Empirical Data on Factors Influencing AI Painting

This study employed a questionnaire survey to examine the factors influencing the sharing intention of AI-generated landscape paintings. Data were collected via the Chinese online platform Credamo. After two rounds of pilot testing and item optimization, a formal survey comprising 34 core items was administered. A total of 513 valid responses were obtained after attention checks. The sample consisted of 52.22% female and 47.78% male participants, primarily aged 26–35 (44.83%). Most held a bachelor’s degree or higher (69.59%), and the majority reported a monthly income between 5,001 and 12,000 RMB (63.16%). The measurement model demonstrated good reliability and validity, with Cronbach’s α values ranging from 0.835 to 0.943 and all AVEs above 0.50. Structural equation modeling showed acceptable model fit (χ²/df = 2.159, CFI = 0.963, RMSEA = 0.048), supporting further hypothesis testing.