A Comparison Study of Inspector's Performance between Regular and Complex Tasks
This research was to study a comparison of inspector’s performance between regular and complex visual inspection task. Visual task was simulated on DVD read control circuit. Inspection task was performed by using computer. Subjects were 10 undergraduate randomly selected and test for 20/20. Then, subjects were divided into two groups, five for regular inspection (control group) and five for complex inspection (treatment group) tasks. Result was showed that performance on regular and complex inspectors was significantly difference at the level of 0.05. Inspector performance on regular inspection was showed high percentage on defects detected by using equal time to complex inspection. This would be indicated that inspector performance was affected by visual inspection task. Keywords—Visual inspection task, Regular and complex task.
Measurement of Human Trust in a Hybrid Inspection for Varying Error Patterns
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.
Trust in automation. I: Theoretical issues in the study of trust and human intervention in automated systems
Abstract Today many systems are highly automated. The human operator's role in these systems is to supervise the automation and intervene to take manual control when necessary. The operator's choice of automatic or manual control has important consequences for system performance, and therefore it is important to understand and optimize this decision process. One important determinant of operators' choice of manual or automatic control may be their degree of trust in the automation. However, there have been no experimental tests of this hypothesis until recently, nor is there a model of human trust in machines to form a theoretical foundation for empirical studies. In this paper a model of human trust in machines is developed, taking models of trust between people as a starting point, and extending them to the human-machine relationship. The resulting model defines human trust in machines and specifies how trust changes with experience on a system, providing a framework for experimental research on trust a...