Analysis of Interaction Parameter Levels in Interaction Quality Modelling for Human-Human Conversation

被引：0

作者：

Spirina, Anastasiia ^{[1
]}

Vaskovskaia, Olesia ^{[2
]}

Karaseva, Tatiana ^{[2
]}

Skorokhod, Alina ^{[2
]}

Polonskaia, Iana ^{[2
]}

Sidorov, Maxim ^{[1
]}

机构：

[1] Univ Ulm, Inst Commun Engn, Ulm, Germany

[2] Reshetnev Siberian State Univ Sci & Technol, Krasnoyarsk, Russia

来源：

SPEECH AND COMPUTER, SPECOM 2017 | 2017年 / 10458卷

关键词：

Human-human interaction; Task-oriented dialogues; Performance; AGREEMENT;

D O I：

10.1007/978-3-319-66429-3_12

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Estimation of the dialogue quality, especially the quality of interaction, is an essential part for improving the quality of spoken dialogue systems (SDSs) or call centres. The Interaction Quality (IQ) metric is one of such approaches. Originally, it was designed for SDSs to estimate an ongoing human-computer spoken interaction (HCSI). Due to a similarity between task-oriented human-human conversation (HHC) and HCSI, this approach was adapted to HHC. As for HCSI, for HHC the IQ model is based on features from three interaction parameter levels: an exchange, a window, and a dialogue level. We determine the significance of different levels for IQ modelling for HHC. Moreover, for the window level we try to find an optimal window size. Our study was aimed to simplify the IQ model for HHC, as well as to find differences and similarities between IQ models for HHC and HCSI.

引用

页码：130 / 140

页数：11

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