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Workshop for designing biofeedback of driver’s state and emotion in automated vehicles
Type
conference paper
Date Issued
2021
Author(s)
Capallera, Marine
Meteier, Quentin
Funk, Markus
Kamali, Mira El
Daher, Karl
Khaled, Omar Abou
Mugellini, Elena
Abstract
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.
Language
English
Keywords
Human-Vehicle Interaction
Bio-feedback
Emotional and Affective State
Automated Vehicle
Intelligent System
Multimodality
Empathy
HSG Classification
contribution to scientific community
HSG Profile Area
None
Publisher
Association for Computing Machinery
Start page
171
End page
174
Event Title
13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Official URL
Subject(s)
Division(s)
Contact Email Address
kevin.koch@unisg.ch
Eprints ID
264676