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Mathematical Problems in Engineering
Volume 2013, Article ID 132735, 10 pages
Research Article

Emotion Expression of Robot with Personality

Xue Hu,1,2 Lun Xie,1,2 Xin Liu,2,3 and Zhiliang Wang1,2

1School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
2Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China
3School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China

Received 19 April 2013; Accepted 8 July 2013

Academic Editor: Vishal Bhatnagar

Copyright © 2013 Xue Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A robot emotional expression model based on Hidden Markov Model (HMM) is built to enable robots which have different personalities to response in a more satisfactory emotional level. Gross emotion regulation theory and Five Factors Model (FFM) which are the theoretical basis are firstly described. And then the importance of the personality effect on the emotion expression process is proposed, and how to make the effect quantization is discussed. After that, the algorithm of HMM is used to describe the process of emotional state transition and expression, and the performance transferring probability affected by personality is calculated. At last, the algorithm model is simulated and applied in a robot platform. The results prove that the emotional expression model can acquire humanlike expressions and improve the human-computer interaction.