Different drivers’ states and emotions can affect negatively the driving performance. Recent advances in affective computing now give the opportunity to measure the users’ state or emotions using various sources of data such as physiological signals or voice samples. Conveying biofeedback in the car could help to make roads safer and improve users’ health and mental state during a ride in an autonomous car. This workshop aims at selecting the drivers’ hazardous states and emotions that are crucial to be assessed, as well as how to convey the appropriate biofeedback to the driver, using multimodal interaction in the car.
Titre
Workshop for designing biofeedback of driver’s state and emotion in automated vehicles
Date
2021-09
Publié dans
Proceedings of AutomotiveUI '21 Adjunct: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 9-14 September 2021, Leeds, United Kingdom
Volume
2021, pp. 171-174
Editeur
Leeds, UK, 9-14 September 2021
Pagination
4 p.
Présenté à
13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Leeds, UK, 2021-09-09, 2021-09-14
ISBN
9781450386418
Type de papier
short paper
Domaine
Ingénierie et Architecture
Ecole
HEIA-FR
Institut
HumanTech - Technology for Human Wellbeing Institute