An experimentation on creating a mental state transition network

Abstract

Studies on the model of artificial psychology are the first step in the development of human-computer interaction. As affective computing remains unpredictable, creating a reasonable mental model becomes the primary task for building a hybrid system. A pragmatic mental model is also the fundament of some key topics such as recognition and synthesis of emotions. In this paper a mental state transition network is presented and a psychological experiment based on the model is carried out. In this work, we hypothesize that internal mental movements of a human depend on a mental state transition network that is made up of seven discrete emotional states. And we propose a new method to predict the emotional transitional probability distribution by using psychological questionnaires. The transition probability distribution of the model is calculated through a psychological experiment and the model provided a relatively high precision rate of 0.872 for the 50 random data examples used in an experimentation.