Improve Supervisory System
Wang, Chau-Hung* Lin, Tsai-Duan**
* Department of Business Administration, Soochow University
** Hwa Hsia College of Technology and Commerce,Taipei, Taiwan
Generally, the output information from monitors and the operating processes are two important factors for supervisors to well do their works in an automatic system. However, even through supervisors really know the operating processes, there are a lot of uncertain things, such as nervous anxiety or machine breakdown, to interrupt supervisors to do the right works. Thus, supervisors must carefully pay attention to watch monitors, and then take some suitable operations to control supervisory processes to ensure system can run well.
We can find from many studies that cooperation of human and computer is a suitable way for supervisory tasks. For example, using interactive scheduling methodology is better in the performance than using analytic approaches or using priority rules for dispatching jobs in real-time schedule works. [ 5, 6] However, human and computer have their individual characteristics. The problem is how to allocate tasks to human and computer to produce more interactive effectiveness.
In this paper, we will initially discuss the matters from human cognitive limits, the concepts of task allocation between human and computer, and the human- computer complementary concept. After this, a human-computer complementary model will be developed to decrease supervisor's cognitive limits and to improve interactive effectiveness. Then, the complementary model was used to improve graphic interface in Environment Control System (ECS) of Taipei Rapid Transit System. Finally, an experiment was taken to evaluate the effectiveness of the new interface.
Man-machine system is an operational system in which the roles of human and machine are assigned to achieve a particular goal. The assignment job, also