Neurophysiological Heat Maps for Human-Robot Interaction Evaluation

Human-Robot Interaction (HRI) effectiveness is often evaluated subjectively to gauge the user experience. These methods may result in responses that are inaccurate or inconsistent due to participants' false responses or inability to communicate their affective or cognitive states. In this paper, we discuss an approach featuring heat maps that link users' cognitive state to a robot's location. Users' cognitive state was interpreted from electroencephalography (EEG) signals while completing a robot navigation task. We tested this method during an experiment featuring solo and cooperative control. Our goal is to present a step towards visualizing position-based measurements of users' cognitive state.