인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 저자정보
피인용 0
초록·키워드
This study examines how destination information is expressed by previous visitors and visually processed by prospective tourists through a sequential multi-method investigation of Gamcheon Culture Village in Busan, South Korea. Although both post-visit information expression and pre-visit information processing are important in tourism decision-making, their integration within a single empirical framework remains relatively underexplored. First, 7,831 Google Maps reviews were analyzed using R, RStudio, and KH Coder to identify visitor sentiment, review characteristics, and prominent destination-related themes. The results revealed predominantly positive evaluations, with positive reviews accounting for 80.89% of the dataset and the average rating being 4.56. Co-occurrence analysis further showed that visitors commonly discussed the village’s visual and cultural attractions, local amenities and activities, community environment, and accessibility-related features. Drawing on these findings, four destination information cards were developed and evaluated in an eye-tracking experiment involving 69 participants conducted using Tobii Pro Spectrum. The cards systematically varied textual detail and the presence of rating and review-count cues while maintaining consistent destination imagery and core content. Repeated-measures analyses revealed a significant main effect of rating/review-count information on visual attention, whereas the main effect of text amount and the interaction effect were not statistically significant. Although fixation duration for the individual cards showed positive relationships with visiting intention, the overall regression model was not statistically significant, suggesting that visual attention alone may be insufficient to explain behavioral intention. By linking post-visit visitor-generated information with pre-visit visual information processing, this study demonstrates the value of integrating online review analytics and eye-tracking for understanding destination information. The findings provide practical implications for designing destination communication that reflects visitor-relevant attributes while more effectively attracting prospective tourists’ visual attention.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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