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 …

Non-invasive automatic screening for Alzheimer's disease has the potential to improve
diagnostic accuracy while lowering healthcare costs. Previous research has shown that …

Automatically detecting attentional states is a prerequisite for designing interventions to
manage attention-knowledge workers' most critical resource. As a first step towards this …

Video is becoming a dominant medium for the delivery of educational material. Despite the
widespread use of video for learning, there is still a lack of understanding about how best to …

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

Premature technology, privacy, intrusiveness, power consumption, and user habits are all
factors potentially contributing to the lack of social acceptance of smart glasses. After …

Commercial smart eyewear products designed for day-today use have drastically improved
in recent years. However, the current utility and applications of smart eyewear can be easily …

Human-AI mixed reality systems are becoming ubiquitous from day-to-day intelligent
personal assistants to specialized, high stakes AI-assisted decision making tools. While …