Research Article
Mood-Based On-Car Music Recommendations
@INPROCEEDINGS{10.1007/978-3-319-52569-3_14, author={Erion \`{E}ano and Riccardo Coppola and Eleonora Gargiulo and Marco Marengo and Maurizio Morisio}, title={Mood-Based On-Car Music Recommendations}, proceedings={Industrial Networks and Intelligent Systems. Second International Conference, INISCOM 2016, Leicester, UK, October 31 -- November 1, 2016, Revised Selected Papers}, proceedings_a={INISCOM}, year={2017}, month={6}, keywords={Contextual music recommendations Car based computing Music mood recommendations Connected car Car mobile apps}, doi={10.1007/978-3-319-52569-3_14} }- Erion Çano
Riccardo Coppola
Eleonora Gargiulo
Marco Marengo
Maurizio Morisio
Year: 2017
Mood-Based On-Car Music Recommendations
INISCOM
Springer
DOI: 10.1007/978-3-319-52569-3_14
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.
