Detecting eye movements in raw eye tracking data is a well-established research area by
itself, as well as a common pre-processing step before any subsequent analysis. As in any …

The scanpath is an important concept in eye tracking. It refers to a person's eye movements
over a period of time, commonly represented as a series of alternating fixations and …

Conventional feature-based and model-based gaze estimation methods have proven to
perform well in settings with controlled illumination and specialized cameras. In …

With eye tracking being increasingly integrated into virtual and augmented reality (VR/AR)
head-mounted displays, preserving users' privacy is an ever more important, yet under …

Abstract Head-mounted Augmented Reality (AR) displays overlay digital information on
physical objects. Through eye tracking, they provide insights into user attention, intentions …

Intention recognition is the process of using behavioural cues, such as deliberative actions,
eye gaze, and gestures, to infer an agent's goals or future behaviour. In artificial intelligence …

A Handbook of Process Tracing Methods demonstrates how to better understand decision
outcomes by studying decision processes, through the introduction of a number of exciting …

Head movement is widely used as a uniform type of input for human-computer interaction.
However, there are fundamental differences between head movements coupled with gaze in …

The study of attention in pictures is mostly limited to individual images. When we 'read'a
visual narrative (eg, a comic strip), the pictures have a coherent sequence, but it is not …

Human visual behaviour has significant potential for activity recognition and computational
behaviour analysis, but previous works focused on supervised methods and recognition of …