Mood-based On-Car Music Recommendations

TL;DR

This paper presents a proof of concept for a mood-based music recommendation system designed to influence drivers' moods positively and improve driving safety by using contextual mood analysis.

Contribution

It introduces a novel system that integrates mood detection and music recommendation specifically tailored for driving contexts, with potential to enhance safety and driver well-being.

Findings

Proof of concept system demonstrated feasibility

Techniques for mood detection and music recommendation outlined

Future improvements for system components discussed

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.