Name
Title | ||
|---|---|---|
Evaluation Of A User-Adapted Spoken Language Dialogue System Measuring The Relevance Of The Contextual Information Sources |
Abstract | ||
|---|---|---|
We present an evaluation of a spoken language dialogue system with a module for the management of user related information, stored as user preferences and privileges. The flexibility of our dialogue management approach, based on Bayesian Networks (BN), together with a contextual information module, which performs different strategies for handling such information, allows us to include user information as a new level into the Context Manager hierarchy. We propose a set of objective and subjective metrics to measure the relevance of the different contextual information sources. The analysis of our evaluation scenarios shows that the relevance of the short-term information (i.e. the system status) remains pretty stable throughout the dialogue, whereas the dialogue history and the user profile (i.e. the middle-term and the long-term information, respectively) play a complementary role, evolving their usefulness as the dialogue evolves. |
Year | Venue | Keywords |
|---|---|---|
2011 | ICAART 2011: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1 | Spoken language dialogue systems, User interfaces, Contextual information, User profiles, Natural language processing, Real-user evaluation |
Field | DocType | Citations |
Contextual information,Dialogue management,Computer science,User information,Human–computer interaction,Bayesian network,Artificial intelligence,Natural language processing,Hierarchy,Machine learning,Spoken language | Conference | 1 |
PageRank | References | Authors |
0.35 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Manuel Lucas-Cuesta | 1 | 35 | 4.37 |
| Fernando Fernández-Martínez | 2 | 48 | 9.27 |
| G. Dragos Rada | 3 | 1 | 0.35 |
| Syaheerah L. Lutfi | 4 | 15 | 2.17 |
| Javier Ferreiros | 5 | 1 | 0.35 |