Call: Workshop on Affective Computational Intelligence (WACI 2013)

Workshop on Affective Computational Intelligence

part of the next IEEE Symposium Series on Computational Intelligence
that will take place in Singapore, on April 15-19, 2013.

Topics of interest for WACI 2013 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
  • Multimodal emotional corpora
  • 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:

Paper submission: 10 Oct 2012
Decision: 5 Jan 2013
Final submission: 5 Feb 2013
Early Registration: 5 Feb 2013
Conference: 15-19 Apr 2013


Papers should be a maximum of 8 pages IEEE format (see submission guidelines on

Every paper will be reviewed by at least 2 members of the program committee.

WACI co-organizers

Marie-Jeanne Lesot, LIP6 – UPMC, France
Jean-Claude Martin, LIMSI, France
Maria Rifqi, LIP6 – Paris II, France

Workshop description

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 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.

Program Committee

Thierry Artières, LIP6 – UPMC, France
Thierry Baccino, Université de Paris VIII, France
Gérard Bailly, GIPSA-lab, University of Grenoble, France
Christian Becker-Asano, Albert-Ludwigs-Universität Freiburg, Germany
Nadia Berthouze, University College London, UK
Ginevra Castellano, University of Birmingham, UK
Pau-Choo Julia Chung, Smile Lab, National Cheng Kung University, Taiwan
Jeff Cohn, University of Pittsburgh, USA
Ernesto De Luca, Fachhochschule Potsdam, Germany
Celso de Melo, University of South California, USA
Marcin Detyniecki, LIP6 – CNRS, France
Laurence Devillers, University Paris-Sorbonne, France
Jean-Marc Fellous, University of Arizona, USA
Hani Hagras, University of Essex, UK
Robert Houghton, University of Nottingham, UK
Eyke Hüllermeier, University of Marburg, Germany
Arvid Kappas, Jacobs University Bremen, Germany
Kostas Karpouzis, National Technical University of Athens, Greece
Jim Keller, University of Missouri, USA
Chin-Teng Lin, National Chiao-Tung University, Taiwan
Christine Lisetti, Florida International University, USA
Radoslaw Niewiadomski, Telecom Paris Tech, France
Magalie Ochs, Telecom Paris Tech, France
Jean-François Omhover, Arts Et Metiers ParisTech, France
Joseph Orero, Jomo Kenyatta University of Agriculture and Technology, Kenya
Andrew Ortony, Northwestern University, USA
Helen Pain, University of Edinburgh, UK
Catherine Pelachaud, Telecom Paris Tech, France
Isabella Poggi, University Roma Tre, Italy
Thierry Pun, University of Geneva, Switzerland
Rainer Reisenzein, EMA University Greifswald, Germany
Peter Roelofsma, VUA University Amsterdam, The Netherlands
Nicolas Sabouret, LIMSI, France
Jean-Paul Sansonnet, LIMSI, France
Charles Tijus, University Paris VIII, France
Egon L van den Broek, University of Twente, The Netherlands
Christian Wagner, University of Nottingham, UK
Chung-Hsien Wu, National Cheng Kung University, Taiwan
Dongrui Wu, GE Global Research, USA
Georgios Yannakakis, IT University of Copenhagen, Denmark
Slawomir Zadrozny, Polish Academy of Sciences, Poland


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