Mental workload (MWL) is one of the most widely used concepts in ergonomics and human
factors and represents a topic of increasing importance. Since modern technology in many …

Driver inattention and distraction are the main causes of road accidents, many of which
result in fatalities. To reduce road accidents, the development of information systems to …

This chapter begins with an assessment of the nature and characteristics of mental workload
and how people have defined it over the years. It looks at the major techniques, their relative …

Recent studies have explored a promising method to measure driver workload—the
Peripheral Detection Task (PDT). The PDT has been suggested as a standard method to …

The study was concerned with the effects of mobile phone conversation on simulated driving
in different traffic environments. Forty-eight participants drove a distance of 70km on a route …

To study the speed choice and mental workload of elderly cyclists on electrical assisted
bicycles (e-bikes) in simple and complex traffic situations compared to these on …

The possibilities for measuring workload or driver distraction by means of the Peripheral
Detection Task during driving with in-vehicle equipment were investigated in a driving …

The Detection-Response Task is a method for assessing the attentional effects of cognitive
load in a driving environment. Drivers are presented with a sensory stimulus every 3–5 s …

Human error is involved in more than 90 percent of traffic accidents, and of those accidents,
most are associated with visual distractions, or looking-but-failing-to-see errors. Human …

Achieving situation awareness is critical to safe and efficient driving. One factor that can limit
drivers' situation awareness and thereby affect driving performance is distraction. This study …