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 …

Pupil diameter and microsaccades are captured by an eye tracker and compared for their
suitability as indicators of cognitive load (as beset by task difficulty). Specifically, two metrics …

The use of neurophysiological measurements to advance the design, development, use,
acceptance, influence and adaptivity of information systems is receiving increasing attention …

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 …

Brain–Computer Interfaces Handbook: Technological and Theoretical Advances provides a
tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces …

The motivation behind using physiological measures to estimate cognitive activity is typically
to build technology that can help people to understand themselves and their work, or indeed …

Estimating cognitive or affective states from brain signals is a key but challenging step in
creating passive brain-computer interface (BCI) applications. So far, estimating mental …

A novel eye-tracked measure of pupil diameter oscillation is derived as an indicator of
cognitive load. The new metric, termed the Low/High Index of Pupillary Activity (LHIPA), is …

Obtaining information about audience engagement in presentations is a valuable asset for
presenters in many domains. Prior literature mostly utilized explicit methods of collecting …