Extracting Emotions from Users’ Annotations in Virtual Museums: a Case Study on the Pop-up VR Museum of the Design Museum Helsinki
Contributo in Atti di convegno
Data di Pubblicazione:
2023
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.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
Affective Computing; Citizen Curation; Commonsense Reasoning; Description Logics; Explainable AI; VR-Museum
Elenco autori:
Striani M.; Vishwanath G.; Diaz-Kommonen L.; Lieto A.; Svinhufvud L.; Damiano R.
Link alla scheda completa:
Titolo del libro:
CEUR Workshop Proceedings
Pubblicato in: