Learning from the wizard: Programming social interaction through teleoperated demonstrations

Abstract

Copyright © 2016, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved. This paper considers the question of whether robots can be effectively programmed for autonomous social interaction through learning from demonstrations recorded via Wizard-of-Oz teleoperation. We present a novel LfW system for educational play between young children and a robot and results from a randomized experiment comparing a teleoperated robot and a robot with autonomous behavior derived by LfW. Across numerous metrics, the teleoperated robot and the autonomous robot programmed by LfW elicit similar behavior from their human interaction partners. Additionally, when children were asked whether the robot was human-controlled or autonomous, approximately half in each condition thought it was human-controlled.