Minimising driver distraction is a crucial factor in the design of new driver assistance systems and in-vehicle information systems. Therefore two different driver-vehicle interface concepts for an Active Cruise Control (ACC) system were designed and tested with 12 drivers in a static driving simulator. These concepts differed in the location (steering wheel vs. dashboard) and type of controls....

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 ...

Because of the mobile Internet revolution the manual use of smartphones while driving increases, which causes distraction from driving. Therefore, an intuitive in-car speech interface to the Internet is crucial. In this paper we present an in-car speech dialog system prototype which allows the user to access several Internet services by speech. In order to reduce driver distraction the system i...

Abstract This paper introduce pose-aware multi-position feature network for driver distraction recognition, taking into account the high association between visual and geometric features of neighboring human key points. method first uses object detector to detect driver’s body, then pose estimation points body. Finally, body are deconstructed obtain spatial features.In order create representati...

This paper presents initial work on a context-dependent driver distraction detection algorithm called AttenD2.0, which extends the original AttenD with elements from Minimum Required Attention (MiRA) theory. Central to is time buffer keeps track of how often and for long looks away forward roadway. When depleted when looking back fills up. If runs empty classified as distracted. AttenD2.0 this ...

Driver distraction is estimated to be one of the leading causes of motor vehicle accidents. However, little is known about the role of emotional distraction on driving, despite evidence that attention is highly biased toward emotion. In the present study, we used a dual-task paradigm to examine the potential for driver distraction from emotional information presented on roadside billboards. Thi...