Table 3 Weight comparison.

From: Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model

Model

 

Pseudo-BMA without Bayesian bootstrap

Pseudo-BMA with Bayesian bootstrap

Bayesian stacking

 

Weight comparison among models with Private (Attitude toward non-conscious emotional data harvesting by the private sector) as outcome variable

Model 1_Private

TAM

0.000

0.000

0.000

Model 2_Private

Mindsponge

0.999

0.818

0.639

Model 3_Private

Mindsponge

0.001

0.156

0.330

Model 4_Private

Mindsponge

0.000

0.026

0.030

Model 5_Private

Mindsponge

0.000

0.000

0.000

 

Weight comparison among models with Public (Attitude toward non-conscious emotional data collection by the government) as outcome variable

Model 1_ Public

TAM

0.000

0.000

0.000

Model 2_ Public

Mindsponge

0.998

0.808

0.638

Model 3_ Public

Mindsponge

0.002

0.164

0.362

Model 4_ Public

Mindsponge

0.000

0.027

0.000

Model 5_Public

Mindsponge

0.000

0.000

0.000