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Data Evaluation

Pipeline Describes

Preprocessing 01

Converts all the .fif files to .set files. This is done to do an automated ICA and filtering via Matlab/EEGlab

Preprocessing 02

Apply Notch 2,200 Hz filter and perform an ICA on the eeg data.

Preprocessing 03

Split the Data into a workable format for the rest of the pipeline. Therefore Data is splitted for each task into {Eyetracking, EEG, Behavioral}x{Code, Input, Output}x{CrossFixationBaseline}x{Answer}

Preprocessing 04

Calculate the skill score for each Participant. Using correct answers per minute.

Preprocessing 05

Calculate the fixation for each Participant using I2MC algorithm.

RQ1

Calculate the Metrics needed for RQ1.

RQ2

Calculate the Metrics needed for RQ2.