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Authors: Juan-Manuel Belda-Lois 1 ; Sofía Iranzo 2 ; Javier Silva 2 ; Begoña Mateo 2 ; Nicolás Palomares 2 ; José Laparra-Hernández 2 and José Solaz 2

Affiliations: 1 Grupo de Tecnología Sanitaria del IBV, CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valencia, Spain ; 2 Instituto de Biomecánica de Valencia, Universitat Politècnica de València, València, Spain

Keyword(s): Connected and Automated Vehicles, Emotion, Dimensional Model, Physiological Signals, Human Centered Artificial Intelligence.

Abstract: One critical factor of success and user acceptance in connected automated vehicles (CAVs) is trust in technology, being the main obstacle that remains from a customer’s perspective. Trust in automated systems is based on feelings of safety and acceptance, being the emotional process the most influential aspect. One of the main ambitions of SUaaVE project (SUpporting acceptance of automated VEhicle) is to develop an emotional model to understand the passenger’s state during the trip (in Real-Time), based on body biometrics, allowing to adapt the vehicle features to enhance the in-vehicle user experience, while increasing trust, and therefore acceptance. This research addressed a initial experiments to identify changes in the emotional state of the occupants in different driving experiences (in a driving simulator and in real conditions) by measuring and analysing the physiological signals of the participants, serving as a basis for the generation of the emotional model. The results sh owed that it is possible to estimate the level of Arousal and Valence of the participants during the journey from the analysis of ECG, EMG and GSR signals. These results have positive implications for the automobile industry facilitating a better integration of human factor in the deployment of CAV. (More)

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Paper citation in several formats:
Belda-Lois, J.; Iranzo, S.; Silva, J.; Mateo, B.; Palomares, N.; Laparra-Hernández, J. and Solaz, J. (2020). The Estimation of Occupants’ Emotions in Connected and Automated Vehicles. In Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications - SUaaVE, ISBN 978-989-758-480-0; ISSN 2184-3244, pages 262-267. DOI: 10.5220/0010214802620267

@conference{suaave20,
author={Juan{-}Manuel Belda{-}Lois. and Sofía Iranzo. and Javier Silva. and Begoña Mateo. and Nicolás Palomares. and José Laparra{-}Hernández. and José Solaz.},
title={The Estimation of Occupants’ Emotions in Connected and Automated Vehicles},
booktitle={Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications - SUaaVE,},
year={2020},
pages={262-267},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010214802620267},
isbn={978-989-758-480-0},
issn={2184-3244},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications - SUaaVE,
TI - The Estimation of Occupants’ Emotions in Connected and Automated Vehicles
SN - 978-989-758-480-0
IS - 2184-3244
AU - Belda-Lois, J.
AU - Iranzo, S.
AU - Silva, J.
AU - Mateo, B.
AU - Palomares, N.
AU - Laparra-Hernández, J.
AU - Solaz, J.
PY - 2020
SP - 262
EP - 267
DO - 10.5220/0010214802620267

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