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Measurement of Trust in Hybrid Inspection Systems: Review and Evaluation of Current Methodologies and Future Approach

By Mohammad T. Khasawneh, Shannon R. Bowling, Sittichai Kaewkuekool, Anand K. Gramopadhye and Brian J. Melloy


Recent advances in computer technology have motivated the automation of various functions of the inspection task, an important process in quality control. However, since purely automated inspection has limitations, hybrid systems, ones taking advantage of the superiority of humans in pattern recognition, rational decision-making, and adaptability to new circumstances, are preferable. To achieve best performance and quality inspection in such hybrid systems, functions need to be properly allocated between humans and machines. Although the classical performance issues of speed and accuracy have been considered in this regard, the subjective measure of human trust in automation has gained increasing importance. This area has a great influence on the use of automation, especially in the context of function allocation. As a result, this study will explore the issue of trust in order to establish a clear understanding of the term from both engineering and sociological perspectives. In addition, it will review and evaluate current methodologies and future approaches related to the measurement of trust in hybrid inspection systems

Year: 2007
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