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 …

Artificial intelligence advances have led to robots endowed with increasingly sophisticated
social abilities. These machines speak to our innate desire to perceive social cues in the …

This chapter provides an accessible introduction for point processes, and especially Hawkes
processes, for modeling discrete, inter-dependent events over continuous time. We start by …

In this paper, we present a proof-of-concept approach to estimating mental workload by
measuring the user's pupil diameter under various controlled lighting conditions. Knowing …

Understanding the driver's cognitive load is important for evaluating in-vehicle user
interfaces. This paper describes experiments to assess machine learning classification …

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 …

Today's digital contents are inherently multimedia: text, audio, image, video, and so on.
Video, in particular, has become a new way of communication between Internet users with …

We present Brain Automated Chorales (BACh), an adaptive brain-computer system that
dynamically increases the levels of difficulty in a musical learning task based on pianists' …

Working memory is a key executive function for flying an aircraft. This function is particularly
critical when pilots have to recall series of air traffic control instructions. However, working …

Workload estimation from electroencephalographic signals (EEG) offers a highly sensitive
tool to adapt the human–computer interaction to the user state. To create systems that …