Factors Influencing the Usage Behavior of Generative AI Among Shanghai Residents
Qianning Zhang, Jiayu Zhang, Yifei Yang, Jingjing Wang
Advances in Humanities and Modern Education Research Vol. 3 / No. 1 / pp. 138-143 / October 17, 2025
Abstract
This study explores the influencing factors of generative AI usage behavior among residents in Shanghai. Based on 208 questionnaire responses and analyzed using SPSS, the findings reveal that users can be categorized into three types: technology-dependent, ethics-sensitive, and function-oriented. High-frequency users (80.19%) exhibit weaker awareness of privacy risks, while low-frequency users (19.8%) pay more attention to technological transparency. Age and education level significantly influence usage intention in specific scenarios. Recommendations are provided to optimize technology design and policy regulation for different user groups.
Keywords
Generative Artificial Intelligence / Usage Behavior / Technology Acceptance
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