ABSTRACT
Nowadays, governments worldwide use artificial intelligence (AI), big data, cloud computing, and other technologies to control the spread of the epidemic. These measures significantly improve the efficiency of virus tracking. Nevertheless, such digital defences have also raised concerns about privacy leaks. Privacy concerns and use intention have been studied in several areas in the existing literature, but few have been explored in-depth based on epidemic prevention. Therefore, this paper focuses on the background of the novel coronavirus epidemic and constructs a structural equation model based on the theory of privacy concern and technology acceptance model. The research studies the influence of privacy concerns, perceived risk, and other factors on users’ willingness to use new technologies. Based on 132 samples, the results show that privacy concerns significantly impact perceived risk. Perceived trust has significant positive impacts on self-disclosure intention. This study discusses individual self-disclosure intention in the field of public security from multiple perspectives. The research results extend the relevant theories on adopting and using emerging technologies. This study provides ideas on how to alleviate residents' privacy concerns in practice and helps government departments to carry out better prevention work. © 2022 CURRAN-CONFERENCE. All rights reserved.