How drowsiness and distraction can interfere with take-over performance: A systematic and meta-analysis review.

Drowsiness and distraction are major factors of road crashes and responsible of>35% of road fatalities. Automated driving could solve or minimize their impact, yet it is also in itself a way to promote them. Previous literature reviews and meta-analysis regarding take-overs during automated driving primarily focused on distraction rather than drowsiness.

Young and older adult pedestrians' behavior when crossing a street in front of conventional and self-driving cars.

Self-driving vehicles are gradually becoming a reality. But the consequences of introducing such automated vehicles (AVs) into current road traffic cannot be clearly foreseen yet, especially for pedestrian safety. The present study used virtual reality to examine the pedestrians' crossing behavior in front of AVs as compared to conventional cars (CVs).

Introduction and validation of the Natural Disasters Picture System (NDPS).

Given the growing demand for studies dealing with natural disasters, the research fields of emotion and social cognition require validated picture stimuli of natural hazards. Such material is essential for studying perceptual processes and behaviors of exposed individuals, and it could find practical applications, such as the improvement of communication strategies during crises. We present the Natural Disasters Picture System (NDPS), a database of pictures of natural hazards, with an emphasis on volcanic threats, and their impact on the environment and humans.

Influence of uncertainty on framed decision-making with moral dilemma.

In cases of impending natural disasters, most events are uncertain and emotionally relevant, both critical factors for decision-making. Moreover, for exposed individuals, the sensitivity to the framing of the consequences (gain or loss) and the moral judgments they have to perform (e.g.