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Emotion and Speech Interaction of Service Robot Based on Artificial Psychology

Xueyuan Zhang, Zhiliang Wang, Yaofeng Liu, Masaya Nagai

Year
2006
Citations
2

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

RobotRealization (probability)MoodHuman–robot interactionHuman–computer interactionField (mathematics)Computer scienceRoboticsAffective computingArtificial intelligence

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