Cognitive-affective regulation process for micro-expressions in active field state space

Abstract

In the active field state space, this paper discusses the transferring process of emotional states driven by the psychological energy. First, the cognitive reasoning process and the recognition method for micro-expressions is the basis of cognitive-affective regulation process. Second, the attenuation function and threshold function are proposed to quantify the personality. The robot emotional states and external stimulus are quantified as the transferring probability in the active field by the attraction. Finally, the relationship coefficient is introduced to the Gross model for cognitive reappraisal. The experiment results shows that this model can effectively regulate the emotional states in the human-robot interaction, and can obviously improve the robot's humanoid, intelligent degree, and interactive effect. This model is in line with the psychological significance in the experiment and simulation, and enables the robot to get rid of the mechanical emotional transferring process.