The ability to understand and manage social signals of a person we are communicating with is the core of social intelligence. Social Intelligence is a facet of human intelligence that has been argued to be indispensable and perhaps the most important for success in life. A widely accepted prediction is that next-generation computing needs to include the essence of social intelligence – the ability to recognize and generate social signals and social behaviours – in order to become more effective and more efficient. Due to this vision of the future, automated analysis and synthesis of social signals and social behaviours, including social interactions (like turn taking and backchanelling), social attitude (like alliance), and social relations/ roles, have attracted increasing attention.
Machine analysis of human social interactions and social signals is progressing rapidly with new or pending applications in HCI, psychology, biomedicine, politics, and entertainment technology, among other fields. With these advances come new conceptual and methodological challenges. The workshop aims at presenting cutting-edge research and new challenges in automatic analysis and synthesis of human social interactions and signalling in an interdisciplinary forum of computer and behavioral scientists.
We seek to attract contributions representing the state-of-the-art efforts to develop algorithms that can process naturally occurring human social communication, decode communicative intent, and generate the appropriate socially-adept responses.
Relevant topics for the workshop include but are by no means limited to:
- Social psychology and social signals processing
- Facial behaviour analysis and synthesis in social interactions
- Expressive speech analysis and synthesis in social interactions
- Human gesture and action recognition and synthesis in social interactions
- Multimodal human behavior analysis and synthesis in social interactions
- Perceptual, multimodal, and socially-aware user interfaces
- Socially-adept Embodied Conversational Agents
- Databases for training and testing
- Socially-aware computing and applications
Papers should describe high-quality original research that has direct implications and contributions to social signal processing and machine analysis and synthesis of naturally occurring human social behavior. All areas of human-human, human-environment, and human-computer interaction will be considered subject to the constraint that the submission makes an important contribution to the field of social signal processing. In general, papers that solely describe a signal processing, multimedia analysis or pattern recognition approach with potential applications to social signal processing should be submitted to the ACM Multimedia general conference. Note that although applications of known multimedia analysis, signal processing and pattern recognition techniques are welcome, we will give priority to those works that also make theoretical contributions to these fields and the field of social signal processing.
Survey papers are welcome and encouraged. Authors interested in submitting a survey article may want to contact the Workshop co-organizer (firstname.lastname@example.org) prior to submission.
Hatice Gunes (Queen Mary University London)
Shri Narayanan (University of Southern California)
Matthias Mehl (University of Arizona)
Louis-Philippe Morency (Institute of Creative Technologies)
The workshop is held in conjunction with the ACM International Conference on Multimedia, Scottsdale, Arizona (USA), November 29th-December 1st, 2011.
Information about the venue is available at the following link:
Deadline to register a paper for submission: July 6th, 2011
Paper submission: July 11th, 2011
Notification to authors: August 12th, 2011
Camera ready papers: September 5th, 2011
Workshop: December 1, 2011
Workshop papers must be formatted following the style guidelines available at
The paper must be submitted at the following link:
Imperial College London, Computing Dept. / University of Twente, EEMCS
University of Glasgow / Idiap Research Institute
Massachusetts Institute of Technology
Technical Program Committee
Irene Kotsia (Queen Mary University London, UK),
Antonis Oikonomopoulos (Imperial College London, UK)
Dennis Reidsma (University of Twente, NL)
Mohammad Soleymani (University of Geneva, CH),
Michel Valstar (Imperial College London, UK)
Stefanos Zafeiriou (Imperial College London, UK)