Earticle

초록

영어

This study examines the psychological mechanisms of the screenlife genre, which utilizes digital interfaces as its primary narrative site. Focusing on key genre characteristics—Real-Time Experience, Sense of Participation, and Digital-based Emotional Expression—the research analyzes their impact on audience flow and recommendation intention. To test these relationships, a structured survey was conducted, and a total of 415 valid responses were statistically analyzed using SPSS 31.0. The results indicate that all screenlife characteristics significantly enhance audience flow, which subsequently drives recommendation intention. Notably, the moderating effect of digital literacy was not statistically significant. These findings suggest that the positive associations between screenlife characteristics and audience flow were broadly consistent across different levels of digital literacy. Theoretically, this study is significant in that it empirically validates that the characteristics of the screenlife genre—previously identified primarily through qualitative discourse—indeed exert a significant influence on audience flow. While prior research has conceptualized these features through case studies, this study provides empirical evidence by statistically confirming their predictive power. Practically, these findings are expected to provide guidance regarding the design elements that may contribute to audience flow in the screenlife genre. By emphasizing intuitive and authentic interface design that is accessible to audiences with diverse levels of digital literacy, this study may offer practical implications for designing more immersive screen-mediated narratives.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Literature Review
2.1 Screenlife Genre Characteristics
2.2 Flow
2.3 Recommendation Intention
2.4 Digital Literacy
2.5 Research Model and Research Hypotheses
Ⅲ. Methods
3.1 Research Design
3.2 Operational Definitions of Variables and Questionnaire Design
Ⅳ. Data Analysis
4.1 Sample Characteristics
4.2 Validity and Reliability Testing
4.3 Correlation Analysis
4.4 Hypothesis Testing
Ⅴ. Conclusions and Implications
References

키워드

저자

• Junyoung Kim [ Graduate Student, Department of Culture and Arts, Dankook University ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  산업혁신연구 [The Journal of Industrial Innovation]

• 간기

  계간

• pISSN

  2005-2936

• eISSN

  2800-0080

• 수록기간

  1985~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 325 DDC 658