Today's vehicles have myriad user interfaces, from those related to the moment-to-moment
control of the vehicle, to those that allow the consumption of information and entertainment …

The authors present an approach to the coordination of eye movements and locomotion in
naturalistic steering tasks. It is based on recent empirical research, in particular, on driver …

Objective: The objective of this paper was to outline an explanatory framework for
understanding effects of cognitive load on driving performance and to review the existing …

Objective: To propose a driver attention theory based on the notion of driving as a satisficing
and partially self-paced task and, within this framework, present a definition for driver …

As vehicles of the future take on more of the driving responsibility and the role of the driver
transitions into more of a monitoring capacity, the traditional notions of interruption and …

Visual distraction by secondary in-car tasks is a major contributing factor in traffic incidents.
In-car user interface design may mitigate these negative effects but to accomplish this …

This paper presents initial work on a context-dependent driver distraction detection
algorithm called AttenD2. 0, which extends the original AttenD algorithm with elements from …

Predictive processing has been proposed as a unifying framework for understanding brain
function, suggesting that cognition and behaviour can be fundamentally understood based …

In this paper we present and qualitatively analyze an expert driver's gaze behavior in natural
driving on a real road, with no specific experimental task or instruction. Previous eye tracking …

Human performance in natural environments is deeply impressive, and still much beyond
current AI. Experimental techniques, such as eye tracking, may be useful to understand the …