This function transforms raw eye-tracking data into fixations and saccades using a non-parametric speed-based approach to do this on a trial basis. The method is especially useful when there are large differences in data quality between or within participants. Lower data quality results in more conservative thresholds, thereby controlling for noise levels.
Eye-tracking data must be transformed into fixations and saccades before it can be analyzed. This package provides a non-parametric speed-based approach to do this on a trial basis. The method is especially useful when there are large differences in data quality, as the thresholds are adjusted accordingly. The same pre-processing procedure can be applied to all participants, while accounting for individual differences in data quality.
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