Hybrid intelligence processes and narratives in robotic manufacturing

The collaboration aims to create a Hybrid Intelligence-designed Human-Robot Interaction (HRI) interface. This interface will be presented to the student class at Master level of Prof. Beliatis and will be accompanied by technology acceptance surveys developed by Prof. Sherson. Prof. Beliatis' expertise in robotics and automation technology in industrial manufacturing settings will be leveraged to create realistic scenarios for testing. Prof. Sherson's Hybrid Intelligence Technology Acceptance Model (HI-TAM) will be used to measure factors like willingness to train and co-develop systems. The output will include a hybrid intelligence narrative of continual human-machine learning and adaptation designed to create psychological safety and alleviate fears of job replacement among production line workers in the digitalization era.