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 …

Road vehicle accidents are mostly due to human errors, and many such accidents could be
avoided by continuously monitoring the driver. Driver monitoring (DM) is a topic of growing …

Recent technological advances, especially in the field of machine learning, provide
astonishing progress on the road towards artificial general intelligence. However, tasks in …

Inter-personal anatomical differences limit the accuracy of person-independent gaze
estimation networks. Yet there is a need to lower gaze errors further to enable applications …

Recently, Artificial Intelligence (AI) has been used to enable efficient decision-making in
managerial and organizational contexts, ranging from employment to dismissal. However, to …

Since 2021, the term" Metaverse" has been the most popular one, garnering a lot of interest.
Because of its contained environment and built-in computing and networking capabilities, a …

Estimating eye-gaze from images alone is a challenging task, in large parts due to un-
observable person-specific factors. Achieving high accuracy typically requires labeled data …

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 …

Feedback on cognitive workload may reduce decision-making mistakes. Machine learning-
based models can produce feedback from physiological data such as …

Social and emotional intelligence are aspects of human intelligence that have been argued
to be better predictors than IQ for measuring aspects of success in life, especially in social …