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.
Original language | Undefined |
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Title of host publication | Proceedings of the 4th 4th International Conference on Affective Computing and Intelligent Interaction, ASCII 2011 |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 477-486 |
Number of pages | 10 |
ISBN (Print) | 978-3-642-24599-2 |
DOIs | |
Publication status | Published - Oct 2011 |
Event | 4th International Conference on Affective Computing and Intelligent Interaction, ASCII 2011 - Memphis, United States Duration: 9 Oct 2011 → 12 Oct 2011 Conference number: 4 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer Verlag |
Volume | 6974 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 4th International Conference on Affective Computing and Intelligent Interaction, ASCII 2011 |
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Abbreviated title | ASCII |
Country/Territory | United States |
City | Memphis |
Period | 9/10/11 → 12/10/11 |
Keywords
- METIS-281604
- Machine Learning
- IR-78729
- EWI-20908
- Social Signals
- Smiles
- HMI-IA: Intelligent Agents
- Conversation