Abstract In-vehicle HMI (Human Machine Interface) systems are well studied due to their
great application prospect, but the recent development of connected technologies raises …

Two studies are reported which first observe, and then attempt to replicate, the cognitive
demands of intensive care unit (ICU) activity whilst concurrently learning audible alarms …

Humans can anticipate and prepare for uncertainties to achieve a goal. However, it is
difficult to maintain this effort over a prolonged period of time. Inappropriate behavior is …

Driver drowsiness is a widely recognized cause of motor vehicle accidents. Therefore, a
reduction in drowsy driving crashes is required. Many studies evaluating the crash risk of …

Driving under conditions of cognitive overload or drowsiness poses serious safety risks and
is recognized as a major cause of vehicle collisions. Thus, timely detection of the driver's …

To inform development of decisional support systems for the sleep deprived, this study
examined the effect of sleep debt, time pressure and risk on the ability to use a decision aid …

Alerting drivers for self-regulation of attention might decrease crash risks attributable to
absent-minded driving. However, no reliable method exists for monitoring driver attention …

It is well known that a decline of arousal level causes of poor performance of movements or
judgments. Our previous study indicates that microsaccade (MS) rates and pupil fluctuations …

In this study, we proposed an objective estimation of decline of arousal level by analyzing
microsaccade rate and pupil fluctuation while subjects were continuously gazing a fixation …

Since drowsy driving is a major cause of serious traffic accidents, there is a growing
requirement for drowsiness prevention technologies. This study proposes a drowsy driving …