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Determinants of Undergraduates Attitude and Behavioral Intention Toward Facial Recognition Technology in Chengdu, China |
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| รหัสดีโอไอ | |
| Creator | Xiaoxu Liu |
| Title | Determinants of Undergraduates Attitude and Behavioral Intention Toward Facial Recognition Technology in Chengdu, China |
| Publisher | Assumption University Press |
| Publication Year | 2569 |
| Journal Title | The Scholar: Human Sciences |
| Journal Vol. | 18 |
| Journal No. | 2 |
| Page no. | 1-12 |
| Keyword | Facial Recognition, Perceived Ease of Use, Perceived Usefulness, Experiential Value, Behavioral Intention |
| URL Website | https://assumptionjournal.au.edu/index.php/Scholar/article/view/8985 |
| Website title | The Scholar: Human Sciences |
| ISSN | 2586-9388 |
| Abstract | Purpose: The objective of this study is to examine key factors influencing undergraduate students' behavioral intention to use facial recognition technology (FRT) at three public universities in Chengdu, China. Specifically, the study investigates the impact of perceived ease of use (PEOU), perceived usefulness (PU), attitude (ATT), perceived risk (PR), perceived complexity (PC), and experiential value (EV) on behavioral intention (BI). Research design, data, and methods: A quantitative exploratory approach was employed, with a sample of 500 undergraduate students surveyed using a structured questionnaire. The study utilized a multistage sampling strategy, and data were analyzed using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). Result: The results supported all proposed hypotheses, revealing that perceived usefulness (PU) had the most significant direct effect on behavioral intention. Conclusion: The findings suggest that universities should enhance awareness and education on FRT to maximize its convenience and efficiency for students. Additionally, administrators must ensure strict security measures to protect students' personal data and mitigate risks related to information misuse. Enterprises providing FRT services should also focus on improving the technology's software and hardware capabilities while simplifying its interface to enhance user experience and adoption. These insights contribute to a deeper understanding of FRT acceptance among university students. |
