Table 3. Fit measures for the data-driven and original mappings on the multitasking dataset.

	Data-driven mapping				Original Mapping
Module	TCC	Ind. TCC	R2	RMSD	TCC	Ind. TCC	R2	RMSD
Problem State	.60	.48 (.21; .00 –.72)	.08	.23	.50	.36 (.25; −.08–.67)	.01	.20
Declarative Memory	.68	.48 (.24; −.19–.80)	.26	.18	.63	.31 (.40; −.56–.78)	.21	.10
Right Manual	.96	.87 (.06; .74 –.95)	.88	.14	.96	.87 (.06; −.74–.96)	.86	.20
Left Manual	.80	.49 (.23; −.02–.83)	.49	.09	.73	.46 (.23; .01–.84)	.47	.11
Aural	.78	.52 (.23; .07–.90)	.63	.09	.62	.36 (.27; −.24–.72)	.43	.10
Visual	.64	.42 (.33; −.29–.82)	.08	.16	.54	.38 (.20; .05 –.65)	.03	.25

Note: TCC = Tucker’s Congruence Coefficient, Ind. TCC = mean individual TCC (standard deviation, range), RMSD = root-mean-square deviation.