Contextual investigations of automated vehicle technology have so far been rare, however
they are crucial to uncover the challenges that exist around its acceptance and safe use …

Objective The paper aimed to investigate glance behaviors under different levels of
distraction in automated driving (AD) and understand the impact of distraction levels on …

Malfunctions are a major challenge in partially automated driving. During such malfunctions,
the driver must be able to adequately take over vehicle guidance without being requested to …

Objective The paper aims to integrate interior and exterior sensing signals to explore gaze-
context connections for more context-aware driver attention management. Background …

Driver monitoring, whether accompanying vehicle automation or not, appears poised for
wide deployment in the near future. Driver monitoring is itself a form of automation (often …

Objective This study aimed to investigate the impacts of feature selection on driver cognitive
distraction (CD) detection and validation in real-world nonautomated and Level 2 automated …

With Level 3 and 4 automated driving activated, users will be allowed to engage in a wide
range of non-driving related activities (NDRAs). Although Level 2 automation can appear …

This paper investigated individual differences in attentional strategies during the non-driving-
related tasks in Level 2 automated driving. Ward's method was used to cluster participants …

The evolution of autonomous vehicles (AVs) requires a paradigm shift towards the
integration of human factors to improve safety and efficiency at levels 2, 3 and 4 of …

Executive summary The regulation of Advanced Driver Distraction Warning (ADDW) systems
has been mandated by the European Parliament and Council in Regulation (EU) 2019/2144 …