Skip to main content

Table 1 Descriptive statistics of all the variables measured. TTF: Time to First Fixation (in ms)

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)