Measurement of Human Trust in a Hybrid Inspection for Varying Error Patterns

Abstract

The emphasis of this research was on the effect of human trust in a hybrid inspection system with varying error patterns. Experiments were conducted using a hybrid inspection task involving four common types of error patterns, and subjects were requested to rate their trust in the system at different stages. Results showed that subjects' ratings of trust were based on how they perceived the behavior of the computer. However, this rating was not sensitive to the type of error pattern. A significant change in trust was found in all the systems considered for the study. In addition, the results reflect that there was a significant decrease in trust when subjects inspected the assigned experimental system after inspecting the perfect one. Finally, the components of trust that fit into the trust model at each stage of a particular system were determined using the stepwise regression model.

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