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Workshop date: 21 or 25 March 2011 (This is a one day workshop, exact date will be announced soon)
in conjunction with FG 2011

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There is a strong interest in fields like computer vision, audio processing, multimedia, HCI, and pervasive computing, in designing computational models of human interaction in realistic social settings. Such interest is boosted by the increasing capacity to acquire behavioral data with cameras, microphones and other fixed and mobile sensors. Unlike the traditional HCI view, which emphasizes communication between a person and a computer, the emphasis of an emerging body of research has been shifting towards communicative social behavior in natural situations, with examples such as informal conversational settings, general workplace environments, interviews, and meeting scenarios.

The workshop will gather, discuss, and disseminate unpublished work on computational models and systems for the analysis of social behavior. Given the scope of Automatic Face and Gesture Recognition conference, we would like to focus on automatic techniques for visual analysis of human communication and on the applications that are built on top of it. We welcome contributions that present robust techniques for the analysis of gestures and facial expressions in natural conversational environments to model social behavior in everyday life and reason about them. We also strongly encourage the participation of colleagues from behavioral sciences: studies of nonverbal behavior and social interaction provide highly valuable information, concepts, and frameworks to guide automatic analysis, while efforts in automatic analysis of social behavior provide new tools, data, and insights to behavioral scientists interested in nonverbal behavior and social interaction.
We invite contributions that address the following (non-exhaustive) list of topics:

Social behavior analysis
* Analysis and recognition of visual social cues and others:
o Visual nonverbal cues (body postures, hand gestures, head gestures, actions ...)
o Multimodal affect recognition
o Nonverbal cues from other sensors
* Multimodal computational models for the analysis, estimation, and prediction of social behavior aspects and dimensions (interest level, dominance, rapport, deception...) and of individual properties affecting it (e.g., personality traits, preferences...)
* Analysis of conversational dynamics
* Multimodal data corpora for social behavior analysis

Systems and devices for capturing social behavior
* Smart camera/microphone systems
* Novel sensor technologies
* Wearable devices
* Cell phones

Socially aware systems and applications
* Computers and robots in the human interaction loop
* Individual and group self-awareness
* Educational applications
* Workplace applications
* Healthcare applications
* Game applications
* Art & creative applications


Organizers:
Oya Aran, Idiap Research Institute
Daniel Gatica-Perez, Idiap Research Institute
Louis-Philippe Morency, University of Southern California
Fabio Pianesi, University of Trento