To understand subjective evaluation of an option, various disciplines have quantified the
interaction between reward and effort during decision making, producing an estimate of …

For the past 20 years, researchers have investigated the use of eye tracking in security
applications. We present a holistic view on gaze-based security applications. In particular …

Every person is unique, with individual behavioural characteristics: how one moves,
coordinates, and uses their body. In this paper we investigate body motion as behavioural …

Technologies to measure gaze direction and pupil reactivity have become efficient, cheap,
and compact and are finding increasing use in many fields, including gaming, marketing …

Event detection is a challenging stage in eye movement data analysis. A major drawback of
current event detection methods is that parameters have to be adjusted based on eye …

Virtual reality (VR) is a multibillionaire market that keeps growing, year after year. As VR is
becoming prevalent in households and small businesses, it is critical to address the effects …

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 …

Identifying users of a Virtual Reality (VR) headset provides designers of VR content with the
opportunity to adapt the user interface, set user-specific preferences, or adjust the level of …

We study involuntary micro-movements of both eyes, in addition to saccadic macro-
movements, as biometric characteristic. We develop a deep convolutional neural network …

Humans and other animals are motivated to act so as to maximize their subjective reward
rate. Here, we propose that reward rate maximization is accomplished by adjusting a context …