Call: Computational Intelligence and Affective Computing (CIAC) at 2012 IEEE World Congress on Computational Intelligence

2012 IEEE World Congress on Computational Intelligence
Special Session on Computational Intelligence and Affective Computing (CIAC)
June 10-15, 2012, Brisbane, Australia


Anton Nijholt, University of Twente, The Netherlands,
Dongrui Wu, GE Global Research, Niskayuna, NY, USA,

Aim and Scope:

Computational intelligence is a set of Nature-inspired computational methodologies and approaches to address complex real world problems to which traditional methodologies and approaches (first principles, probabilistic, black-box, etc.) are ineffective or infeasible. It includes neural networks, fuzzy logic systems, evolutionary computation, swarm intelligence, chaos theory, etc.

Affective computing is computing that relates to, arises from, or deliberately influences affects. It has been gaining popularity rapidly in the last decade because it has great potential in the next generation of human-computer interfaces. One goal of affective computing is to design a computer system that responds in a rational and strategic fashion to real-time changes in user affect (e.g., happiness, sadness, etc), cognition (e.g., frustration, boredom, etc) and motivation, as represented by speech, facial expressions, physiological signals, neurocognitive performance, etc.

Affective computing raises many new challenges for signal processing and machine learning. Especially, the body signals used for emotion recognition are very noisy and subject-dependent. Computational intelligence methods, particularly fuzzy logic systems, may be used to build intuitive and robust emotion recognition algorithms. On the other hand, emotions, which are intrinsic to human beings, may also inspire some new computational intelligence algorithms, just like how human brains inspired neural networks and population-based sexual evolution through reproduction of generation inspired evolutionary computation.

The Computational Intelligence and Affective Computing special session aims at bringing together researchers from both areas to discuss how computational intelligence algorithm can be used to solve challenging affective computing problems, and how affects (emotions) can inspire new computational intelligence algorithms. Topics of interest for this special session include but are not limited to:

  • Emotion-inspired computational intelligence algorithms
  • Computational models and architecture for processing emotions and other affective states
  • Automatic emotion recognition & synthesis from physiological signals, facial expressions, body language, speech, or neurocognitive performance
  • Emotion mining from texts, images, or videos
  • Affective interaction with virtual agents and robots
  • Applications of affective computing in interactive learning, affective gaming, personalized robotics, virtual reality, social networking, smart environments, healthcare and behavioral informatics, etc.

Important Dates:

Paper Submission: December 19, 2011
Acceptance Notification: February 20, 2012
Final Manuscript Due: April 2, 2012

Paper Submission:

Manuscripts should be prepared according to the standard format and page limit specified in WCCI 2012. For more submission instructions, please see the WCCI submission page at: Please indicate during submission that your paper is submitted to this special session.

Program Committee:

Egon L. van den Broek, University of Twente, The Netherlands
Hani Hagras, University of Essex, UK
Marie-Jeanne Lesot, LIP6-UPMC, France
Peter Lewis, University of Birmingham, UK
Chin-Teng Lin, National Chiao Tung University, Taiwan
Shrikanth Narayanan, University of Southern California, USA
Anton Nijholt, University of Twente, The Netherlands
Ana Paiva, Technical University of Lisbon, Portugal
Maria Rifqi, LIP6-UPMC, France
Mei Si, Rensselaer Polytechnic Institute, USA
Carlo Strapparava, Fondazione Bruno Kessler, Italy
Shangfei Wang, University of Science and Technology of China, China
Dongrui Wu, GE Global Research, USA
Georgios Yannakakis, IT University of Copenhagen, Denmark
Slawomir Zadrozny, Polish academy of science, Poland


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