Towards learning through robotic interaction alone: the joint guided search task.

This work proposes a biologically inspired approach that focuses on attention systems that are able to inhibit or constrain what is relevant at any one moment. We propose a radically new approach to making progress in human-robot joint attention called joint guided search task. Visual guided search is the activity of the eye as it saccades from position to position recognizing objects in each fixation location until the target object is found. Our research focuses on the exchange of nonverbal behavior toward changing the fixation location while also performing object recognition. Our main goal is a very ambitious goal of sharing attention through probing synthetic foreground maps (i.e. what is being considered by the robotic agent) and the biological attention system of the human.