As driving functions become increasingly automated, motorists run the risk of becoming
cognitively removed from the driving process. Psychophysiological measures may provide …

The concept of vehicle automation ceases to seem futuristic with the current advancement of
the automotive industry. With the introduction of conditional automated vehicles, drivers are …

In SAE Level 3 automated driving, taking over control from automation raises significant
safety concerns because drivers out of the vehicle control loop have difficulty negotiating …

This article explores the influence of personality on physiological data while driving in
reaction to near crashes and risky situations using Machine Learning (ML). The objective is …

This driving simulator study, conducted as a part of Horizon2020-funded L3Pilot project,
investigated how different car-following situations affected driver workload, within the context …

One debatable issue in traffic safety research is that the cognitive load by secondary tasks
reduces primary task performance, ie, driving. In this paper, the study adopted a version of …

As part of the Dutch national science program “Professional Games for Professional Skills”
we developed a stress-exposure biofeedback training in virtual reality (VR) for the Dutch …

Human cognitive capabilities are under constant pressure in the modern information society.
Cognitive load detection would be beneficial in several applications of human–computer …

In the age of digitilization, multitasking requirements are ubiquitous, especially in the
workplace. Multitasking (MT) describes the activity of performing multiple (at least two) tasks …

This article addresses several key issues that have been raised related to subjective training
load (TL) monitoring. These key issues include how TL is calculated if subjective TL can be …