Since human trust in automation can directly impact inspection quality and overall inspection performance, it is critical to study the issue of trust in hybrid inspection systems. After developing a trust questionnaire for hybrid inspection systems, we conducted a preliminary study to measure human's trust in the hybrid inspection systems using the questionnaire developed. Two hybrid inspection systems were used in the study. Results showed that the trust questionnaire was sensitive to different systems. A stepwise regression procedure selected competency and reliability as the better predictors.
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