Comparing FSV and human responses to data comparisons

Abstract

The feature selective validation (FSV) method was developed with the specific goal to mirror the approach taken by engineers when assessing data presented visually during the validation of computational electromagnetics. The FSV (feature selective validation) technique has been demonstrated to have good agreement with the human survey results for a number of different data sets. Survey results for data sets in good agreement show a very small standard deviation, however, data sets with fair agreement have a significantly higher standard deviation.