Adaptive Virtual Human Perception Modeling Driven on the Motivation and Emotions

In this paper, we propose an adaptive multiple-channel dynamic perception model for autonomous virtual humans in the 3D cartoon games. Our method is based on pleasure arousal dominance(PAD) dimension observation model, and chooses the Ortony, Clore, Colins model as emotion model. Our work studies the influence of emotion state on the motivation state of dynamic perception of virtual humans, and consider the influence of the physiological status(physical power). Our model drives the motivation of virtual human by execution evaluation action cycle, and implements the transformation of emotion in different demands of virtual human by finite-state machine. Finally, we implement a demo system based on the model on PC. The experimental results show that our model can maintain the high credibility, immersive and entertainment of game.