun Kim [ Assistant Professor, Department of e-Sports, Dankook University Graduate School, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    International Journal of Internet, Broadcasting and Communication
  • 간기
    계간
  • pISSN
    2288-4920
  • eISSN
    2288-4939
  • 수록기간
    2009~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / International Journal of Internet, Broadcasting and Communication Vol.15 No.4

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