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Facial Recognition Payment (FRP) systems have become an increasingly popular method for efficient transactions, particularly in China, where mobile payment technologies are widely integrated into daily life. Despite the rapid deployment of FRP, limited research has examined the factors influencing FRP acceptance among university students, a demographically significant and tech-savvy group. To address this gap, this study explores Chinese university students’ perspectives on FRP by employing Structural Equation Modeling based on 435 valid survey responses. The results show that Perceived Ease of Use (PEOU), Perceived Usefulness (PU), and Social Influence (SI) significantly affect Behavioral Intention to accept FRP. Among these factors, Social Influence was found to have the most significant impact, reflecting the broader role of external influences on technology adoption decisions. Additionally, Facilitating Conditions and Hedonic Motivation were found to significantly influence PEOU, which in turn affects PU. This study offers valuable insights into the factors driving the acceptance of FRP among university students and contributes to the broader understanding of technology adoption in China.

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Decoding Acceptance: Exploring Chinese Students’ Perspectives on Facial Recognition Payment Systems

  • 会议论文

  • 发表日期：

    2025年

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  • Qidi Zhang,
  • Pei-Luen Patrick Rau,
  • Xianglin Qi,
  • Liang Ma

摘要

Facial Recognition Payment (FRP) systems have become an increasingly popular method for efficient transactions, particularly in China, where mobile payment technologies are widely integrated into daily life. Despite the rapid deployment of FRP, limited research has examined the factors influencing FRP acceptance among university students, a demographically significant and tech-savvy group. To address this gap, this study explores Chinese university students’ perspectives on FRP by employing Structural Equation Modeling based on 435 valid survey responses. The results show that Perceived Ease of Use (PEOU), Perceived Usefulness (PU), and Social Influence (SI) significantly affect Behavioral Intention to accept FRP. Among these factors, Social Influence was found to have the most significant impact, reflecting the broader role of external influences on technology adoption decisions. Additionally, Facilitating Conditions and Hedonic Motivation were found to significantly influence PEOU, which in turn affects PU. This study offers valuable insights into the factors driving the acceptance of FRP among university students and contributes to the broader understanding of technology adoption in China.