Tham khảo tài liệu 'frontiers in adaptive control part 8', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 166 Frontiers in Adaptive Control Parasuraman et al. 2000 . If the human is getting overloaded the control mechanisms should adjust the parameters that regulate the balance of work between human and machine and work should be reallocated to the machine in order to lower the cognitive burden of the human and optimize the performance of the human machine ensemble. Of course we must be able to automate some or all of the loop so that work can indeed be delegated to the machine. And humans must be willing to delegate the responsibility as well. The process of reallocation of the workload between man and machine is referred to as adaptive automation. Adaptive automation is based on the idea of supporting the human only at those moments when its performance is in jeopardy. W. B. Rouse 1988 introduced adaptive aiding as an initial type of adaptive automation. Rouse stated that adaptive aiding is a human-machine system-design concept that involves using aiding automation only at those points in time when human performance needs support to meet operational requirements Rouse 1988 p. 431 . Whether one uses the terms adaptive automation dynamic task allocation dynamic function allocation or adaptive aiding they all reflect the dynamic reallocation of work in order to improve human performance or to prevent performance degradation. As a matter of fact adaptive automation should scale itself down when things become quieter again and the goal of adaptive automation could be stated as trying to keep the human occupied within a band of proper workload see Endsley Kiris 1995 . Periods of underload can have equally disastrous consequences as periods of overload due to slipping of attention and loss of situational awareness. A number of studies have shown that the application of adaptive automation enhances performance reduces workload improves situational awareness and maintains skills that are deteriorating as a consequence of too highly automated systems Bailey et al. 2006 Hilburn
