Complex Emotional Regulation Process in Active Field State Space

Abstract

Based on the emotional model described by 3-dimensional state space, a complex emotional regulation model is proposed and applied to real-time dynamic emotional regulation process. Emotional stimulus (single basic emotional state stimulus or complex emotional state stimulus) is converted into a field source in the space by the vector calculation. So the potential scalar function of each point can be calculated and normalized to a transferring probability matrix of basic emotional states. Finally, the complex emotional state is produced by hidden Markov stimulus transferring model and an auxiliary matrix. The result shows that a complex emotional regulation model in active field gets rid of the simple emotional control mode and generates a kind of complex emotion. It is more in line with the demand of emotional regulation in a complex interactive environment.