This article reports the results of the study related to emotion recognition by using eye‐
tracking. Emotions were evoked by presenting a dynamic movie material in the form of 21 …

Recognizing user emotions while they watch short-form videos anytime and anywhere is
essential for facilitating video content customization and personalization. However, most …

Fine-grained emotion recognition can model the temporal dynamics of emotions, which is
more precise than predicting one emotion retrospectively for an activity (eg, video clip …

Instead of predicting just one emotion for one activity (eg, video watching), fine-grained
emotion recognition enables more temporally precise recognition. Previous works on fine …

Pupil dilation and eye movements are closely related to human emotional and cognitive
processes. Visual stimulus, especially video clips, is widely used in computer-assisted …

Abstract Background and Objective Psychological stress identification generally uses a
questionnaire with strong subjectivity. In contrast, skin conductance (SC) is not controlled by …

Computational recognition of human emotion using Deep Learning techniques requires
learning from large collections of data. However, the complex processes involved in …

In modern society, people are exposed to various stressors and negative emotions daily and
they may cause mental and physical diseases such as depression, anxiety, high blood …

The prospects for using artificial intelligence in video analytics are becoming more and more
undeniable. Researchers are actively working on methods for making decisions based on …

User experience research is important to improve the quality and usability of products and
applications. The current methods of measuring emotions are mostly subjective, qualitative …