In-Vehicle Affect Recognition and Regulation
Healthcare is a growing concern among societies. With the increasing pressure from daily lives and the ageing of population, more and more people suffer from sub-health conditions and chronic diseases (such as mental disorders or neurodegenerative diseases), which are often unnoticed until the diseases become severe. The emotional state plays a crucial role in mental disorders. Early detection and providing necessary intervention in order to help people maintain a healthy status is the goal of the In-Vehicle Affect Recognition And Regulation (ARNE) project. The improvement of vehicular technologies has equipped cars with the intelligence that makes many potential applications possible. The car as a modern commodity for many people provides a controlled environment in which they spend a substantial amount of time. We explore whether AI in vehicles can be leveraged for analyzing people’s health status by monitoring and evaluating their driving behaviors.
Kevin Koch, Liu Shu, Thomas Berger, and Felix Wortmann. “Towards the Healing Car: Investigating the Potential of Psychotherapeutic In-vehicle Interventions” (2020). Research-in-Progress Papers. 8. [PDF]
Kevin Koch, Varun Mishra, Liu Shu, Thomas Berger, Elgar Fleisch, David Kotz, and Felix Wortmann, When Do Drivers Interact with In-Vehicle Well-being Interventions? An Exploratory Analysis of a Longitudinal Study on Public Roads. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 1, Article 19, 30 pages. [PDF]
Kevin Koch, Verena Tiefenbeck, Shu Liu, Thomas Berger, Elgar Fleisch, and Felix Wortmann. 2021. Taking Mental Health & Well-Being to the Streets: An Exploratory Evaluation of In-Vehicle Interventions in the Wild. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21). Article 539, 1–15. [PDF]
Liu, S., Koch, K., Zhou, Z., Föll, S., He, X., Menke, T., Fleisch, E., Wortmann, F., The Empathetic Car: Exploring Emotion Inference via Driver Behaviour and Traffic Context, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., Vol. 5, No. 3, Article 117. [PDF]