As more and more systems used in our everyday life develop to be automated, humans assume less direct control of the system and its components. Therefore, humans usually act in a monitory behavior in many complex environments, and based on certain thresholds they establish action behaviors. A key issue in the context of supervisory control is human trust in automation, which has gained an increasing interest in recent research. Studies on trust from engineering and sociological perspectives have utilized questionnaires, in the form of rating scales of trust components. However, there exists limited research that explicitly relates changes in trust due to system variables, and hence we are not yet in a position to accurately predict human trust in automated systems. Therefore, the purpose of this research is to study the human’s perception to new developed measures that involve system variables in a hybrid inspection environment. This research describes two studies that aim at correlating human trust with system parameters within the context of printed circuit board inspection. Keywords
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