Problem
Research questions and friction points this paper is trying to address.
multi-homing intention
AIGC platforms
cross-platform usage
personality traits
theoretical gap
From Trait to Behavior: A Cognitive-Affective Personality System (CAPS) Perspective on Multi-Homing Intention in AIGC Platforms
🤖 AI Summary
This study addresses the theoretical gap in understanding users’ multi-homing intentions on AIGC platforms. Drawing upon the personality–perception–behavioral response framework, it integrates optimal stimulation level theory, complementarity theory, and perceived value theory to develop and test a three-stage serial mediation model. Using structural equation modeling and mediation analysis, the research reveals—through the lens of the cognitive-affective personality system—that personality traits positively predict multi-homing intentions by enhancing optimal stimulation levels, which in turn strengthen perceived complementarity and cognitive value. Social influence also significantly promotes such intentions, whereas prior usage experience shows no significant effect. These findings offer a novel theoretical pathway and empirical evidence for understanding cross-platform behaviors among AIGC users.
📝 Abstract
With the rapid development of Artificial Intelligence Generated Content (AIGC) platforms, users increasingly show cross-platform usage intentions. Existing research focuses on adoption and usage intentions in single-platform AIGC contexts. A theoretical gap still exists in studies on cross-platform usage. This paper constructs and verifies a three-stage multiple mediation model based on the personality trait-perception-behavioral response framework. The model integrates the optimum stimulation level (OSL) theory, complementarity theory, and perceived value theory, and it sets social influence and use experience as control variables to examine users' multi-homing intention. The results show that: (a) OSL significantly enhances users' perceived complementarity; (b) perceived complementarity positively affects perceived epistemic value; (c) perceived epistemic value significantly and positively predicts multi-homing intention; (d) OSL influences multi-homing intention through a chain mediation path of perceived complementarity and perceived epistemic value; and (e) social influence has a significant positive effect on multi-homing intention, while the effect of use experience is not significant.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Cognitive-Affective Personality System (CAPS)
multi-homing intention
optimum stimulation level (OSL)
perceived complementarity
perceived epistemic value
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