인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
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.
초록·키워드
As digital technologies continue to advance, architecture and urban design are moving beyond physical spaces and increasingly engaging with digital virtual environments. This shift presents new opportunities for virtual spaces to not only serve as alternatives to real-world destinations, but also to complement them by encouraging in-person visits. To explore this potential, persona-based scenario techniques are applied to enhance virtual representations of local attractions. This involves identifying data-driven personas that reflect the behaviors and preferences of the younger generation, followed by the development of tailored scenarios for each group. Based on these scenarios, four primary types of virtual spaces in the metaverse are proposed, each addressing different user needs. The first type, historical learning spaces, offers educational content related to historical events and locations, allowing users to gain knowledge through immersive digital experiences. The second, hidden gem spaces, introduces users to local specialties, cuisine, and natural landscapes, fostering a deeper connection between virtual exploration and real-world locations. The third, screen tourism spaces, features sites made popular through films or television, helping users recall familiar scenes and inspiring interest in visiting these places. The fourth type, shareable spaces, promotes social interaction and information exchange by allowing users to document and share their experiences after visiting. These virtual space design strategies support the creation of rich and varied spatial experiences in the metaverse. By enhancing user engagement and satisfaction, such designs can contribute meaningfully to the revitalization of local tourism.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-25-02-093087416