The model about the affection regulation based on partial least regression in the Human-computer interaction

Abstract

In the affection regulation process, quantitative regulation model between effectives and affection regulation ways cannot be established, thus the unit's effective problems cannot be regulated instantly, effectively and intelligently by computers. So an affection regulation strategic model based on partial least squares method was proposed. The model used GSR to recognize effectives, and the recognized effectives are mapped to the PAD effective space vector model to realize the quantization of effectives. Through Namely reappraisal and Suppression ways, the affection regulation strategy was achieved, which set up the theoretical principles for affection regulation system in man-computer interactive environment. And the strategy got the purpose of affective computing which can establish harmonious man-machine environment and endow computer with much higher and more comprehensive intelligence.