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

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

Dipartimento di Scienze e Innovazione Tecnologica

Risultato della ricerca: Contributo alla conferenza › Contributo in Atti di Convegno › peer 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.

Lingua originale	Inglese
Pagine	92-103
Numero di pagine	12
Stato di pubblicazione	Pubblicato - 2023
Evento	2nd 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) - Roma Durata: 1 gen 2023 → …

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???event.eventtypes.event.conference???	2nd 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)
Città	Roma
Periodo	1/01/23 → …

Keywords

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

Accesso al documento

https://hdl.handle.net/11579/167464

Altri file e collegamenti

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Cita questo

STRIANI, M., Vishwanath, G., Diaz-Kommonen, L., Lieto, A., Svinhufvud, L., & Damiano, R. (2023). Extracting Emotions from Users' Annotations in Virtual Museums: a Case Study on the Pop-up Virtual Museum of the Design Museum Helsinki. 92-103. Articolo presentato al 2nd 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), Roma. https://hdl.handle.net/11579/167464

STRIANI, Manuel ; Vishwanath, Gautam ; Diaz-Kommonen, Lily et al. / Extracting Emotions from Users' Annotations in Virtual Museums: a Case Study on the Pop-up Virtual Museum of the Design Museum Helsinki. Articolo presentato al 2nd 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), Roma.12 pag.

@conference{440ff6a069b54d309ba2b05f03706402,

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

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.",

keywords = "Affective Computing, Description Logics, Explainable AI, Citizen Curation, Commonsense Reasoning, VR-Museum, Affective Computing, Description Logics, Explainable AI, Citizen Curation, Commonsense Reasoning, VR-Museum",

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year = "2023",

language = "English",

pages = "92--103",

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STRIANI, M, Vishwanath, G, Diaz-Kommonen, L, Lieto, A, Svinhufvud, L & Damiano, R 2023, 'Extracting Emotions from Users' Annotations in Virtual Museums: a Case Study on the Pop-up Virtual Museum of the Design Museum Helsinki', Articolo presentato al 2nd 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), Roma, 1/01/23 pagg. 92-103. <https://hdl.handle.net/11579/167464>

Extracting Emotions from Users' Annotations in Virtual Museums: a Case Study on the Pop-up Virtual Museum of the Design Museum Helsinki. / STRIANI, Manuel; Vishwanath, Gautam; Diaz-Kommonen, Lily et al.
2023. 92-103 Articolo presentato al 2nd 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), Roma.

Risultato della ricerca: Contributo alla conferenza › Contributo in Atti di Convegno › peer review

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T1 - Extracting Emotions from Users' Annotations in Virtual Museums: a Case Study on the Pop-up Virtual Museum of the Design Museum Helsinki

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AU - Vishwanath, Gautam

AU - Diaz-Kommonen, Lily

AU - Lieto, Antonio

AU - Svinhufvud, Leena

AU - Damiano, Rossana

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N2 - 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.

AB - 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.

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STRIANI M, Vishwanath G, Diaz-Kommonen L, Lieto A, Svinhufvud L, Damiano R. Extracting Emotions from Users' Annotations in Virtual Museums: a Case Study on the Pop-up Virtual Museum of the Design Museum Helsinki. 2023. Articolo presentato al 2nd 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), Roma.