A tension-moderating mechanism for promoting speech-based human-robot interaction

被引：4

作者：

Kanda, T ^{[1
]}

Iwase, K ^{[1
]}

Shiomi, M ^{[1
]}

Ishiguro, H ^{[1
]}

机构：

[1] ATR Intelligent Robot & Commun Labs, Dept Commun Robots, Kyoto, Japan

来源：

2005 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4 | 2005年

关键词：

human-robot interaction; emotion recognition; tension emotion; speech-based interaction;

D O I：

10.1109/IROS.2005.1545035

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a method for promoting human-robot interaction based on emotion recognition with particular focus on tension emotion. There are two types of emotions expressed in a short time. One is autonomic emotion caused by a stimulus, such as joy and fear. The other is self-reported emotion, such as tension, that is relatively independent of a single stimulus. In our preliminary experiment, we observed that tension emotion (self-reported emotion) obstructs the expression of autonomic emotion, which has demerits on speech recognition and interaction. Our method is based on detection and moderation of tension emotion. If a robot detects tension emotion, it tries to ease it so that a person will interact with it more comfortably and express autonomic emotions. It also retrieves nuances from expressed emotions for supplementing insufficient speech recognition, which will also promote interaction.

引用

页码：527 / 532

页数：6

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