Driver emotion recognition for intelligent vehicles: A survey

S Zepf, J Hernandez, A Schmitt, W Minker… - ACM Computing …, 2020 - dl.acm.org
Driving can occupy a large portion of daily life and often can elicit negative emotional states
like anger or stress, which can significantly impact road safety and long-term human health …

The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review

ZE Abou Elassad, H Mousannif… - … Applications of Artificial …, 2020 - Elsevier
Driving Behavior (DB) is a complex concept describing how the driver operates the vehicle
in the context of the driving scene and surrounding environment. Recently, DB assessment …

Vemotion: Using driving context for indirect emotion prediction in real-time

D Bethge, T Kosch, T Grosse-Puppendahl… - The 34th annual ACM …, 2021 - dl.acm.org
Detecting emotions while driving remains a challenge in Human-Computer Interaction.
Current methods to estimate the driver's experienced emotions use physiological sensing …

The effect of vehicle automation styles on drivers' emotional state

A Alsaid, JD Lee, SI Noejovich… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Self-driving vehicles promise many safety, mobility, and environmental benefits. However,
users' lack of trust and acceptance may threaten the success and potential of this …