The widespread integration of artificial intelligence (AI) technologies has fundamentally transformed traditional content production

media conversion

and distribution models in the publishing industry

making cross-media publishing a core trend shaping the digital publishing sector. Diverging from industry research that primarily adopts a technical perspective

this paper focuses on the core dimension of user perception—examining the experiences

cognitive processes

and expectations of general readers within the context of AI-driven cross-media publishing and dissemination. It provides an overview of practical applications in this field

establishes fundamental communication principles aligned with user experience

and analyzes real-world challenges encountered in current dissemination processes—such as experience imbalance

cognitive bias

lack of trust

and inadequate adaptation at the user perception level. Finally

the paper proposes practical

actionable optimization strategies across four key dimensions—user experience optimization

content quality control

refinement of algorithmic mechanisms

and the development of industry standards—thereby offering a practical reference for leveraging AI to enable high-quality

human-centered

and sustainable cross-media dissemination within the publishing industry.