Perception of control in artificial and human systems: A study of embodied performance interactions

Abstract

Robots in human facing environments will move alongside human beings. This movement has both functional and expressive meaning and plays a crucial role in human perception of robots. Secondarily, how the robot is controlled – through methods like movement or programming and drivers like oneself or an algorithm – factors into human perceptions. This paper outlines the use of an embodied movement installation, “The Loop”, to understand perceptions generated between humans and various technological agents, including a NAO robot and a virtual avatar. Participants were questioned about their perceptions of control in the various agents. Initial results with human subjects demonstrate an increased likelihood to rate a robot and a robotic shadow as algorithmically controlled, versus a human performer and a human-shaped VR avatar which were more likely rated as human actor controlled or split between algorithm/human actor. Participants also showed a tendency to rate their own performance in the exercise as needing improvement. Qualitative data, collected in the form of text and drawings, was open-ended and abstract. Drawings of humans and geometric shapes frequently appeared, as did the words “mirror”, “movement”, and variations on the word “awareness”.