Acceptance of Intelligent Interviews by College Graduates Under AI Empowerment: An SEM Approach

Abstract

The Master Intelligent interview is based on the Stimulus-Organism-Response (SOR) theory, this study integrates key constructs from the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), namely attitude and behavioral intention, to develop a dual-path model of how AI empowerment influences college graduates’ acceptance of intelligent interview technology. Taking AI empowerment as the independent variable, perceived risk and attitude as mediating variables, and behavioral intention as the outcome variable, the study employs questionnaire surveys and structural equation modeling (SEM) for empirical analysis. The results show that AI empowerment exerts a significant positive impact on attitude, perceived risk, and behavioral intention. Both perceived risk and attitude play significant mediating roles between AI empowerment and behavioral intention. Interestingly, perceived risk does not suppress behavioral intention; instead, it positively promotes it through a “rational trade-off” mechanism. Moreover, perceived risk and attitude form a significant chain-mediated pathway, revealing a continuous psychological transmission mechanism of “rational cognition-emotional adjustment-behavioral decision-making”. This study enriches the theoretical framework of AI technology acceptance, extends the application of the SOR model to the context of intelligent recruitment, and provides valuable implications for optimizing university career guidance and enterprise recruitment systems.