Mood-based On-Car Music Recommendations
This addresses the need for intelligent music recommendations to improve driving experiences for millions of drivers, though it appears incremental as it builds on existing mood-based recommendation concepts.
The paper tackles the problem of enhancing driving comfort and safety by proposing a contextual mood-based music recommender system for cars, which aims to regulate the driver's mood and positively influence driving behavior, with a proof of concept presented as the result.
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.