Eye tracking is the process of measuring where one is looking (point of gaze) or the motion
of an eye relative to the head. Researchers have developed different algorithms and …

Context Eye tracking is a technology to measure and determine the eye movements and eye
positions of an individual. The eye data can be collected and recorded using an eye tracker …

Existing research has shown the potential of classifying Alzheimer's Disease (AD) from eye-
tracking (ET) data with classifiers that rely on task-specific engineered features. In this paper …

Illuminating the nature of leadership and followership requires insights into not only how
leaders and followers behave, but also the different cognitions that underpin these social …

The current paper is a review of eye-tracking and sensing technologies that detect and
monitor Autism Spectrum Disorder (ASD). Nowadays, the biggest challenge is the detection …

We propose the use of a deep learning architecture, called RETINA, to predict multi-
alternative, multi-attribute consumer choice from eye movement data. RETINA directly uses …

Behavioral analysis of adults engaged in learning tasks is a major challenge in the field of
adult education. Nowadays, in a world of continuous technological changes and scientific …

In recent decades, the use of technological resources such as the eye tracking methodology
is providing cognitive researchers with important tools to better understand the learning …

New and emerging non-invasive digital tools, such as eye-tracking, facial expression and
physiological biometrics, have been implemented to extract more objective sensory …

Prediction of visual attention is a new and challenging subject, and to the best of our
knowledge, there are not many pieces of research devoted to the anticipation of students' …