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