Abstract
When interacting with robots or synthetic characters, humans create expectations similar to those when interacting with other humans. A robot that can meet such expectations provides a more believable and enjoyable interaction. Gaze Behavior is a non verbal communicative way, having a preponderant role in human interactions. It is related with the eyes, the way we look and the surrounding area of the eyes, having several functions on the human-robot interaction (HRI). This thesis proposes a solution based on a Gaze Behavior model, to understand if we can increase the believability and likeability of the HRI. To measure enjoyability and familiarity of the HRI, we perform an experience with 5 colored lettered cubes, a robot and 12 participants. Each participant interact with the three models and in the end had to fill one questionnaire. After the 12 experiments, the results of the questionnaire were compiled and analyzed through a method called ?Wilcoxon? test. The main conclusions regarding the obtained results point to an easier comprehension/interaction with the robot when our model is used. Additionally, results point to a more enjoyable interaction when movement of the eyes is performed, whether our model is used or the ?Random Gaze? is used.