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We present a model for automatic generation of expressive gaze in virtual agents. Our main focus is the eye behavior associated to expressiveness. Our approach is to collect data from animated Computer Graphics films, and codify such observations into an animation framework. The main contribution is the modeling aspects of an animation system, calibrated with empirical observations in order to generate realistic eyes motion. Results show that this approach generates convincing animations that improve the empathy of virtual agents. [ABSTRACT FROM AUTHOR]