The ever-increasing number of computing devices around us results in more and more
systems competing for our attention, making cognitive workload a crucial factor for the user …

As driving functions become increasingly automated, motorists run the risk of becoming
cognitively removed from the driving process. Psychophysiological measures may provide …

We present an optimization-based approach for Mixed Reality (MR) systems to automatically
control when and where applications are shown, and how much information they display …

A novel eye-tracked measure of the frequency of pupil diameter oscillation is proposed for
capturing what is thought to be an indicator of cognitive load. The proposed metric, termed …

As mobile shopping has gradually become the mainstream shopping mode,
recommendation systems are gaining an increasingly wide adoption. Existing …

In this position paper we encourage the use of eye tracking measurements to investigate
users' cognitive load while interacting with a system. We start with an overview of how eye …

Cognitive load has been shown, over hundreds of validated studies, to be an important
variable for understanding human performance. However, establishing practical, non …

Current digital systems are largely blind to users' cognitive states. Systems that adapt to
users' states show great potential for augmenting cognition and for creating novel user …

Driver distraction, defined as the diversion of attention away from activities critical for safe
driving toward a competing activity, is increasingly recognized as a significant source of …

Understanding human visual attention in immersive virtual reality (VR) is crucial for many
important applications, including gaze prediction, gaze guidance, and gaze-contingent …