디지털 펫 콘텐츠의 사용자 경험 구조 분석: 다마고치 사례를 중심으로

초록

Tamagotchi is a representative digital pet franchise that develops through user care and interaction. In recent years, it has expanded beyond traditional digital pet experiences through character merchandise, pop-up stores, and collaborative content. This research examined the user experience structure of contemporary Tamagotchi experiences through a text-mining-based network analysis of online community data collected between May 2025 and April 2026. LDA topic modeling and CONCOR analysis were applied to preprocessed text data to identify major semantic structures and user experience clusters associated with Tamagotchi experiences. The results revealed two primary topics: Offline Experience and Product and Character Consumption Experiences. In addition, the CONCOR analysis identified four clusters: offline experiential experiences, character and design experiences, emotional and nostalgic experiences, and play and nurturing experiences. The findings suggest that digital pet content maintains its traditional nurturing-based play experience while expanding into a multifaceted experiential structure that combines character consumption, emotional engagement, and offline experiential activities. This research provides empirical evidence on the user experience structure of digital pet content based on online community data and identifies the key experiential factors that constitute contemporary Tamagotchi experiences.

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