  Meeting eye contact is the essential prerequisite skill of a human to
initiate any conversation with others. However, it is not an easy task for a
robot to meet eye contact with a human if they are not facing each other
initially or the human is intensely engaged his or her task. If the robot would
like to start communication with a particular person, it should turn its gaze
to that person first. However, only such a turning action alone is not always
enough to set up eye contact. Sometimes, the robot should perform some strong
actions so that it can capture the human's attention toward it. In this paper,
we proposed a computational model for robots that can proactively capture human
attention and makes eye contact with him or her. Evaluation experiments by
using a robotic head reveal the effectiveness of the proposed model in
different viewing situations.
