TY  - JOUR
PY  - 2023//
TI  - Detection of occupant emotion in automated vehicles under different driving conditions
JO  - Transportation research procedia
A1  - Palomares, Nicolás
A1  - Mateo, Begoña
A1  - Belda-Lois, Juan-Manuel
A1  - Iranzo, Sofía
A1  - Silva, Javier
A1  - de Nalda-Tárrega, Víctor
A1  - Laparra-Hernández, José
A1  - Solaz, José S.
SP  - 3917
EP  - 3924
VL  - 72
IS  - 
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 2352-1465
UR  - http://dx.doi.org/10.1016/j.trpro.2023.11.489
ID  - ref1
ER  -