2013 IEEE Symposium on Computational Intelligence for Creativity and Affective Computing (CICAC)
Computational Intelligence (CI) techniques, including neural network, fuzzy systems, and evolutionary computation, have shown to be effective for search and optimization problems. Recently, CI gained several promising results and becomes an important tool in Computational Creativity, such as in music, visual art, literature, architecture, and industrial design. The goal is to enhance autonomous creative systems as well as human creativity.
In addition, taking into account emotions (or more generally affects) is currently widely explored to improve the quality of human-machine interaction and to ease the communication with users or potential customers. Affective or emotional computing covers a wide range of issues, challenges and approaches, both for emotion simulation (in particular for new generations of intelligent agents), emotion elicitation, expression and recognition. The latter is declined along several types of modalities and media data, such as physiological signals, facial expressions, speech, text, images and video. Each of these modalities and media raises specific requirements.
Thus, affective computing raises new challenges for computational intelligence, regarding e.g. computational representations of emotions and affective states, on the basis of psychological models, the architecture of systems modeling and processing these concepts as well as dedicated machine learning techniques appropriate to deal with the specificity of the related data.
The 2013 Workshop on Computational Intelligence for Computational Creativity and Affective Computing reflects the most recent advances in the various disciplines contributing to the domain, offering an overview on the current state of the art on this challenging and fast developping field.