Electroencephalography (EEG) is the signal of intrigue that has immense application in the
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …

Despite the importance of attention in user performance, current methods for attention
classification do not allow to discriminate between different attention types. We propose a …

In this paper, we review the state of biofeedback methodology 50 years after its inception,
with the objective to facilitate well-informed, scientific discourses around the topic. The …

The attentional problems of school children are a crucial topic due to abundant information
in this digital era. There are five attention dimensions for children: focused attention …

We present Captivates, an open-source smartglasses system designed for long-term, in-the-
wild psychophysiological monitoring at scale. Captivates integrate many underutilized …

We introduce MunchSonic, an AI-powered active acoustic sensing system integrated into
eyeglasses to track fine-grained dietary actions. MunchSonic emits inaudible ultrasonic …

We present the first real-world dataset and quantitative evaluation of visual attention of
mobile device users in-situ, ie while using their devices during everyday routine …

Autonomous vehicles offer a driverless future, however, despite the rapid progress in
ubiquitous technologies, human situational assessment continues to be required. For …

Attention is an important mechanism for young adults, whose lives largely involve interacting
with media and performing technology multitasking. Nevertheless, the existing studies …

Student attention is an indispensable input for uncovering their goals, intentions, and
interests, which prove to be invaluable for a multitude of research areas, ranging from …