Affective Computing in the Automotive Domain
July 2019 - November 2021
This two-year project will explore the future of cars and interactive systems, with a focus on creating intelligent and emotion-aware systems that can contribute to better automotive user interfaces. This joint-industrial project aim to produce research that is working on real-world problems in the automotive domain. This project has a strong HCI component where we are working with users in a driving simulator and/or test track setting, physical prototyping with physiological sensors, designing and running controlled simulator) studies. Apart from that, the project also involves areas such as signal processing and machine learning, drawing upon recent advances in machine learning for affective and attentional state classification and/or regression using image and physiological data.