Modeling fault diagnosis in a dynamic process control task using a multivariate lens model

In this research, we modeled fault identification performance in a dynamic process control task using a multivariate Lens Model. This research demonstrates how multivariate Lens Model can be applied to capture dynamic aspects and policies of individuals when they are making judgments over multiple criteria - in this case, multiple categories of faults. Results and modeling analysis to date indicate that such a model may be applicable to such decisions, and sensitive to differences in performance under certain conditions.