Detection of occupant emotion in automated vehicles under different driving conditions

Emotion Recognition is an emerging area in the field of automotive research focused on improving the driving experience and driver behavior. In the framework of automated vehicles, it is vitally important to detect and understand the emotional state of occupants in order to provide them with tailore...

Full description

Saved in:
Bibliographic Details
Published in:Transportation research procedia (Online) 2023, Vol.72, p.3917-3924
Main Authors: Palomares, Nicolás, Mateo, Begoña, Belda-Lois, Juan-Manuel, Iranzo, Sofía, Silva, Javier, de Nalda-Tárrega, Víctor, Laparra-Hernández, José, Solaz, José S.
Format: Article
Language:English
Subjects:
automated vehicles
Emotion recognition
empathic vehicles
physiological signals
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Emotion Recognition is an emerging area in the field of automotive research focused on improving the driving experience and driver behavior. In the framework of automated vehicles, it is vitally important to detect and understand the emotional state of occupants in order to provide them with tailored support and to develop corrective actions to increase their acceptance of such vehicles. The H2020 SUaaVE project aims to develop an emotional model able to estimate passenger state through the analysis of their physiological signals. 50 drivers have experienced different automated driving scenarios with our HAV driving simulator, gathering their biometric measurements and behavior. The application of the emotional model shows significant differences in the emotion experienced by the participants in terms of valence and arousal across the different simulated scenarios.
ISSN:2352-1465
2352-1465
DOI:10.1016/j.trpro.2023.11.489