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 …

Minimizing user cognitive load is suggested as an integral part of human-centered design,
where a more intuitive, easy to learn, and adaptive interface is desired. In this context, it is …

Users' cognitive load while interacting with a system is a valuable metric for evaluations in
HCI. We encourage the analysis of eye movements as an unobtrusive and widely available …

Human visual behaviour has significant potential for activity recognition and computational
behaviour analysis, but previous works focused on supervised methods and recognition of …

Recognizing the moment when designers are experiencing heightened cognitive load
contributes to capturing the time when designers require knowledge, allowing for timely …

Currently, VR technology is increasingly being used in applications to enable immersive yet
controlled research settings. One such area of research is expertise assessment, where …

Gaze and speech are rich contextual sources of information that, when combined, can result
in effective and rich multimodal interactions. This paper proposes a machine learning-based …

Monitoring pupil and blink dynamics has applications in cognitive load measurement during
human-machine interaction. However, accurate, efficient, and robust pupil size and blink …

Pupillary responses have been for long linked to cognitive workload in numerous tasks. In
this work, we investigate the role of pupil dilations in the context of microsurgical training …

Mental state induced by different task contexts and load levels is of interest for human health
and wellness, and eye activity extracted from infrared eye images is well-suited to estimate …