Name
Title | ||
|---|---|---|
Analysis of efficient multimodal features for estimating user's willingness to talk: Comparison of human-machine and human-human dialog. |
Abstract | ||
|---|---|---|
A dialog system can select a more favorable action to a user by estimating the user's internal state. In this paper, we introduce the user's willingness to talk, whether the user wants to talk about a topic or to answer a question posed by the system. The dialog system is expected to increase user satisfaction by managing the dialog based on the user's willingness to talk. In the previous report, we investigated the effective multimodal features for estimating the willingness to talk through human-human dialogs but it was not clear whether these features were also useful for human-machine dialog. Thus, we collected the interview dialog data based on the Wizard of Oz (WOZ) basis and investigated the effect of the multimodal features by the discrimination experiments. |
Year | Venue | Field |
|---|---|---|
2017 | Asia-Pacific Signal and Information Processing Association Annual Summit and Conference | Dialog box,Mel-frequency cepstrum,Human–machine system,Pragmatics,Visualization,Computer science,Feature extraction,Human–computer interaction,Dialog system,Wizard of oz |
DocType | ISSN | Citations |
Conference | 2309-9402 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuya Chiba | 1 | 8 | 6.96 |
| Takashi Nose | 2 | 399 | 39.82 |
| Akinori Ito | 3 | 272 | 62.32 |