A Spotify-based system for promoting the wellbeing
- Autores
- Álvarez, P.; García de Quirós, J.; Baldassarri, S.
- Año de publicación
- 2022
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Different mobile applications and smart systems are being developed to increase users’ wellness and happiness. Unfortunately, some of the most recent technological advances in the field of affective computing, Internet of things or service computing have not yet been included in these solutions. In this paper, we briefly present a smart system that analyses the user’s emotions during her/his diary activities and configures mood regulation experiences when she/he comes back at home. These emotion-aware experiences are based on the Spotify music services and are personalised for each particular user considering her/his musical tastes and preferences. Besides, the system integrates an emotion recognition system based on wearables and artificial intelligence techniques. The recognised emotions are then used to determine the user’s mood and to make decisions on the music interventions to be carried out.
Instituto de Investigación en Informática - Materia
-
Ciencias Informáticas
Smart systems
Mood regulation
Mobile applications
Music
Wellbeing - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/140659
Ver los metadatos del registro completo
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A Spotify-based system for promoting the wellbeingÁlvarez, P.García de Quirós, J.Baldassarri, S.Ciencias InformáticasSmart systemsMood regulationMobile applicationsMusicWellbeingDifferent mobile applications and smart systems are being developed to increase users’ wellness and happiness. Unfortunately, some of the most recent technological advances in the field of affective computing, Internet of things or service computing have not yet been included in these solutions. In this paper, we briefly present a smart system that analyses the user’s emotions during her/his diary activities and configures mood regulation experiences when she/he comes back at home. These emotion-aware experiences are based on the Spotify music services and are personalised for each particular user considering her/his musical tastes and preferences. Besides, the system integrates an emotion recognition system based on wearables and artificial intelligence techniques. The recognised emotions are then used to determine the user’s mood and to make decisions on the music interventions to be carried out.Instituto de Investigación en Informática2022-07info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf71-75http://sedici.unlp.edu.ar/handle/10915/140659enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-2126-0info:eu-repo/semantics/reference/hdl/10915/139373info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:35:43Zoai:sedici.unlp.edu.ar:10915/140659Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:35:44.047SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
A Spotify-based system for promoting the wellbeing |
| title |
A Spotify-based system for promoting the wellbeing |
| spellingShingle |
A Spotify-based system for promoting the wellbeing Álvarez, P. Ciencias Informáticas Smart systems Mood regulation Mobile applications Music Wellbeing |
| title_short |
A Spotify-based system for promoting the wellbeing |
| title_full |
A Spotify-based system for promoting the wellbeing |
| title_fullStr |
A Spotify-based system for promoting the wellbeing |
| title_full_unstemmed |
A Spotify-based system for promoting the wellbeing |
| title_sort |
A Spotify-based system for promoting the wellbeing |
| dc.creator.none.fl_str_mv |
Álvarez, P. García de Quirós, J. Baldassarri, S. |
| author |
Álvarez, P. |
| author_facet |
Álvarez, P. García de Quirós, J. Baldassarri, S. |
| author_role |
author |
| author2 |
García de Quirós, J. Baldassarri, S. |
| author2_role |
author author |
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Ciencias Informáticas Smart systems Mood regulation Mobile applications Music Wellbeing |
| topic |
Ciencias Informáticas Smart systems Mood regulation Mobile applications Music Wellbeing |
| dc.description.none.fl_txt_mv |
Different mobile applications and smart systems are being developed to increase users’ wellness and happiness. Unfortunately, some of the most recent technological advances in the field of affective computing, Internet of things or service computing have not yet been included in these solutions. In this paper, we briefly present a smart system that analyses the user’s emotions during her/his diary activities and configures mood regulation experiences when she/he comes back at home. These emotion-aware experiences are based on the Spotify music services and are personalised for each particular user considering her/his musical tastes and preferences. Besides, the system integrates an emotion recognition system based on wearables and artificial intelligence techniques. The recognised emotions are then used to determine the user’s mood and to make decisions on the music interventions to be carried out. Instituto de Investigación en Informática |
| description |
Different mobile applications and smart systems are being developed to increase users’ wellness and happiness. Unfortunately, some of the most recent technological advances in the field of affective computing, Internet of things or service computing have not yet been included in these solutions. In this paper, we briefly present a smart system that analyses the user’s emotions during her/his diary activities and configures mood regulation experiences when she/he comes back at home. These emotion-aware experiences are based on the Spotify music services and are personalised for each particular user considering her/his musical tastes and preferences. Besides, the system integrates an emotion recognition system based on wearables and artificial intelligence techniques. The recognised emotions are then used to determine the user’s mood and to make decisions on the music interventions to be carried out. |
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2022 |
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2022-07 |
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