A Model for Predicting Human Trust in Automated Systems

As a result of recent advancements in computer technology, hybrid inspection systems, those in which humans and computers work cooperatively, have found increasing application in quality control processes. These systems are preferable because they take advantage of the superiority of humans in rational decision-making and adaptability to new circumstances. Although the classical performance issues of speed and accuracy have been studied in this regard, the subjective measure of trust in automation is gaining increasing importance. This area has a significant influence on the use of automation, especially in the context of function allocation, an important consideration in achieving quality inspection performance. Thus, in order to improve inspection performance, this research addresses the issue of trust within the context of a manufacturing inspection task. Specifically, this research develops a model of human trust for hybrid inspection systems using a quantitative approach that relates both, machine properties to an operator’s perceptions thereof.