Exploring Values in Museum Artifacts in the SPICE project: a Preliminary Study

Rossana Damiano, Tsvi Kuflik, Alan J. Wecker, Manuel Striani, Antonio Lieto, Luis Bruni, Nele Kadastik, Thomas A. Pedersen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationUMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery, Inc
Pages391-396
Number of pages6
ISBN (Electronic)9781450392327
DOIs
StatePublished - 4 Jul 2022
Event30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022 - Virtual, Online, Spain
Duration: 4 Jul 20227 Jul 2022

Publication series

NameUMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022
Country/TerritorySpain
CityVirtual, Online
Period4/07/227/07/22

Bibliographical note

Publisher Copyright:
© 2022 ACM.

Keywords

  • Commonsense Reasoning
  • Description Logics
  • Explainable AI
  • Moral Foundations Theory
  • Value recommendations

ASJC Scopus subject areas

  • Software

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