The data is stored in .mat files, readable with Matlab (we used version '9.4.0.949201 (R2018a) Update 6') Psychometric data ----------------- Participants 2-3,5-8 10-11, 14, 16-17 were included in the analysis of Experiment 1 - see the paper for inclusion criteria. Participants 1-2, 4-5, 8, 11-13 were included in the analysis of Experiment 2. Experiment 1: stair._._._.mat files show the psychometric data for every subject tested (first blank), for all exposure conditions (second blank) and control or exposure conditions (third blank, 1 = control) Within each file, the "stair" structure is created by the UML Matlab toolbox (Shen et al., 2015). The upper visual field data can be obtained in MATLAB with: [s r] = stair(2).get_history(), where s is the velocity of the background (deg / sec) and r the response (in the pursuit direction = 1, opposite = 0) For the lower visual field: [s r] = stair(1).get_history() Experiment 2 data structure: There is one mat file per subject ([subject number]_data). Within each file the structure is as follows: Every line represents a trial. Every column (in this order): left/right response (right = 1), confidence ( high = 1), control or exposure (control = 1), pursuit direction (right = 1), background velocity (deg/sec), eccentricity of background motion (deg/sec, positive values indicate up) Eye movement data ----------------- EyeData_Exp1 and EyeData_Exp2 contains the eye movement traces in a .mat file. It contains a structure "Eye", with the following fields per subject: Eye(subject number). ref_n - number of exposure trials test_n - number of test trials test_hvel - horizontal velocity from background motion onset in test trials ( trial x sample ) test_bhvel - baseline velocity ( trial x sample ) test_vvel - vertical velocity ( trial x sample ) target_test_hvel - background velocity ( trial x sample ) err - invalid trail (0 = valid) ref_hvel - horizontal velocity from background motion onset in exposure trials ( trial x sample ) ref_vvel - vertical velocity from background motion onset in exposure trials ( trial x sample ) ref_bhvel - baseline velocity from background motion onset in exposure trials ( trial x sample ) References Shen, Y., Dai, W., & Richards, V. M. (2015). A MATLAB toolbox for the efficient estimation of the psychometric function using the updated maximum-likelihood adaptive procedure. Behavior Research Methods. https://doi.org/10.3758/s13428-014-0450-6