2013 Fiscal Year Final Research Report
Development of Dialogue Management Mechanism for Embodied Conversational Agent in Engaging with Multiple Users
| Project/Area Number |
23700183
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Intelligent informatics
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| Research Institution | Ritsumeikan University |
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Principal Investigator |
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| Project Period (FY) |
2011 – 2013
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| Keywords | ユーザ・インターフェース / 人工知能 / 音声対話システム |
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| Research Abstract |
There are more and more real-world deployed applications of embodied conversational agents (ECA's). These agent systems are usually used by groups of visitors rather than individuals. This situation is more complex than single user one, specific features are required. This project aims to build an information providing agent for collaborative decision making tasks. A Wizard-of-Oz (WOZ) experiment was conducted for collecting human/agent interaction data. By analyzing it, the model for identifying the addressee of user utterances have been developed with machine learning techniques on visual (face direction and movements) and acoustic (intensity, pitch, and speed) data of the corpus. We then incorporated it into a fully autonomous multiparty ECA. The system identifies the addressee and uses this information in language understanding and dialogue management. Finally, an evaluation experiment shows that the proposed addressee identification mechanism works well in a real-time system.
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