The present study investigates the potential of measuring a person's stress level by their
computer mouse usage. This measurement approach is based on the assumption that …

Affective computing research has advanced emotion recognition systems using facial
expressions, voices, gaits, and physiological signals, yet these methods are often …

Hazard perception (HP) is the ability to spot on-road hazards in time to avoid a collision. This
skill is traditionally measured by recording response times to hazards in video clips of …

This paper aims to stir debate about a disconcerting privacy issue on web browsing that
could easily emerge because of unethical practices and uncontrolled use of technology. We …

Loyal customers play an important role in every store's success. They tend to buy regularly
and help stabilize incomes. Being able to identify potential repeat buyers allows marketers …

Mouse dynamics, information on user's interaction with a computer mouse, are in vogue in
machine learning for purposes such as recommendations, personalization, prediction of …

Computer mouse tracking is a simple and cost-efficient way to gather continuous behavioral
data. As theory suggests a relationship between affect and sensorimotor processes, the …

Recent evidence suggests that top-down attention facilitates unconscious semantic
processing. To clarify the role of attention in unconscious semantic processing, we traced …

A handful of research has demonstrated the potential of mouse tracking for emotion
assessment. Yet, theoretical and empirical bases for this approach remain opaque. If …

Mouse-cursor tracking, a new action-based measure of behavior, has emerged as one of the
promising applications of affective computing. As facial expressions, gaits …