Eye gaze behavior of virtual agent in gaming environment by using artificial intelligence

In the gaming environment, building natural looking avatar is a challenging task. An avatar represents a human character which includes speech, action, and eye movement in a virtual world. The movement and the expression of eye modeling is cognitive function. In order to assess virtual agent's eye gaze behavior on the basis of cognitive and emotional characteristics, this paper presents an experimental simulation to identify perfection of the eye gaze behavior. For this reason, this paper splits eye behavior into few levels by using CADIA Populus. But the goal of this research work is to focus on gaze behavior. In addition, it briefly describes the cognitive activities based on different cases. Furthermore this paper introduces an integrated framework for modeling the interaction of agent with the immersive environment. Finally, the gaze strategy and some simulation results from previous studies have been discussed to provide a concrete idea about gaze behavioral science in gaming environment using artificial intelligence.