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How Personalized Recommendations Shape User Immersion in Serialized Content : Evidence from a Digital Comics Platform

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  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    한국경영정보학회 정기 학술대회 바로가기
  • 통권
    2025 한국겨영정보학회 추계학슬대회 (2025.10)바로가기
  • 페이지
    pp.181-187
  • 저자
    Jiwon Lee, Gunwoong Lee
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A476028

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원문정보

초록

영어
Immersion—the state of sustained cognitive and affective absorption during continuous media consumption—is a key determinant of user engagement in serialized digital content platforms. Although recommender systems mediate most user interactions in these environments, their effects on immersion remain theoretically ambiguous. Personalization reduces can search costs and promote narrative continuity, yet it may also lower switching barriers, potentially diverting attention toward alternative titles. To examine how personalization shapes immersive engagement, we conduct a large-scale field experiment on a serialized digital comics platform, comparing personalized recommendations with popularity-based displays. We measure immersion behaviorally as continuous session-level consumption within each narrative series and distinguish between the phases of initial discovery and subsequent continuation. Preliminary results suggest that personalization enhances discovery engagement but may attenuate sustained immersion during continuation, reflecting a tension between curiosity-driven exploration and narrative commitment. These findings advance understanding of recommender system research by clarifying when personalization fosters versus fragments immersion, offering both theoretical refinement and design implications for algorithmic curation in serialized media contexts.

목차

Abstract
Introduction
Literature Review
RSs and User Behavior
Serialized Digital Content and Immersive Consumption
Personalization, Flow, and the Exploration–Commitment Tension
Hypothesis Development
Data and Measurements
Experiment Design
Key Research Variables
Preliminary Results
Immersion Upon Discovery
Immersion for Previously Discovered Titles
Expected Implications
References

키워드

Recommender Systems Personalized Recommendation Popularity-Based Display Immersion Flow Theory Digital Serialized Content

저자

  • Jiwon Lee [ Korea University Business School, Information Systems ]
  • Gunwoong Lee [ Korea University Business School, Information Systems ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국경영정보학회 [The Korea Society of Management information Systems]
  • 설립연도
    1989
  • 분야
    사회과학>경영학
  • 소개
    이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.

간행물

  • 간행물명
    한국경영정보학회 정기 학술대회 [KMIS Conference]
  • 간기
    반년간
  • 수록기간
    1990~2025
  • 십진분류
    KDC 325 DDC 658

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