Abstract
In this paper we will present our design for generating listening behavior for embodied conversational agents. It uses a corpus based prediction model to predict the timing of backchannels. The design of the system iterates on a previous design (Huang et al. [5]) on which we propose improvements in terms of robustness and personalization. For
robustness we propose a variable threshold determined at run-time to regulate the amount of backchannels being produced by the system. For personalization we propose a character specication interface where the typical type of head nods to be displayed by the agent can be specied and ways to generate slight variations during runtime.
Original language | English |
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Title of host publication | Proceedings of the 12th International Conference on Intelligent Virtual Agents, IVA 2012 |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 268-274 |
Number of pages | 7 |
ISBN (Print) | 978-3-642-33196-1 |
DOIs | |
Publication status | Published - Sept 2012 |
Event | 12th International Conference on Intelligent Virtual Agents, IVA 2012 - Santa Cruz, United States Duration: 12 Sept 2012 → 14 Sept 2012 Conference number: 12 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer Verlag |
Volume | 7502 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 12th International Conference on Intelligent Virtual Agents, IVA 2012 |
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Abbreviated title | IVA |
Country/Territory | United States |
City | Santa Cruz |
Period | 12/09/12 → 14/09/12 |
Keywords
- HMI-IA: Intelligent Agents