Table 1. Summary output of the final LMM model.

Predictors	Estimates	CI	p
(Intercept)	-2.329	-2.420 – -2.237	<0.001
Trial	-0.103	-0.107 – -0.099	<0.001
Preceding RT	0.086	0.082 – 0.090	<0.001
PRS	-0.05	-0.054 – -0.045	<0.001
PR	-0.102	-0.118 – -0.085	<0.001
PL	-0.138	-0.183 – -0.094	<0.001
hPOS	-0.013	-0.017 – -0.008	<0.001
vPOS	0.021	0.016 – 0.026	<0.001
hDIR	-0.006	-0.011 – -0.002	0.008
vDIR	-0.074	-0.079 – -0.069	<0.001
CON	0.225	0.211 – 0.240	<0.001
LWPC	0.058	0.044 – 0.072	<0.001
Emotion	<0.001	-0.010 – 0.009	0.988
ISPC	-0.01	-0.018 – -0.002	0.015
Congruency ⨉ LWPC	0.054	0.041 – 0.067	<0.001
Congruency ⨉ Emotion	-0.003	-0.007 – 0.001	0.138
LWPC ⨉ EMOTION	0.013	0.007 – 0.019	<0.001
Congruency ⨉ ISPC	-0.005	-0.019 – 0.009	0.5
Emotion ⨉ ISPC	-0.007	-0.012 – -0.002	0.004
(Congruency ⨉ LWPC) ⨉ Emotion	-0.008	-0.014 – -0.002	0.014
(Congruency ⨉ Emotion) ⨉ ISPC	0.001	-0.004 – 0.006	0.74
Marginal R2 / Conditional R2	0.289 / 0.673