論文 A systematic review of digital transformation technologies in museum exhibition

Jingjing Li ; Xiaoyang Zheng ORCID (National Institute for Materials Science) ; Ikumu Watanabe SAMURAI ORCID (National Institute for Materials Science) ; Yoichi Ochiai

コレクション

引用
Jingjing Li, Xiaoyang Zheng, Ikumu Watanabe, Yoichi Ochiai. A systematic review of digital transformation technologies in museum exhibition. Computers in Human Behavior. 2024, 161 (), 108407. https://doi.org/10.1016/j.chb.2024.108407
SAMURAI

説明:

(abstract)

Museum exhibitions, both temporary and permanent, form an essential link between a society and its cultural, historical, and artistic heritage sites. Curating artifacts and thematic displays in museum exhibitions can promote dialogue, foster cultural appreciation, and contribute to heritage preservation. The traditional way of holding museum exhibitions, heavily reliant on the expertise of designers and curatorial staff, makes them a labor-intensive process, from conceptualization to visitor engagement analysis. This review systematically compiles and examines how the application of digital transformation technologies (DTTs) have revolutionized museum exhibitions and augmented their future potential. DTTs such as artificial intelligence, immersive technologies, additive manufacturing, the Internet of Things, and cloud computing can help create engaging designs, improve accessibility and inclusivity, enhance educational potential, and allow for sophisticated visitor experience data collection and analysis, improving exhibit management. However, despite multiple specialized studies on DTTs and their roles in museum exhibitions, the connections between technology and application scenarios remain underexplored. By addressing this gap, this study is expected to inform and inspire practitioners in the museum and heritage sectors and present new research avenues for scholars.

権利情報:

キーワード: Digital transformation technologies, Museum exhibitions, Cultural heritage, Visitor experience, Technology and application scenario

刊行年月日: 2024-08-10

出版者: Elsevier BV

掲載誌:

  • Computers in Human Behavior (ISSN: 07475632) vol. 161 p. 108407-108407 108407

研究助成金:

  • Japan Science and Technology Agency JPMJSP2124

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1016/j.chb.2024.108407

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更新時刻: 2024-09-20 16:30:19 +0900

MDRでの公開時刻: 2024-09-20 16:30:20 +0900

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