**** Special Session on Affective Computational Intelligence ****
SSACI’2014

****           DEADLINE EXTENSION  :   31 Dec 2013             ****

SSACI 2014 part of the next International Conference on Information Processing and
Management of Uncertainty in Knowledge-Based Systems    IPMU 2014,
http://www.ipmu2014.univ-montp2.fr
that will take place in Montpellier, on July 15-19, 2014.

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 special session on Affective Computational Intelligence aims at gathering researchers from the various disciplines contributing to the domain, to offer a global and comprehensive overview of the current state of the art on this challenging and fast developing field.

** Topics  of interest for SSACI 2014 include but are not limited to:

Theories of emotions from psychology and their application to computer sciences Computational models and architecture for processing emotions and other affective states Management of the uncertainty and imprecision in particular related to affective states or the associated measurements Automatic emotion recognition from physiological signals, facial expressions, body language, speech Emotion mining in texts, images, videos, film, multimedia data Affective interaction with virtual agents and robots

** Important dates:

EXTENDED Paper submission: 9 Dec 2013 —–> 31 Dec 2013
Decision: 24 Feb 2014
Final submission: 31 Mar 2014
Conference: 15-19 July 2014