Bayesian emotions: developing an interface for robot/human communication

Authors:
F. Aznar;M. Sempere;M. Pujol;R. Rizo
Affiliations:
Department of Computer Science and Artificial Intelligence, University of Alicante;Department of Computer Science and Artificial Intelligence, University of Alicante;Department of Computer Science and Artificial Intelligence, University of Alicante;Department of Computer Science and Artificial Intelligence, University of Alicante
Venue:
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
Year:
2005

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Abstract

This paper presents a fusion model of robotic behaviour based on emotional psychology. The main purpose of this model is to provide a human interface that represents the present state of the robot. This interface has two main advantages, firstly it can easily be understood by non-computer experts, and secondly its use is independent of language. The use of emotional modules means that the emotional state of the robot can be obtained directly and, therefore, it is relatively simple to obtain a virtual face that represents these emotions. In addition, the model proposed here, is defined as a complement to the present robotic models. Some experimental data, to verify the correctness of this approach, is provided.