Table 3.

Regression Analysis of the Interaction between Message Condition and AI Identity in Explaining Message Identification, Convincingness and Pleasantness

	Message identification> (N = 284)			Perceived convincingness (N = 255)			Perceived pleasantness(N = 264)
	Step 1	Step 2		Step 1	Step 2		Step 1	Step 2
Constant	4.36***	4.35***		4.34***	4.33***		4.55***	4.55***
AI identity	.22*	−.15		−.03	−.31*		.01	−.15
Message condition dummy 1	1.28***	1.27***		1.20***	1.18***		1.09***	1.07***
Message condition dummy 2	1.21***	1.23***		1.25***	1.26***		1.09***	1.10***
Message dummy 1 X AI identity		.68*			.55*			.28
Message dummy 2 X AI identity		.53*			.41*			.26
ΔF	11.78***	3.88*		13.81***	3.08*		10.18***	.89
ΔR2	.123	.024		.141	.021		.105	.001

Note. For message condition dummy 1, the weak cultural cues condition was coded 0, the moderate cues condition was coded 1, and the strong cues condition was coded 0. For message condition dummy 2, the weak cultural cues condition was coded 0, the moderate cues condition was coded 0, and the strong cues condition was coded 1. Coefficients are unstandardized regression coefficients.

^***p < .001;

^*p < .05.