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SEMAINE

SEMAINE, or Sustained Emotionally coloured Machine-human Interaction using Non-verbal Expression, is a research project attempting to claw its way up the rungs of the oh so very long ladder of creating a true artificial intelligence.

This project deals with the creation of an artificial intelligence which is capable of understanding non-vocal communication, both conscious and subconscious, from a human. Body language, face movements, expressions and twitches, all interpreted correctly, without having to rely on spoken commands.

Status: Ongoing

Scientific Goals (From Project Site)

The Semaine project is an EU-FP7 1st call STREP project and aims to build a SAL, a Sensitive Artificial Listener, a multimodal dialogue system which can:

  • interact with humans with a virtual character
  • sustain an interaction with a user for some time
  • react appropriately to the user's non-verbal behaviour
In the end, this SAL-system will be released to a large extent as an open source research tool to the community.

Organisations Involved

*Note: For each organisation, a link to their website is provided, where known. If we have local information on the lab, company, or group then that information is also provided. This is standard layout on all Research Initiatives resources.

 

Organisation Website

Local Information

DFKI, Deutsches Forschungszentrum f?r K?nstliche Intelligenz, Germany DFKI  
Paris8: Universit? Paris VIII, France Paris8  
TUM: Technische Universit?t M?nchen, Germany TUM  
ICSTM: Imperial College of Science, Technology and Medicine, London, UK ICSTM  
QUB: Queen's University Belfast, UK QUB  
UT: Universiteit Twente, Netherlands UT  

Details

The aim of the SEMAINE project is to build a Sensitive Artificial Listener ? a multimodal dialogue system with the social interaction skills needed for a sustained conversation with a human user. The system will emphasise ?soft? communication skills, i.e. non-verbal, social and emotional perception, interaction and behaviour capabilities.

The Sensitive Artificial Listener paradigm involves only very limited verbal capabilities, but has been shown to be suited for prolonged human-machine interaction. In this paradigm, we will build a real-time, robust interactive system perceiving a human user's facial expression, gaze, and voice, and engaging with the user through an Embodied Conversational Agent's body, face and voice.

The agent will exhibit audiovisual listener feedback in real time while the user is speaking, and will take the user's feedback into account while the agent is speaking. The agent will pursue different dialogue strategies depending on the user's state; it will learn to interpret the user's non-verbal behaviour and adapt its own behaviour accordingly.

Project Home

The SEMAINE project

Dates

1st of April 2008, ongoing

Funding

The European Commission has awarded SEMAINE a grant of ?2.75 million

Staff Comments

 


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