An Effective Model for Human Cognitive Performance within a Human-Robot Collaboration Framework

With advances in technologies, robots can be employed in collaboration with human for completing the shared objective(s). This paper proposes a novel time-variant human cognitive performance modeling approach for human-robot collaborative actions. The proposed model considers human cognitive performance as a function of human cognitive workload, robot performance, and human physical performance. Novel about the proposed model is its ability to relate human cognitive workload and the task complexity to a utilization factor which is functionally correlated with the robot's mistake probability. The developed model is validated via a simulation environment and confirms that if the task complexity or the robot's mistake probability increases, human cognitive performance reduces over time.