DocumentCode :
2593526
Title :
A tension-moderating mechanism for promoting speech-based human-robot interaction
Author :
Kanda, Takayuki ; Iwase, Kayoko ; Shiomi, Masahiro ; Ishiguro, Hiroshi
Author_Institution :
Dept. of Commun. Robots, ATR Intelligent Robotics & Commun. Labs., Kyoto, Japan
fYear :
2005
fDate :
2-6 Aug. 2005
Firstpage :
511
Lastpage :
516
Abstract :
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.
Keywords :
emotion recognition; humanoid robots; man-machine systems; speech recognition; emotion recognition; self-reported emotion; speech-based human-robot interaction; tension emotion detection; tension emotion moderation; tension-moderating mechanism; Cities and towns; Computer interfaces; Emotion recognition; Human robot interaction; Humanoid robots; Intelligent robots; Laboratories; Microphone arrays; Robot sensing systems; Speech recognition; emotion recognition; human-robot interaction; speech-based interaction; tension emotion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on
Print_ISBN :
0-7803-8912-3
Type :
conf
DOI :
10.1109/IROS.2005.1545035
Filename :
1545035
Link To Document :
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