As Rosalind W. Picard reflects on the events that moved her from research to the lab to a
real-world application, she can't help but think... who would have expected efforts to develop …

The field of artificial intelligence (AI) has gained immense traction over the past decade,
producing increasingly successful applications as research strives to understand and exploit …

Emotions can be evoked in humans by images. Most previous works on image emotion
analysis mainly used the elements-of-art-based low-level visual features. However, these …

Emotion is an important driver of human decision-making and communication. With the
recent rise of human–computer interaction, affective computing has become a trending …

In this paper, we develop a taxonomy of conceptual models and proxy data used for digital
analysis of human emotional expression and outline how the combinations and …

Although much progress has been made in visual emotion recognition, researchers have
realized that modern deep networks tend to exploit dataset characteristics to learn spurious …

The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …

For Readers of Ray Kurzweil and Michio Kaku, a New Look at the Cutting Edge of Artificial
Intelligence Imagine a robotic stuffed animal that can read and respond to a child's …

This chapter presents a short history of psychological theory and research on emotion since
the beginnings of psychology as an academic discipline in the last third of the nineteenth …

Images can convey rich semantics and induce strong emotions in viewers. Recently, with the
explosive growth of visual data, extensive research efforts have been dedicated to affective …