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Abstract
This document describes the rationale, the implementation and a preliminary evaluation of a semantic reasoning tool developed in the EU H2020 SPICE project to enhance the diversity of perspectives experienced by museum visitors. The tool, called DEGARI 2.0 for values, relies on the commonsense reasoning framework, and exploits an ontological model formalizing the Haidt's theory of moral values to associate museum items with combined values and emotions. Within a museum exhibition, this tool can suggest cultural items that are associated not only with the values of already experienced or preferred objects, but also with novel items with different value stances, opening the visit experience to more inclusive interpretations of cultural content. The system has been preliminarily tested, in the context of the SPICE project, on the collection of the Hecht Museum of Haifa.
Original language | English |
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Title of host publication | UMAP'22 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization |
Number of pages | 6 |
Publisher | Association for Computing Machinery (ACM) |
Publication date | 4 Jul 2022 |
Pages | 391–396 |
ISBN (Electronic) | 978-1-4503-9232-7 |
DOIs | |
Publication status | Published - 4 Jul 2022 |
Event | UMAP ’22: 30th ACM Conference on User Modeling, Adaptation and Personalization - Barcelona, Spain Duration: 4 Jul 2022 → 7 Jul 2022 https://www.um.org/umap2022/ |
Conference
Conference | UMAP ’22 |
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Country/Territory | Spain |
City | Barcelona |
Period | 04/07/2022 → 07/07/2022 |
Internet address |
Keywords
- Commonsense Reasoning
- Description Logics
- Explainable AI
- Moral Foundations Theory
- Value recommendations
Fingerprint
Dive into the research topics of 'Exploring Values in Museum Artifacts in the SPICE project: A Preliminary Study'. Together they form a unique fingerprint.Projects
- 1 Finished
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SPICE: Social cohesion, Participation, and Inclusion through Cultural Engagement
Bruni, L. E. (PI), Simeone, L. (Project Participant), Pedersen, T. A. (Project Participant) & Kadastik, N. (Project Participant)
01/05/2020 → 30/04/2023
Project: Research