From: Machine learning for distinguishing saudi children with and without autism via eye-tracking data
Variables | ASD | Controls | |
---|---|---|---|
Prediction 1: Attention to the Eyes | |||
Dwell on eyes - Human | 1424.93 ± 950.28 | 1578.64 ± 780.05 | (t = 0.88(87.48), p = 0.38, d = -0.17) |
Dwell on eyes - Animal | 1210.68 ± 719.74 | 1456.34 ± 673 | (t = 1.72(79.48), p = 0.09, d = -0.35) |
Prediction 2: Left Visual Field Bias | |||
Left Face - humans | 822.32 ± 416.11 | 980.26 ± 244 | (t = 2.44(101.58), p = 0.02, d = -0.44) |
Left Face - animals | 1269.87 ± 830.61 | 1843.9 ± 722.72 | (t = 3.66(83.65), p = 0.0004, d = -0.73) |
Right Face - humans | 780.76 ± 368.99 | 773.53 ± 254.29 | (t = 0.12(96.92), p = 0.91, d = 0.022) |
Right Face - animals | 1256.62 ± 743.71 | 1458.08 ± 638 | (t = 1.43(85.05), p = 0.16, d = 0.29) |
Prediction 3 : Joint Attention | |||
Dwell - Congruent | 975.77 ± 447.94 | 1421.17 ± 567.3 | (t = 4.08(62.65), p = 0.0001, d = -0.91) |
TTFF-Congruent | 1097.49 ± 567.49 | 839.33 ± 424.72 | (t = 2.57(91.97), p = 0.01, d = 0.5) |
Dwell - Incongruent | 769.83 ± 447.89 | 898.1 ± 323.58 | (t = 1.63(91.02), p = 0.11, d = -0.32) |
TTFF-Incongruent | 1133.45 ± 577.64 | 1164.32 ± 485.03 | (t = 0.28(83.85), p = 0.78, d = 0.057) |