Data compression is a promising approach for meeting the increasing memory capacity
demands expected in future systems. Unfortunately, existing compression algorithms do not …

Despite a large body of existing literature on automatic affect recognition, there seems to be
a lack of studies investigating task and social context for the purpose of automatically …

The present study aimed to test the hypothesis that a smiling expression on the face of a
talking pedagogical agent could positively affect a learner's emotions, motivation, and …

In order to improve the social capabilities of embodied conversational agents, we propose a
computational model to enable agents to automatically select and display appropriate …

Human's non-verbal behavior may convey different meanings. They can reflect one's
emotional states, communicative intentions but also his social relations with someone else …

Despite the importance of laughter in social interactions it remains little studied in affective
computing. Respiratory, auditory, and facial laughter signals have been investigated but …

Laughter commonly occurs in daily interactions, and is not only simply related to funny
situations, but also to expressing some type of attitudes, having important social functions in …

Excessive daytime somnolence (EDS) is defined as the inability to stay awake in daily life
activities. Several scales have been used to diagnose excessive daytime sleepiness, the …

Despite its importance in social interactions, laughter remains little studied in affective
computing. Intelligent virtual agents are often blind to users' laughter and unable to produce …

The classical experimental methodology is ill-suited for the investigation of the behavioral
and physiological correlates of natural social interactions. A new experimental approach …