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Table 1 Summary of regression models at the image level

From: Toward viewing behavior for aerial scene categorization

Estimate

t value

Std. Error

p value

Coefficient information (Organized as shown to the left; Intercept omitted)

Image statistic

Eye movement

Fixation duration

Number of fixations

FDM entropy

Saccade amplitude

GTE (Scanpath randomness)

Low

Low S.F

  

10.20

2.02

5.06

*

    

0.18

2.36

0.08

*

High S.F

    

10.56

2.20

4.80

*

    

Block_1 PCA

6.4e−03

2.45

2.6e−03

*

− 3.3e−04

− 2.01

1.6e−04

*

− 3.3e−04

− 3.09

1.1e−04

**

− 1.9e−04

− 2.04

9.5e−05

*

  

Mid

Homogeneity

  

− 1.99

− 3.20

0.62

**

− 1.46

− 3.41

0.43

***

− 1.56

− 4.52

0.35

***

4.4e−02

4.66

9.5e−03

***

Block_5 PCA

  

− 8.3e−04

− 2.62

3.2e−04

**

− 7.2e−04

− 3.91

1.8e−04

***

− 1.0e−03

− 4.46

2.3e−04

***

1.5e−05

2.89

5.3e−06

**

High

Within Sim

    

− 0.73

− 1.80

0.41

 = 0.073

− 1.61

− 3.22

0.50

**

  

Across Sim

    

2.06

1.98

1.04

*

    

FC_2 PCA

  

4.9e−03

2.05

2.4e−03

*

5.1e−03

3.4

1.5e−03

***

6.0e−03

3.37

1.8e−03

***

− 1.3e−04

− 3.36

4.0e−05

***

Object

Critical object saliency

12.85

5.05

2.54

***

− 0.96

− 5.47

0.18

***

    

− 1.2e−02

− 4.42

2.7e−03

***

Adjusted R2

0.15 (***)

0.42 (***)

0.35 (***)

0.20 (***)

0.16 (***)

  1. ***p < 0.001, **p < 0.01, *p < 0.05