Integration of Artificial Intelligence in Art Preservation and Exhibition Spaces
This study aims to explore the application of artificial intelligence (AI) technology in the preservation and exhibition of artworks, with the “Exhibition Environment Status Detection Device and System” and the “Automatic Exhibition Guide System”, developed by Cheng Shiu University, as case studies....
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/2/562 |
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| author | Pin-Chia Huang I-Cheng Li Ching-Yi Wang Cheng-Hsiung Shih Masimukku Srinivaas Wan-Ting Yang Chin-Fang Kao Te-Jen Su |
| author_facet | Pin-Chia Huang I-Cheng Li Ching-Yi Wang Cheng-Hsiung Shih Masimukku Srinivaas Wan-Ting Yang Chin-Fang Kao Te-Jen Su |
| author_sort | Pin-Chia Huang |
| collection | DOAJ |
| description | This study aims to explore the application of artificial intelligence (AI) technology in the preservation and exhibition of artworks, with the “Exhibition Environment Status Detection Device and System” and the “Automatic Exhibition Guide System”, developed by Cheng Shiu University, as case studies. In recent years, AI technology has made significant advancements in image recognition, machine learning, and data analysis, which provide new opportunities for art management. However, due to high costs and implementation challenges, as well as a lack of qualified personnel to use these tools and systems, small art galleries and museums have not yet had the opportunity to acquire such systems. Therefore, this study observes the practical application of the “Exhibition Environment Status Detection Device and System” and the “Automatic Exhibition Guide System” in the fields of art preservation and exhibition. The study employs case study and observation methods, with participatory observation as the primary data collection approach. The results indicate that AI technology significantly enhances the preservation conditions of artworks and the interactivity of exhibitions. The paper suggests that future efforts should focus on long-term planning relating to technology costs and professional talent development to fully realize the potential of AI in art management and exhibition. Additionally, the application of these technologies can be extended to other fields. |
| format | Article |
| id | doaj-art-1f5356dbca994762a11d352f1497cd03 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-1f5356dbca994762a11d352f1497cd032025-01-24T13:19:50ZengMDPI AGApplied Sciences2076-34172025-01-0115256210.3390/app15020562Integration of Artificial Intelligence in Art Preservation and Exhibition SpacesPin-Chia Huang0I-Cheng Li1Ching-Yi Wang2Cheng-Hsiung Shih3Masimukku Srinivaas4Wan-Ting Yang5Chin-Fang Kao6Te-Jen Su7Conservation and Research Center, Cheng Shiu University, Kaohsiung 833301, TaiwanConservation and Research Center, Cheng Shiu University, Kaohsiung 833301, TaiwanDepartment of Cultural Heritage Conservation, National Yunlin University of Science and Technology, Yunlin 64002, TaiwanDepartment of Information Management, Cheng Shiu University, Kaohsiung 833301, TaiwanConservation and Research Center, Cheng Shiu University, Kaohsiung 833301, TaiwanConservation and Research Center, Cheng Shiu University, Kaohsiung 833301, TaiwanConservation and Research Center, Cheng Shiu University, Kaohsiung 833301, TaiwanDepartment of Electronic Engineering, National Kaohsiung University of Sciences and Technology, Kaohsiung 80782, TaiwanThis study aims to explore the application of artificial intelligence (AI) technology in the preservation and exhibition of artworks, with the “Exhibition Environment Status Detection Device and System” and the “Automatic Exhibition Guide System”, developed by Cheng Shiu University, as case studies. In recent years, AI technology has made significant advancements in image recognition, machine learning, and data analysis, which provide new opportunities for art management. However, due to high costs and implementation challenges, as well as a lack of qualified personnel to use these tools and systems, small art galleries and museums have not yet had the opportunity to acquire such systems. Therefore, this study observes the practical application of the “Exhibition Environment Status Detection Device and System” and the “Automatic Exhibition Guide System” in the fields of art preservation and exhibition. The study employs case study and observation methods, with participatory observation as the primary data collection approach. The results indicate that AI technology significantly enhances the preservation conditions of artworks and the interactivity of exhibitions. The paper suggests that future efforts should focus on long-term planning relating to technology costs and professional talent development to fully realize the potential of AI in art management and exhibition. Additionally, the application of these technologies can be extended to other fields.https://www.mdpi.com/2076-3417/15/2/562artificial intelligenceexhibition space digitizationart conservation |
| spellingShingle | Pin-Chia Huang I-Cheng Li Ching-Yi Wang Cheng-Hsiung Shih Masimukku Srinivaas Wan-Ting Yang Chin-Fang Kao Te-Jen Su Integration of Artificial Intelligence in Art Preservation and Exhibition Spaces Applied Sciences artificial intelligence exhibition space digitization art conservation |
| title | Integration of Artificial Intelligence in Art Preservation and Exhibition Spaces |
| title_full | Integration of Artificial Intelligence in Art Preservation and Exhibition Spaces |
| title_fullStr | Integration of Artificial Intelligence in Art Preservation and Exhibition Spaces |
| title_full_unstemmed | Integration of Artificial Intelligence in Art Preservation and Exhibition Spaces |
| title_short | Integration of Artificial Intelligence in Art Preservation and Exhibition Spaces |
| title_sort | integration of artificial intelligence in art preservation and exhibition spaces |
| topic | artificial intelligence exhibition space digitization art conservation |
| url | https://www.mdpi.com/2076-3417/15/2/562 |
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