The study of real-time classification for driver distraction provides new insights into the understanding behavioral and cognitive reasons behind it. Among various approaches, deep learning models show better performance can be utilized a system. However, suffer from generalization performance. Ensemble learning, on other hand, combine numerous to improve generalization. Hence, ensemble model w...

In our study, we generate rules to determine whether or not a driver is cognitively distracted, using collected data about the driver’s eye movements and driving data by Inductive Logic Programming (ILP). We assigned a mental arithmetic task to the research participants to cause cognitive distraction and then learned the rules of the cognitive distraction using the cognitively distracted state ...

In order to design safe vehicles it is important to be able to evaluate in-vehicle systems to determine how distracting they are for people to use while driving. The Peripheral Detection Task (PDT) is a method for measuring the amount of driver mental workload and visual distraction in road vehicles. It is a secondary task measure where drivers must respond to random targets presented in their ...

Traumatic brain injuries (TBIs) are injuries to the brain associated with the transfer of energy from some external source. There are an estimated 1.4 million TBIs each year, and about half are due to transportation crashes (NINDS, 2007). Driver distraction is defined as a process or condition that draws a driver's attention away from driving activities toward a competing activity (Sheridan, 20...

There is an accumulating evidence that driver’s distraction is a leading cause of vehicle crashes and incidents. In particular, it has become an important and growing safety concern with the increasing use of the so-called In-Vehicle Information Systems (IVIS) and Partially Autonomous Driving Assistance Systems (PADAS). Thereby, the detection of the driver status is of paramount importance, in ...

OBJECTIVE This study tested the effects of two fundamental forms of distraction, including visual-manual and cognitive-audio distraction, with comparison under both operational and tactical driving. Strategic control remains for future study. BACKGROUND Driving is a complex control task involving operational, tactical, and strategic control. Although operational control, such as lead-car foll...

Distracted driving, though not a new phenomenon, has attracted significant attention in recent years due to the proliferation of cell phones and other portable technologies that are often used behind the wheel. Experts generally agree that driver distraction stems from three sources: visual (eyes off the road), manual (hands off the wheel), and cognitive (mind off the task). Of these, cognitive...

Driver distraction is one of the most common causes of accidents. By having a dialogue manager request predicted user answers from a user model instead of asking the user, we can reduce the number of utterances in the dialogue and thereby reduce the time that the user is distracted.