Abstract
This article presents a dataset developed under the EU H2020 SPICE (Social Cohesion, Participation, and Inclusion through Cultural Engagement) project. The dataset serves as a tool for identifying and examining communities that emerge from citizens’ interactions with cultural heritage, capturing key representations of individuals and groups to reveal unexpected connections. An example from a SPICE case study at GAM (Galleria Civica d’Arte Moderna e Contemporanea) in Turin, Italy, illustrates the dataset’s structure, focusing on the interpretation of artworks, with particular attention to the deaf community’s emotional responses. The dataset primarily organizes diverse perspectives, values, and emotions expressed through non-transitive relationships. Initially designed for analyzing narrative identities within museum audiences and communities, the dataset has potential applications in education, social work, and community building.
Lingua originale | Inglese |
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Pagine | 66-76 |
Numero di pagine | 11 |
Stato di pubblicazione | Pubblicato - 2024 |
Evento | IAI4CH 2024 - Artificial Intelligence for Cultural Heritage 2024, 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024) - Bozen-Bolzano, Italy Durata: 1 gen 2024 → … |
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???event.eventtypes.event.conference??? | IAI4CH 2024 - Artificial Intelligence for Cultural Heritage 2024, 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024) |
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Città | Bozen-Bolzano, Italy |
Periodo | 1/01/24 → … |
Keywords
- Cultural Heritage
- Dataset for CH
- Citizen Curation
- Community Modelling
- Museum Interaction
- Social Cohesion