Development and validation of a theoretical model for cognitive skills acquisition

Abstract

As computer-based manufacturing systems become more complex, performance of the human in such systems becomes more critical due to the assignment of cognitive and decision making tasks to the shop floor. The objective of this research is to test the theoretical model of human skill requirements and acquisition associated with the operation of Advanced Manufacturing Technology (AMT) developed in a previous work. An operational model is developed from the theoretical model and tested. Specifically, it is proposed that mental workload capacity and ability level within an individual can be combined to determine an individual's “ability margin”. Twelve subjects performed figure comparison tasks in which perceptual speed and visualization ability requirements were manipulated. Results support the concept of an ability margin. The significance of this research lies in its contribution to developing a new and effective methodology for predicting, in a systematic and structured way, the available cognitive resources and abilities required to operate, maintain and manage AMT in the workplace. A key conclusion of this study is that abilities are independent of each other in terms of the resource allocation policy within each resource pool. Relevance to industry Since humans play a critical role in advanced manufacturing systems, the interactions between tasks and human skills acquisition must be thoroughly understood so that corporations can efficiently adapt to new technologies. One application is the proper selection and training of personnel capable of performing in these complex environments.