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
收藏
页码：527 / 532
页数：6
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