Abstract
Galleries, libraries, archives, and museums (GLAM) are distinct but interconnected institutions that play crucial roles in preserving, studying, and sharing knowledge, culture, and heritage (GLAM). Many hold and preserve unique artifacts that they make available to the public in various forms, on-site through exhibitions and displays, and remotely, through digital surrogates such as images, audio/video files, in digital exhibits and through various forms of description such as catalog, archival, and museum records management systems. Oftentimes these artifacts and resources need be delivered to the public in varying modes and for varying reasons: no one description suits all occasions and purpose. Short and accurate descriptions of. GLAM resources and artifacts are vital to the work of public engagement. The appearance of large language models and interfaces to interact with them such as Chatgpt4 opens new opportunities for automatic content creation, while posing also new challenges. In this position paper, we propose to use these new tools as an aid for the curator to create suggestions for content that may be used as descriptions of artifacts while enabling also the adaptation of the content for varied audiences and even to personal preferences.
Original language | English |
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Title of host publication | UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization |
Publisher | Association for Computing Machinery, Inc |
Pages | 496-504 |
Number of pages | 9 |
ISBN (Electronic) | 9798400704666 |
DOIs | |
State | Published - 27 Jun 2024 |
Event | 32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2024 - Cagliari, Italy Duration: 1 Jul 2024 → 4 Jul 2024 |
Publication series
Name | UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization |
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Conference
Conference | 32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2024 |
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Country/Territory | Italy |
City | Cagliari |
Period | 1/07/24 → 4/07/24 |
Bibliographical note
Publisher Copyright:© 2024 ACM.
ASJC Scopus subject areas
- Software