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Mood-based On-Car Music Recommendations
arXiv - CS - Human-Computer Interaction Pub Date : 2020-06-25 , DOI: arxiv-2006.14279
Erion \c{C}ano, Riccardo Coppola, Eleonora Gargiulo, Marco Marengo, Maurizio Morisio

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.

中文翻译:

基于心情的车载音乐推荐

驾驶和听音乐是当今世界上数百万人的两项密不可分的日常活动。考虑到音乐、心情与驾驶舒适性和安全性之间的高度相关性,在汽车驾驶的背景下,根据驾驶员的心情和歌曲来使用适当和智能的音乐推荐是有意义的。本文的目的是提出一个基于情境情绪的音乐推荐系统项目,该系统能够调节驾驶员的情绪并试图对其驾驶行为产生积极影响。在这里,我们展示了系统的概念证明,并描述了作为其中一部分的技术和技术。还介绍了每个构建块的进一步可能的未来改进。
更新日期:2020-06-26
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