A Simple and Scalable Approach for Human- System Interaction

While there is much research concerning oneto-one human and physical system interaction, there is little on the larger scale of many-to-many. We propose an interaction infrastructure for many human operators to utilize a large number of robots and systems. The primar y criterion for scalable interaction is to reduce the communication required for interaction while providing a simple but functional interface. To achieve this, we as sume that each system and robot has some degree of autonomy allowing the humans to have a supervisory role in the interaction. Our approach is analyzed in detail on a largescale experiment involving several systems offering many tasks and services to many users. The scalability criter ia are analyzed in the context of this experiment and demonstrate the infrastructure to be a valid interaction mechanism for many systems and many users.