Exploring Immersive Learning Environments in Human-Robot Interaction Use Cases

This paper describes a focus group study that explores immersive learning in the field of Human-Robot Interaction (HRI). We examine four categories of HRI cases: robot-led, human-led, autonomous, and collaborative. For each case, we evaluate the potential risks and human learning outcomes. Our findings include interaction styles that can be applied in HRI as well as the directionality and (multi)modality of these interaction styles. We identified several areas of risk, including miscommunication, privacy concerns, and injuries. Lastly, we explored common human learning outcomes based on the interaction categories. Our findings fill a gap in the literature by providing an analysis of immersive learning outcomes and risks in the field of HRI. Our results contribute towards the establishment of a framework that can improve the development of immersive learning environments.