Accuracy.

The average accuracy for each condition superimposed with individual data points of each participant. Error bars represent 95% confidence interval corrected for a within subjects design [46]. A positive value of the measure of bias in accuracy indicates a leftward bias (i.e. increased accuracy in the left hemifield), and a negative value indicates a rightward bias (i.e. increased accuracy in the right hemifield).