A multi-modal approach to selective interaction in assistive domains

Abstract

Human-robot interaction (HRI) is an important area of robotics research; it is related to human-computer interaction (HCI), but contains a key difference: HRI allows embodied systems to utilize physical context and mobility. Most current HRI systems, however, do not yet utilize mobility for interactive purposes. In this paper, we describe the design and evaluation of a robot system aimed at embodied HRI communication. In it, the robot selects a target for interaction based on the perceived desire of human subjects to interact with it. We use an interaction policy inspired by joint intention theory to shape the interaction between the users and the robot. One of the intended purposes of the system is for use in crowded classrooms for selecting students most desirous of interaction and help.