Emotion detection (ED) is a branch of sentiment analysis that deals with the extraction and
analysis of emotions. The evolution of Web 2.0 has put text mining and analysis at the …

The booming Artificial Intelligence (AI) provides fertile ground for AI in education. So far, few
reviews have been deployed to explore how AI empowers English as Foreign Language …

As artificial intelligence (AI) became a part of daily life, it has become important to determine
user competence in using AI technology. Here, we propose the concept of AI literacy and …

One of the most significant fields in the man–machine interface is emotion recognition using
facial expressions. Some of the challenges in the emotion recognition area are facial …

Automated affective computing in the wild setting is a challenging problem in computer
vision. Existing annotated databases of facial expressions in the wild are small and mostly …

Artificial Intelligence (AI) is an emerging technological field with immense transformative
potential. Within this context, we discuss the diverse ways AI is transforming innovation. We …

Depression is a common illness worldwide with potentially severe implications. Early
identification of depressive symptoms is a crucial first step towards assessment, intervention …

This chapter discusses the ethical issues that are raised by the development, deployment
and use of AI. It starts with a review of the (ethical) benefits of AI and then presents the …

Emotions widely affect human decision-making. This fact is taken into account by affective
computing with the goal of tailoring decision support to the emotional states of individuals …

The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …