Search Results

Driver distraction has been one of the primary causes of traffic accidents. Electroencephalography (EEG), a record of the electric potential from the scalp, is considered as a reliable indicator of brain activities. It has been widely used to detect ...

With the continual growth of new technology in modern day vehicles, more applications are being implemented in these complex devices. These applications push various notifications and messages to the driver from a variety of sources such as audio, ...

Driver monitoring may become a standard safety feature to discourage distraction in vehicles with or without automated driving functions. Research to date has focused on technology for identifying driver distraction—little is known about how drivers ...

Center touchscreens are the main Human-Machine Interface (HMI) between the driver and the vehicle. They are becoming, larger, increasingly complex and replace functions that could previously be controlled using haptic interfaces. To ensure that ...

Driver distraction is a significant source of road accidents and car crashes. A distracted driver poses a threat to not only himself and the ones in the car but also others in the road, namely nearby pedestrians, bicyclists, and other vehicles. ...

When drivers approach a potentially critical situation, they tend to glance over drivers of neighboring vehicles to gather a mutual understanding of the respective states and intentions. Then, experienced drivers can take quick decisions and prevent the ...

Gaze is the most important way for human to obtain information from the outside world, and it is the most direct and significant cue to analysis human behavior and intention. In driving environment, eye tracking is usually applied to model driver's ...

Speech interfaces are increasingly finding their way in many different forms and used in a varied environment. It is also frequently used in the context of driving. The speech interface may advantage driving performance but it can also be distracting. ...

The development of self-driving vehicles seems to go well with the growing demand for the daily use of mobile devices. However, autonomous vehicles will still need manual intervention in unforeseen or dangerous situations. Therefore, it is important for ...

This work-in-progress reports two studies that test if cognitive load reduces human susceptibility to auditory alerts. Previous studies showed that susceptibility (measured using Event-Related Potentials) is reduced when people perform visual or manual ...

Driver distraction is a major issue in manual driving, causing more than 30'000 fatal crashes on US roadways in 2015 only [11]. As such, it is widely studied in order to increase driving safety. Many studies show how to detect driver distraction using ...

This video shows a concept of a future mobile office in a semi-automated vehicle that uses augmented reality. People perform non-driving tasks in current, non-automated vehicles even though that is unsafe. Moreover, even for passengers there is limited ...

The goal of this study is to quantify the cognitive workload of visuospatial components on operating voice-based interfaces. Particularly, we aim to quantify the user's visuospatial workload when they operate voice commands while driving and, then, ...

Vehicular applications must not demand too much of a driver's attention. They often run in the background and initiate interactions with the driver to deliver important information. We argue that the vehicular computing system must schedule interactions ...

Even though they are a known source of distraction, touchscreens have become increasingly commonplace in in-vehicle infotainment systems (IVIS). We explore a novel approach to possibly make the use of in-vehicle touchscreens safer, by displaying the ...

Managing drivers' distraction and directing their attention has been a challenge for automotive UI researchers both in industry and academia. The objective of this half-day tutorial is to provide an overview of methodologies for design, development, and ...

Is there a difference in behavior when drivers start driving after parking compared to taking over from an autonomous driving car? In the former, the driving context switch (from static to driving) might be bigger than the latter, where drivers are ...

Infotainment Systems can increase mental workload and divert visual attention away from looking ahead on the roads. When these systems give information to the driver, providing it through the tactile channel on the steering wheel might improve driving ...

Driver distraction through mobile phone use in the car is a growing road safety concern. This paper presents findings of a survey (N = 528), which seeks to better understand the predictors of mobile phone use while driving in young (18-25) adult ...

We studied the effects of texting while driving and the effects of mobile phone position (hand-held, holder) on drivers' lane-keeping performance, experienced workload, and in-car glance durations in a motion-platform driving simulator with 24 ...