Name
Title | ||
|---|---|---|
Information State Based Multimodal Dialogue Management: Estimating Conversational Engagement from Gaze Information |
Abstract | ||
|---|---|---|
Thanks to the progress of computer vision technologies and human sensing technologies, human behaviors, such as gaze and head poses, can be accurately measured in real time. Previous studies in multimodal user interfaces and intelligent virtual agents presented many interesting applications by exploiting such sensing technologies [1, 2]. However, little has been studied how to extract communication signals from a huge amount of data, and how to use such data in dialogue management in conversational agents. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04380-2_77 | IVA |
Keywords | Field | DocType |
conversational agent,communication signal,dialogue management,multimodal dialogue management,gaze information,huge amount,computer vision technology,human behavior,previous study,estimating conversational engagement,intelligent virtual agent,information state,multimodal user interface,interesting application,computer vision,real time | Dialogue management,Gaze,Computer science,Computational linguistics,Human–computer interaction,Human behavior,Dialog system,User interface,Multimedia | Conference |
Volume | ISSN | Citations |
5773 | 0302-9743 | 2 |
PageRank | References | Authors |
0.37 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yukiko Nakano | 1 | 501 | 62.37 |
| Yuji Yamaoka | 2 | 9 | 4.63 |