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New CAPS Framework Explains Multi-Platform AIGC Use

This paper introduces a new theoretical framework, the Cognitive-Affective Personality System (CAPS) perspective, to understand why users engage with multiple AI-generated content (AIGC) platforms. The research proposes a three-stage model integrating Optimum Stimulation Level (OSL) theory, complementarity theory, and perceived value theory. Findings indicate that OSL positively influences perceived complementarity, which in turn enhances epistemic value, ultimately predicting multi-homing intention. Social influence also plays a significant role in users' decisions to use multiple platforms. AI

IMPACT Provides a theoretical lens for understanding user behavior across multiple AI-generated content platforms.

RANK_REASON Academic paper presenting a new theoretical framework and empirical model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New CAPS Framework Explains Multi-Platform AIGC Use

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Xuchao Zhang, Jihye Lee ·

    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 …