Table 3 Results of the generalized linear mixed-effects model for accuracies of the object recognition task including estimated regression coefficients.

Intercept

0.43

0.10

4.21

\(<.001\)

1.02

0.12

8.75

\(<.001\)

Condition (Flashlight–Illuminated)

0.26

0.14

1.88

.061

–0.12

0.15

–0.81

.417

Object type (Distractor–Target)

–2.07

0.17

–12.14

\(<.001\)

–2.26

0.16

–14.25

\(<.001\)

Condition \(\times\) Object type

0.66

0.22

2.99

.003

0.81

0.24

3.36

\(<.001\)

Object

   Intercept

0.65

0.81

0.56

0.75

   Condition

0.45

0.67

0.25

0.50

   Object type

0.32

0.57

0.18

0.43

Participant

   Intercept

0.04

0.21

0.11

0.33

   Condition

0.06

0.25

0.15

0.38

   Object type

0.27

0.52

0.16

0.40

Pseudo-R \(^{2}\)(R \(^{2}_{\textrm{marginal}}\), R \(^{2}_{\textrm{conditional}}\))

.21, .39

.24, .40

Intercept

0.72

0.09

8.12

\(<.001\)

Condition (Flashlight–Illuminated)

0.08

0.09

0.89

.374

Object type (Distractor–Target)

–2.12

0.12

–17.58

\(<.001\)

Experiment (CS–VR)

0.61

0.11

5.59

\(<.001\)

Condition \(\times\) Object type

0.59

0.15

3.87

\(<.001\)

Condition \(\times\) Experiment

–0.33

0.17

–1.92

.055

Object type \(\times\) Experiment

–0.28

0.20

–1.39

.163

Condition \(\times\) Object type \(\times\) Experiment

0.23

0.29

0.80

.424

Object

   Intercept

0.55

0.74

   Condition

0.03

0.18

   Object type

0.37

0.61

Participant

   Intercept

0.07

0.27

   Condition

0.09

0.29

   Object type

0.21

0.46

Pseudo-R \(^{2}\)(R \(^{2}_{\textrm{marginal}}\), R \(^{2}_{\textrm{conditional}}\))

.24, .39