| other,9-7-P03-1033,ak | cooperative responses </term> adaptive to <term> | individual users | </term> serve as good guidance for <term> novice | #4414 Experimental evaluation shows that the cooperative responses adaptive toindividual users serve as good guidance for novice users without increasing the dialogue duration for skilled users. | |
| other,9-1-P03-1033,ak | modeling </term> in order to generate <term> | cooperative responses | </term> to each user in <term> spoken dialogue | #4290 We address appropriate user modeling in order to generatecooperative responses to each user in spoken dialogue systems. | |
| other,11-3-P03-1033,ak | </term> of <term> user models </term> : <term> | skill level | </term> to the <term> system </term> , <term> knowledge | #4335 Specifically, we set up three dimensions of user models:skill level to the system, knowledge level on the target domain and the degree of hastiness. | |
| tech,8-4-P03-1033,ak | </term> are automatically derived by <term> | decision tree learning | </term> using real <term> dialogue data </term> | #4361 Moreover, the models are automatically derived bydecision tree learning using real dialogue data collected by the system. | |
| model,16-2-P03-1033,ak | typical kinds of <term> users </term> , the <term> | user model | </term> we propose is more comprehensive | #4316 Unlike previous studies that focus on user's knowledge or typical kinds of users, theuser model we propose is more comprehensive. | |
| other,16-7-P03-1033,ak | users </term> serve as good guidance for <term> | novice users | </term> without increasing the <term> dialogue | #4421 Experimental evaluation shows that the cooperative responses adaptive to individual users serve as good guidance fornovice users without increasing the dialogue duration for skilled users. |
