Individual difference of artificial emotion applied to a service robot  

作　　者：Wei WANG Zhiliang WANG Siyi ZHENG Xuejing GU 

机构地区：[1]Department of Electronic Information Engineering, School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, China

出　　处：《Frontiers of Computer Science》2011年第2期216-226,共11页中国计算机科学前沿（英文版）

基　　金：Acknowledgements This work was supported by the National High Technology Research and Development Program of China （2007AA04Z218）, the National Natural Science Foundation of China （Grant No. 60903067）, and the Beijing Key Discipline Development Program （XK100080537）.

摘　　要：In order to enable personalized natural interaction in service robots, artificial emotion is needed which helps robots to appear as individuals. In the emotion modeling theory of emotional Markov chain model （eMCM） for spontaneous transfer and emotional hidden Markov model （eHMM） for stimulated transfer, there are three problems： 1） Emotion distinguishing problem： whether adjusting parameters of the model have any effects on individual emotions; 2） How much effect the change makes; 3） The problem of different initial emotional states leading to different resultant emotions from a given stimuli. To solve these problems, a research method of individual emotional difference is proposed based on metric multidimensional scaling theory. Using a dissimilarity matrix, a scalar product matrix is calculated. Subsequently, an individual attribute reconstructing matrix can be obtained by principal component factor analysis. This can display individual emotion difference with low dimension. In addition, some mathematical proofs are carried out to explain experimental results. Synthesizing the results and proofs, corresponding conclusions are obtained. This new method provides guidance for the adjustment of parameters of emotion models in artificial emotion theory.In order to enable personalized natural interaction in service robots, artificial emotion is needed which helps robots to appear as individuals. In the emotion modeling theory of emotional Markov chain model （eMCM） for spontaneous transfer and emotional hidden Markov model （eHMM） for stimulated transfer, there are three problems： 1） Emotion distinguishing problem： whether adjusting parameters of the model have any effects on individual emotions; 2） How much effect the change makes; 3） The problem of different initial emotional states leading to different resultant emotions from a given stimuli. To solve these problems, a research method of individual emotional difference is proposed based on metric multidimensional scaling theory. Using a dissimilarity matrix, a scalar product matrix is calculated. Subsequently, an individual attribute reconstructing matrix can be obtained by principal component factor analysis. This can display individual emotion difference with low dimension. In addition, some mathematical proofs are carried out to explain experimental results. Synthesizing the results and proofs, corresponding conclusions are obtained. This new method provides guidance for the adjustment of parameters of emotion models in artificial emotion theory.

关 键 词：artificial emotion home service robot （HSR） human-robot interaction （HRI） individual emotion difference metric multidimensional scaling 

分 类 号：TP242.3[自动化与计算机技术—检测技术与自动化装置] TP18[自动化与计算机技术—控制科学与工程]