A computational model to determine desirability of events based on personality for performance motivational orientation learners

Abstract

One of the most important discussions in artificial intelligence is the modeling of human behaviors in virtual environments. The factors such as personality, emotion, and mood are important to model human behaviors. In this paper, we propose a computational model to calculate a user’s desirability as one of the most important factors which in determining the user’s emotions. The main purpose of this research is to find a relationship between personality and emotion in virtual learning environments. The model has been evaluated in a simulated virtual learning environment and the results show that the proposed model formulates the relationship between personality and emotions with high precision.