2013 IEEE Symposium on Computational Intelligence for Creativity and Affective Computing

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 aim of this Symposium organized by the Task Force on Creative Intelligence, IEEE Computational Intelligence Society, is to reflect the most recent advances of CI in Computational Creativity, with the goal to enhance autonomous creative systems as well as human creativity. This Symposium will allow researchers to share experiences and present their new ways for taking advantage of CI techniques in Creativity.

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.

 

Topics

Topics of interest include, but are not limited to, CI technologies in the following aspects:

•  Computational modelling of creativity and creative processes.
•  Data representations for creative systems.
•  Algorithmic design in creative intelligence.
•  Optimisation in creativity.
•  Development of hardware and software for creative systems.
•  Evaluation methodologies.
•  Assistance of human creativity.
•  Computational aesthetics.
•  Emotion response.
•  Human-machine creativity.
• Generation of art, including Visual Art, Architecture and Design, etc.

 

 

• 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

 

 

Keynote, Tutorial and Panel Sessions

Please forward your proposals with detailed abstract and bio-sketches of the speakers to Symposium Chair and SSCI Keynote-Tutorial Chair, Dr S. Das.

Special Sessions

Please forward your special session proposals to Symposium Chair.

Symposium Co-Chairs

Chuan-Kang Ting, National Chung Cheng University, Taiwan

 Francisco Fernández de Vega,  University of Extremadura, Spain  

 Palle Dahlstedt, University of Gothenburg, Sweden  

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

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• Program Committee (Provisional)

• Peter Bentley, University College London, UK

• Carlos Cotta, Universiy of Malaga, Spain

• Roberto De Prisco, Università di Salerno, Italy

• Alan Dorin, Monash University, Australia

• Anna Jordanous, King's College London, UK

• Oliver Kramer, Carl von Ossietzky Universität, Germany

• Penousal Machado, University of Coimbra, Portugal

• Jon McCormack, Monash University, Australia

• James McDermott, Massachusetts Institute of Technology, USA

• Eduardo Miranda, University of Plymouth, UK

  Ong Yew Soon, Nanyang Technological University, Singapore

  Kevin Wong, Murdoch University, Australia

  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