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Titlebook: Intelligent Virtual Agents; 7th International Wo Catherine Pelachaud,Jean-Claude Martin,Danielle Pe Conference proceedings 2007 Springer-Ve

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Catherine Pelachaud,Jean-Claude Martin,Danielle Pe
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The Behavior Markup Language: Recent Developments and Challengesess made in the last year in further developing BML. It discusses some of the key challenges identified that the effort is facing, and reviews a number of projects that already are making use of BML or support its use.
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So Let’s See: Taking and Keeping the Initiative in Collaborative Dialogueste University Quake Corpus reveal that discursive dominance is a shared achievement of speakers and given, taken or kept in a consensual way, up to the point where they incur “costs” in terms of efficiency in solving the task. Some verbal signals can be identified as relevant to this process.
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Simulation Level of Detail for Virtual Humansnique is that it allows for several degrees of detail, i.e. for .varying of simulation quality. In this paper, we summarise the main lessons learned, introduce the prototype implementation called IVE and discuss the possibility of scaling our technique to other applications featuring virtual humans.
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Semantic Segmentation of Motion Capture Using Laban Movement Analysistic features which, often yield unsophisticated segmentations. The LMA features are computed using a collection of neural networks trained with temporal variance in order to create a classifier that is more robust with regard to input boundaries. The actual segmentation points are derived through simple time series analysis of the LMA features.
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Searching for Prototypical Facial Feedback Signalsbination of signals can have a meaning on its own or not, i. e. the meaning of single signals is different from the meaning attached to the combination of these signals. Results show that in some cases a combination of signals alters the perceived meaning of the backchannel.
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