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

Manuel Striani*, Gautam Vishwanath, Lily Díaz-Kommonen, Antonio Lieto, Leena Svinhufvud, Rossana Damiano

*Corresponding author for this work

Research output: Contribution to journalConference articleScientificpeer-review

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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)1. 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.

Original languageEnglish
Pages (from-to)92-103
Number of pages12
JournalCEUR WORKSHOP PROCEEDINGS
Volume3536
Publication statusPublished - 6 Nov 2023
MoE publication typeA4 Conference publication
EventItalian Workshop on Artificial Intelligence for Cultural Heritage - Roma, Italy
Duration: 6 Nov 20239 Nov 2023
Conference number: 2
https://ai4ch.di.unito.it/

Keywords

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

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