Understanding and Quantifying Human Factors in Programming from Demonstration: A User Study Proposal

Abstract

Programming by demonstration (PbD) is a promising method for robots to learn from direct, non-expert human interaction. This approach enables the interactive transfer of human skills to the robot. As the non-expert user is at the center of PbD, the efficacy of the learned skill is largely dependent on the demonstrations provided. Although PbD methods have been extensively developed and validated in the field of robotics, there has been inadequate confirmation of their effectiveness from the perspective of human teachability. To address this gap, we propose to experimentally investigate the impact of communicating robot learning process on the efficacy of the transferred skills. This paper outlines the preliminary steps in designing experiments to identify human-related performance shaping factors in PbD. The purpose of this article is to establish the foundation for an experimental study that focuses on the human component in PbD algorithms and provides new insights into human factors in PbD design