Affective automotive user interfaces–reviewing the state of driver affect research and emotion regulation in the car

M Braun, F Weber, F Alt - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Affective technology offers exciting opportunities to improve road safety by catering to
human emotions. Modern car interiors enable the contactless detection of user states …

Considering emotions and contextual factors in music recommendation: a systematic literature review

WG Assuncao, LSG Piccolo, LAM Zaina - Multimedia Tools and …, 2022 - Springer
In recent years, several music recommendation systems have been developed with the aim
of incorporating valuable information into the user's modeling and recommendation process …

Scenario-function system for automotive intelligent cockpits: Framework, research progress and perspectives

H Chen, R Gao, L Fan, E Liu, W Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The innovative development of intelligent cockpit scenarios and functions brings
increasingly enhanced user experiences to drivers and passengers in intelligent vehicles …

Gamified mobile applications for improving driving behavior: A systematic map** study

A El hafidy, T Rachad, A Idri… - Mobile Information …, 2021 - Wiley Online Library
Many research works and official reports approve that irresponsible driving behavior on the
road is the main cause of accidents. Consequently, responsible driving behavior can …

In-vehicle infotainment systems: Using Bayesian networks to model cognitive selection of music genres

GJ Dimitrakopoulos… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the world of transportation, the ceaseless evolution of Information and Communication
Technologies (ICT) is reflected on their migration towards In-Vehicle-Infotainment (IVI) …

Exploring enhanced strategies for emotionally-perceptive music recommendations in mid-day sleep induction scenarios

S Yang, H Zhang, R Zheng, Z Lin, H Shan… - International Journal of …, 2025 - Elsevier
Music has become a widely embraced, budget-friendly option for enhancing sleep, with
emotion-contextual recommendations being the commonly adopted approach. However …

Risk prediction and factor analysis of rider's injury severity in passenger car and E-bike accidents based on interpretable machine learning

T Wei, T Zhu, H Liu - Proceedings of the Institution of …, 2024 - journals.sagepub.com
Casualties and property losses caused by the passenger car and electric bicycle crash
accidents increased year by year. Assessment of the relevant risk factors of injury severity in …

Text-based sentiment analysis and music emotion recognition

E Çano - arxiv preprint arxiv:1810.03031, 2018 - arxiv.org
Sentiment polarity of tweets, blog posts or product reviews has become highly attractive and
is utilized in recommender systems, market predictions, business intelligence and more …

Automatic multimedia classification based on mood recognition of drivers in Internet-of-vehicle using fog computing

KN Lal - Wireless Networks, 2024 - Springer
Abstract Nowadays, Internet-of-Things (IoT) provides various services to users by being
equipped with smart devices. In this regard, the next generation of vehicles collaborates with …

[PDF][PDF] Hybrid Approach of Structural Lyric and Audio Segments for Detecting Song Emotion.

FH Rachman, R Sarno, C Fatichah - International Journal of Intelligent …, 2020 - inass.org
Detecting song emotion is very important, however many studies have been done based on
song lyrics and song audio separately. This research proposes a method for detecting song …