In sound localization experiments, currently used metrics for front-back confusion (FBC) analysis weight the occurring
FBCs equally, regardless of their deviation from the cone of confusion. To overcome this limitation, we introduce the FBC Score.
% This function calculates the FBC-Score:
% The FBC-Score introduces a weighting between actual FBCs and
% normal localization errors. It allows to specify the influence of FBCs
% on a localization result in the azimuthal plane more precisely
% than with the FBC rate.
Fischer, Tim, et al. A Front-Back Confusion Metric in Horizontal Sound Localization: The FBC Score. Cold Spring Harbor Laboratory, Feb. 2020, doi:10.1101/2020.02.12.945303.