From Trait to Behavior: A Cognitive-Affective Personality System (CAPS) Perspective on Multi-Homing Intention in AIGC Platforms
arXiv:2606.29726v1 Announce Type: cross 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 per
The rapid development and proliferation of AIGC platforms are leading users to engage with multiple services, creating new behavioral patterns that require dedicated research.
Understanding multi-homing intentions in AIGC platforms is crucial for platform developers, marketers, and policymakers to design effective engagement strategies and anticipate market dynamics.
This research provides a theoretical framework to analyze user behavior across multiple AIGC platforms, shifting the focus from single-platform adoption to cross-platform engagement.
- · AIGC platform developers
- · UX researchers
- · Digital marketing strategists
- · Single-platform AIGC solutions
- · Traditional behavioral economics models
AIGC platforms will likely adapt their features to explicitly facilitate or manage multi-homing user behaviors.
Increased competition among AIGC platforms due to users readily switching or using multiple services could lead to further innovation or consolidation.
The development of standardized identity or content portability protocols might emerge to cater to multi-homing userbases more effectively.
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Read at arXiv cs.AI