Name
Title | ||
|---|---|---|
Prediction of ice-breaking between participants using prosodic features in the first meeting dialogue |
Abstract | ||
|---|---|---|
In the human-human first meeting dialogue, people tend to have a chat before their main topics to break tension or the \"ice.\" This phenomenon is called \"ice-breaking.\" For realizing this kind of natural conversations in dialogue systems, we address prediction of ice-breaking using prosodic features in dialogue. This will allow for the systems to change conversation topics smoothly. At first, we statistically analyze relationships between prosodic features and ice-breaking events, to select the useful feature sets showing significant effects. Then, prediction of ice-breaking is conducted by a logistic regression model with these features, which shows a promising result. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/3005467.3005472 | ASSP4MI@ICMI |
DocType | ISBN | Citations |
Conference | 978-1-4503-4557-6 | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hirofumi Inaguma | 1 | 0 | 1.35 |
| Koji Inoue | 2 | 370 | 42.28 |
| Shizuka Nakamura | 3 | 2 | 4.45 |
| Katsuya Takanashi | 4 | 49 | 13.40 |
| Tatsuya Kawahara | 5 | 1352 | 196.52 |