Abstract
A dominant component of quality control, visual inspection can be broken down into two elements: visual search and decision-making. This study focuses on the search process. The search process has been mathematically described as random, systematic, or somewhere in between. Mathematical models and empirical studies have shown that the best performance in detecting defects during visual inspection results from the use of a systematic search strategy. For this study, a job aid that could potentially be used as an off-line training tool was developed to promote systematic visual search strategy. The job aid, a moving cursor on the viewing screen, was used to determine an optimal search speed or a range of optimal speeds for which the highest inspection accuracy could be achieved.
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