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 cognitive basis of this performance, and “the human advantage.” Driving is domain where these techniques may deployed, in tasks ranging from rigorously controlled laboratory settings through high-fidelity simulations to naturalistic experiments in the wild. This research has revealed robust patterns that can be reliably identified and replicated in the field and reproduced in the lab. The purpose of this review is to cover the basics of what is known about these gaze behaviors, and some of their implications for understanding visually guided steering. The phenomena r...
The misallocation of driver visual attention has been suggested as a major contributing factor to ve...
Background While the coordination of oculomotor and manual behavior is essential for driving a car,...
Short abstract The paper proposes a method to process eye-tracking data to get a comprehensive unde...
Human performance in natural environments is deeply impressive, and still much beyond current AI. Ex...
In this paper we present and qualitatively analyze an expert driver’s gaze behavior in natural drivi...
The authors examined observers steering through a series of obstacles to determine the role of activ...
The authors present an approach to the coordination of eye movements and locomotion in naturalistic ...
Modelling human cognition and behaviour in rich naturalistic settings and under conditions of free m...
This work was supported by the Engineering and the Physical Sciences Research Council (EPSRC) under ...
Active visual scanning of the scene is a key task-element in all forms of human locomotion. In the f...
When steering a trajectory, we direct our gaze to locations (1–3 s ahead) that we want to steer thro...
It is well-established how visual stimuli and self-motion in laboratory conditions reliably elicit r...
The authors present an approach to the coordination of eye movements and locomotion in naturalistic ...
Driving is a complex visuomotor task, and the study of eye movements can provide interesting and de...
This thesis is an inquiry into how humans use their imperfect perception, limited attention and acti...
The misallocation of driver visual attention has been suggested as a major contributing factor to ve...
Background While the coordination of oculomotor and manual behavior is essential for driving a car,...
Short abstract The paper proposes a method to process eye-tracking data to get a comprehensive unde...
Human performance in natural environments is deeply impressive, and still much beyond current AI. Ex...
In this paper we present and qualitatively analyze an expert driver’s gaze behavior in natural drivi...
The authors examined observers steering through a series of obstacles to determine the role of activ...
The authors present an approach to the coordination of eye movements and locomotion in naturalistic ...
Modelling human cognition and behaviour in rich naturalistic settings and under conditions of free m...
This work was supported by the Engineering and the Physical Sciences Research Council (EPSRC) under ...
Active visual scanning of the scene is a key task-element in all forms of human locomotion. In the f...
When steering a trajectory, we direct our gaze to locations (1–3 s ahead) that we want to steer thro...
It is well-established how visual stimuli and self-motion in laboratory conditions reliably elicit r...
The authors present an approach to the coordination of eye movements and locomotion in naturalistic ...
Driving is a complex visuomotor task, and the study of eye movements can provide interesting and de...
This thesis is an inquiry into how humans use their imperfect perception, limited attention and acti...
The misallocation of driver visual attention has been suggested as a major contributing factor to ve...
Background While the coordination of oculomotor and manual behavior is essential for driving a car,...
Short abstract The paper proposes a method to process eye-tracking data to get a comprehensive unde...