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Project Name: SSPNET: Social Signal Processing Network
Abbreviation: SSPNET Start date:
February 1, 2009 End date:
February 1, 2014 Project Description:
SSPNET is a new Network of Excellence funded under work programme
topic ICT-2007.2.2 of the European Commission's Seventh Framework
Programme. It is coordinated by the IDIAP Research Institute in
Switzerland, with funding running from 1 Feb 2009 for 60 months.
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.
Although each one of us understands the importance of social signals
in everyday life situations, and in spite of recent advances in
machine analysis and synthesis of relevant behavioural cues like
blinks, smiles, crossed arms, laughter, etc., the research efforts in
machine analysis and synthesis of human social signals like empathy,
politeness, and (dis)agreement, are few and tentative. The main
reasons for this are the absence of a research agenda and the lack of
suitable resources for experimentation.
The mission of the SSPNet is to create a sufficient momentum by
integrating an existing large amount of knowledge and available
resources in Social Signal Processing (SSP) research domains including
cognitive modelling, machine understanding, and synthesizing social
behaviour, and so: (i) enable creation of the European and world
research agenda in SSP, (ii) provide efficient and effective access to
SSP-relevant tools and data repositories to the research community
within and beyond the SSPNet, and (iii) further develop complementary
and multidisciplinary expertise necessary for pushing forward the
cutting edge of the research in SSP.
The collective SSPNet research effort will be directed towards
integration of existing SSP theories and technologies, and towards
identification and exploration of potentials and limitations in SSP. A
particular scientific challenge that binds the partners is the
synergetic combination of human-human interaction models and tools for
human behaviour sensing and synthesis within socially-adept multimodal
interfaces.
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The following HMI-member(s) is/are coordinator of this Project
Dirk Heylen
Here you can find the publications
The following ShowCases are associated with this Project
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