In this paper, we present a review of how the various aspects of any study using an eye
tracker (such as the instrument, methodology, environment, participant, etc.) affect the quality …

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 …

Usability and user experience (UX) are emerging concerns around not only application
development but everything designed to be used by people. Evaluation of the UX is, by …

Eye movements have been extensively studied in a wide range of research fields. While
new methods such as mobile eye tracking and eye tracking in virtual/augmented realities …

Eye-tracking technology is being increasingly integrated into mixed reality devices. Although
critical applications are being enabled, there are significant possibilities for violating user …

The study of gaze behavior has primarily been constrained to controlled environments in
which the head is fixed. Consequently, little effort has been invested in the development of …

Intention prediction has become a relevant field of research in Human–Machine and Human–
Robot Interaction. Indeed, any artificial system (co)-operating with and along humans …

Background Machine learning has been widely used to identify Autism Spectrum Disorder
(ASD) based on eye-tracking, but its accuracy is uncertain. We aimed to summarize the …

Eye tracking is a technology aimed at understanding the direction of the human gaze. Event
detection is a process of detecting and classifying eye movements that are divided into …

Existing event detection algorithms for eye-movement data almost exclusively rely on
thresholding one or more hand-crafted signal features, each computed from the stream of …