Decoding user disclosure intentions in generative AI: Exploring the influence of system attributes on trust and privacy concerns within the extended technology acceptance model

As generative artificial intelligence becomes more prevalent, understanding the factors that influence users' willingness to disclose personal information to these platforms is crucial. This study explores how Perceived Autonomy and Perceived Empathy in generative AI platforms influence users’ Behavioral Intent to Disclose personal information. Using a sample of 1,034 generative AI users in China, Structural Equation Modeling (SEM) was employed to analyze the relationships between autonomy, empathy, trust, privacy concerns, and disclosure intentions. The results show that both Perceived Autonomy and Perceived Empathy positively influence Behavioral Intent to Disclose personal information on generative AI platforms. These relationships are positively mediated by Trust in Generative AI and negatively mediated by Privacy Concerns, highlighting the role of trust in enhancing disclosure and privacy concerns in reducing it. These findings align with the Extended Technology Acceptance Model, which emphasizes the role of trust and privacy as external factors in shaping user behavior. This study provides valuable insights into how AI system attributes influence disclosure decisions, offering guidance for the design of more trustworthy and privacy-sensitive generative AI platforms.