Exploring the determinants of AIGC usage intention based on the extended AIDUA model: a multi-group structural equation modeling analysis.

Journal: Frontiers in psychology
Published Date: May 21, 2025

Abstract

OBJECTIVE: With the rapid development and widespread adoption of generative artificial intelligence (GenAI) technologies, their unique characteristics-such as conversational capabilities, creative intelligence, and continuous evolution-have posed challenges for traditional technology acceptance models (TAMs) in adequately explaining user adoption intentions. To better understand the key factors influencing users' acceptance of GenAI, this study extends the AIDUA model by incorporating system compatibility, technology transparency, and human-computer interaction perception. These variables are introduced to systematically explore the determinants of users' intention to adopt GenAI. Furthermore, the study examines the varying mechanisms of influence across different user groups and application scenarios, providing theoretical insights and practical guidance for optimizing and promoting GenAI technologies.

Authors

  • Xueyan Bai
    School of Journalism and New Media, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
  • Lin Yang
    National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals