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Data · dataset · 2025

Empirical Data on Factors Influencing AI Painting

Listed in Teesside University Research Data Repository

This study employed a questionnaire survey to examine the factors influencing the sharing intention of AI-generated landscape paintings.

Description

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%).

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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.

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Teesside University Research Data Repositoryoai:data.mendeley.com/wp3dx92x3f.115 h agoJSON v1
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concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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