As one of the most important affective signals, facial affect analysis (FAA) is essential for
develo** human-computer interaction systems. Early methods focus on extracting …

Facial expression recognition (FER) is currently a very attractive research field in cognitive
psychology and artificial intelligence. In this paper, an innovative FER algorithm called deep …

Facial expression recognition (FER) is a crucial task for human emotion analysis and has
attracted wide interest in the field of computer vision and affective computing. General …

Facial affect recognition is a critical skill in human interactions that is often impaired in
psychiatric disorders. To address this challenge, tests have been developed to measure and …

Cartoon faces are widely used in social media, animation production, and social robots
because of their attractive ability to convey different emotional information. Despite their …

We investigate variability overweighting, a previously undocumented bias in line graphs,
where estimates of average value are biased toward areas of higher variability in that line …

Small multiples are a popular visualization method, displaying different views of a dataset
using multiple frames, often with the same scale and axes. However, there is a need to …

Smiles are distinct and easily recognizable facial expressions, yet they markedly differ in
their meanings. According to a recent theoretical account, smiles can be classified based on …

Background-objective The eyes play an important role in communicating emotions and
shape the determination of other facial attributes. Here, we explored the relationship …

For dynamic emotions to be modelled in a natural and convincing way, systems must rely on
accurate affective analysis of facial expressions in the first place. The present work …