The EM algorithm for graphical association models with missing data
Computational Statistics & Data Analysis - Special issue dedicated to Toma´sˇ Havra´nek
Discourse and Information Structure
Journal of Logic, Language and Information
Towards integrated microplanning of language and iconic gesture for multimodal output
Proceedings of the 6th international conference on Multimodal interfaces
Synthesizing multimodal utterances for conversational agents: Research Articles
Computer Animation and Virtual Worlds
Coordination and context-dependence in the generation of embodied conversation
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Decision Analysis
Gesture modeling and animation based on a probabilistic re-creation of speaker style
ACM Transactions on Graphics (TOG)
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
GNetIc --- Using Bayesian Decision Networks for Iconic Gesture Generation
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Recreation of spontaneous non-verbal behavior on a synthetic agent EVA
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Form-Oriented annotation for building a functionally independent dictionary of synthetic movement
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
Guest Editorial: Gesture and speech in interaction: An overview
Speech Communication
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Why an iconic gesture takes its particular form is a largely open question, given the variations one finds across both situations and speakers. We present results of an empirical study that analyzes correlations between contextual factors (referent features, discourse) and gesture features, and tests whether they are systematic (shared among speakers) or idiosyncratic (inter-individually different). Based on this, a computational model of gesture formation is presented that combines data-based, probabilistic and model-based decision making.