A novel evaluation of two related and two independent algorithms for eye movement classification during reading

Behavior Research Methods
Lee FriedmanOleg V Komogortsev

Abstract

Nystrӧm and Holmqvist have published a method for the classification of eye movements during reading (ONH) (Nyström & Holmqvist, 2010). When we applied this algorithm to our data, the results were not satisfactory, so we modified the algorithm (now the MNH) to better classify our data. The changes included: (1) reducing the amount of signal filtering, (2) excluding a new type of noise, (3) removing several adaptive thresholds and replacing them with fixed thresholds, (4) changing the way that the start and end of each saccade was determined, (5) employing a new algorithm for detecting PSOs, and (6) allowing a fixation period to either begin or end with noise. A new method for the evaluation of classification algorithms is presented. It was designed to provide comprehensive feedback to an algorithm developer, in a time-efficient manner, about the types and numbers of classification errors that an algorithm produces. This evaluation was conducted by three expert raters independently, across 20 randomly chosen recordings, each classified by both algorithms. The MNH made many fewer errors in determining when saccades start and end, and it also detected some fixations and saccades that the ONH did not. The MNH fails to detect very s...Continue Reading

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Citations

Oct 20, 2018·Behavior Research Methods·Raimondas ZemblysKenneth Holmqvist
Sep 27, 2018·Behavior Research Methods·Raimondas ZemblysKenneth Holmqvist
Jul 28, 2020·Behavior Research Methods·Asim H DarMichael Hanke
Jul 25, 2020·Behavior Research Methods·Raimondas ZemblysKenneth Holmqvist
Jul 18, 2021·Scientific Data·Henry GriffithOleg Komogortsev
Apr 11, 2020·Vision Research·Krishnamachari S Prahalad, Daniel R Coates
Dec 8, 2021·Nature Human Behaviour·Benjamin GaglChristian J Fiebach

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