Driving and music listening are two inseparable everyday activities for millions of people today in the world. Considering the high correlation between music, mood and driving comfort and safety, it makes sense to use appropriate and intelligent music recommendations based on the mood of drivers and songs in the context of car driving. The objective of this paper is to present the project of a contextual mood-based music recommender system capable of regulating the driver's mood and trying to have a positive influence on her driving behaviour. Here we present the proof of concept of the system and describe the techniques and technologies that are part of it. Further possible future improvements on each of the building blocks are also presented.

Mood-based On-Car Music Recommendations / Cano, Erion; Coppola, Riccardo; Morisio, Maurizio; Gargiulo, Eleonora; Marengo, Marco. - ELETTRONICO. - 188:(2017), pp. 154-163. (Intervento presentato al convegno 2nd EAI International Conference on Industrial Networks and Intelligent Systems (INISCOM 2016) tenutosi a Leicester (United Kindom) nel 1 November 2016) [10.1007/978-3-319-52569-3_14].

Mood-based On-Car Music Recommendations

CANO, ERION;COPPOLA, RICCARDO;MORISIO, MAURIZIO;GARGIULO, ELEONORA;
2017

Abstract

Driving and music listening are two inseparable everyday activities for millions of people today in the world. Considering the high correlation between music, mood and driving comfort and safety, it makes sense to use appropriate and intelligent music recommendations based on the mood of drivers and songs in the context of car driving. The objective of this paper is to present the project of a contextual mood-based music recommender system capable of regulating the driver's mood and trying to have a positive influence on her driving behaviour. Here we present the proof of concept of the system and describe the techniques and technologies that are part of it. Further possible future improvements on each of the building blocks are also presented.
2017
978-3-319-52569-3
File in questo prodotto:
File Dimensione Formato  
ErionCanoCarMoodRS.pdf

accesso aperto

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: PUBBLICO - Tutti i diritti riservati
Dimensione 2.42 MB
Formato Adobe PDF
2.42 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2650985
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo