A Robotic Framework for Making Eye Contact with Humans
This work addresses the challenge for robots to initiate communication with humans in social robotics, though it appears incremental as it builds on existing attention-capturing methods.
The paper tackles the problem of enabling robots to proactively capture human attention and establish eye contact, especially when not initially facing each other or when the human is engaged in a task, and reports that evaluation experiments with a robotic head demonstrate the model's effectiveness in various viewing situations.
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.