Influencing Factors on the Adoption of Face Recognition Technology on Campus Based on SEM

Nowadays, the facial recognition technology (FRT) is gradually being applied in our life. In order to better serve the campus life, this paper tries to understand and study the influencing factors on the adoption of FRT on campus. A structural equation model (SEM) approach is designed to quantify multiple influencing variables and figure out the relationships among each other. The data collection is obtained through questionnaires, and the representativeness of data is analyzed using SPSS software. After that, the data were modeled using the Amos toolkit. The results reveal that the core factors about the adoption of FRT on campus are privacy and promotion.