中文摘要：

人机自然交互需要情感模型．在情绪状态自发转移马尔科夫模型中，针对参数的调整能否给个体情绪差异带来影响、带来影响有多大等有关个体情绪区分聚类的问题，提出基于度量多元尺度分析理论的个体人工情绪差异性研究方法．通过不相似度矩阵计算内积矩阵，再应用主成分因素分析法，便可得到个体属性重构矩阵，在低维上展现个体情绪差异．实验结果可用来指导模型参数的选取，并且，对此结果的一部分也进行数学验证．

英文摘要：

Harmonious human-robot interaction needs emotional model. In Markov model of emotional spontaneous transferring, aiming at the emotional distinguishing problem whether parameters adjusting have any effects on individual emotional difference and how much effect it brings in, researching method of individual artificial emotional difference is proposed based on metric multidimensional scaling. Scalar product matrix is calculated by dissimilarity matrix. Subsequently, individual attribute reconstructing matrix is got using principal components factor analysis to display individual emotional difference in low dimension space. Parameters in model are adjusted instructionally by means of experimental results. In addition, some of the results are carried out with mathematical verification.