Extracting Emotions from Users' Annotations in Virtual Museums: a Case Study on the Pop-up Virtual Museum of the Design Museum Helsinki

Manuel STRIANI, Gautam Vishwanath, Lily Diaz-Kommonen, Antonio Lieto, Leena Svinhufvud, Rossana Damiano

Research output: Contribution to conferencePaperpeer-review

Abstract

The paper presents a combined approach to knowledge-based emotion attribution and classification of cultural items employed in the H2020 EU project SPICE (Social cohesion, Participation, and Inclusion through Cultural Engagement) (https://spice-h2020.eu) In particular, we describe an experimentation conducted on a selection of items contributed by the virtual museum (Pop-up VR Museum) of Finnish design objects, created by the Design Museum Helsinki in cooperation with the Aalto University. The results show an overlapping between the emotional labels extracted from the user-generated stories attached to the objects in the collection and the emotional annotations created by the audience during the virtual visit of the collection.

Conference

Conference2nd Workshop on Artificial Intelligence for Cultural Heritage (IAI4CH 2023) co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023)
CityRoma
Period1/01/23 → …

Keywords

  • Affective Computing
  • Description Logics
  • Explainable AI
  • Citizen Curation
  • Commonsense Reasoning
  • VR-Museum

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