Recently, the automatic prediction of personality traits has received a lot of attention.
Specifically, personality trait prediction from multimodal data has emerged as a hot topic …

In recent years, people have preferred interacting on social media instead of physical
meetings. Researchers have explored social media text data to predict user personality …

Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …

E-learning is gradually gaining prominence in higher education, with universities enlarging
provision and more students getting enrolled. The effectiveness of automated essay scoring …

This paper summarizes the 2021 ChaLearn Looking at People Challenge on Understanding
Social Behavior in Dyadic and Small Group Interactions (DYAD), which featured two tracks …

This paper introduces UDIVA, a new non-acted dataset of face-to-face dyadic interactions,
where interlocutors perform competitive and collaborative tasks with different behavior …

In recent years, deep learning-based automated personality traits detection has received a
lot of attention, especially now, due to the massive digital footprints of an individual …

Personality computing has become an emerging topic in computer vision, due to the wide
range of applications it can be used for. However, most works on the topic have focused on …

We are what we do, like, and say. Numerous research efforts have been pushed towards the
automatic assessment of personality dimensions relying on a set of information gathered …

In recent years, deep learning-based automated personality trait detection has received a lot
of attention, especially now, due to the massive digital footprints of an individual. Moreover …