Emotion and Speech Interaction of Service Robot Based on Artificial Psychology

Author

Zhang, Xueyuan ; Wang, Zhiliang ; Liu, Yaofeng ; Nagai, Masatake

Author_Institution

Sch. of Inf. Eng., UST, Beijing

Volume

2

fYear

0

fDate

0-0 0

Firstpage

9174

Lastpage

9177

Abstract

Affective and natural human-robot interaction is a challenging lesson in the field of robotics. Some typical affective models are briefly summarized. According to the theory of need levels of Maslom, this paper develops emotional interaction system for robot, discusses basic needs of robot and their influence upon emotion and proposes an affective model combined with the theory of mood information of Siminov. In addition, this paper describes the realization of speech interaction system of robot in detail. The results of experiment indicate that robot can interact with human in an affective and nature way

Keywords

emotion recognition; man-machine systems; psychology; service robots; speech-based user interfaces; artificial psychology; emotional interaction system; human-robot interaction; mood information theory; need levels theory; service robot; speech interaction; Automation; Hidden Markov models; Human robot interaction; Intelligent control; Mood; Psychology; Service robots; Speech; Tellurium; Affective Model; Artificial Psychology; Multi-information fusion; Service Robot; Speech Interaction;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713775

Filename

1713775