When Do We Smile? Analysis and Modeling of the Nonverbal Context of Listener Smiles in Conversation

Kok de, Iwan and Heylen, Dirk (2011) When Do We Smile? Analysis and Modeling of the Nonverbal Context of Listener Smiles in Conversation. In: 4th International Conference on Affective Computing and Intelligent Interaction, ASCII 2011, 9-12 October 2011, Memphis, Tennessee, USA.

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Abstract:	In this paper we will look into reactive models for embodied conversational agents for generating smiling behavior. One trigger for smiling behaviour is smiling of the human interlocutor which is used in reactive models based on mimicry. However, other features might be useful as well. In order to develop such models we look at the nonverbal context of smiles in human-human conversation. We make a distinction between three types of smiles - amused, polite and embarrassed - and highlighted dierences in context where each type occurs in conversation. Using machine learning techniques we have build predictive models using the nonverbal contextual features analyzed. Results show that reactive models can oer an interesting contribution to the generation of smiling behaviors.
Item Type:	Conference or Workshop Item
Copyright:	© 2011 Springer
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/78729
Official URL:	http://dx.doi.org/10.1007/978-3-642-24600-5_51
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