Emotions are multifaceted phenomena that affect our behaviour, perception, and cognition.
Increasing evidence indicates that induction mechanisms play a crucial role in triggering …

Emotion, mood, and stress recognition (EMSR) has been studied in laboratory settings for
decades. In particular, physiological signals are widely used to detect and classify affective …

Precise emotion ground truth labels for 360° virtual reality (VR) video watching are essential
for fine-grained predictions under varying viewing behavior. However, current annotation …

Emotion recognition affords new approaches ranging from context-awareness to the
efficiency of system interaction with the ability to perceive and express emotions. While most …

The Component Process Model is a well-established framework describing an emotion as a
dynamic process with five highly interrelated components: cognitive appraisal, expression …

Emotion recognition models require datasets of physiological responses to stimuli designed
to elicit targeted emotions, preferably stimuli similar to the experience during which the …

User engagement in Virtual Reality (VR) games is crucial for creating immersive and
captivating gaming experiences that meet the expectations of players. However …

Due to multimodal approach, the virtual reality experiences become increasingly more
immersive and entertaining. New control modalities, such as brain-computer interfaces …

In this work, we present a preliminary analysis on emotion formation using a full Component
Process Model (CPM), which considers emotional experience as multi-processes with …

This paper addresses the need for collecting and labeling affect-related data in ecological
settings. Collecting the annotations in the wild is a very challenging task, which, however, is …