| 英文摘要 |
Due to the popularization of mobile communication devices, the Internet of Things, and big data analysis techniques, digital contact tracing technologies (DCTs) have become novel tools for governments worldwide to curb the spread of COVID-19. However, concerns about the privacy, technical stability, and accessibility of these technologies have not been studied thoroughly. This paper examines factors related to the public’s acceptance of the government’s use of four different DCTs: geofencing, big data analysis, short message real-name registration, and the Taiwan Social Distancing App. The analysis of online questionnaires (N=450) with ordinary least squares and logistic regression shows that perceived usefulness, privacy concern, trust, pro-social, and compliance are significantly associated with general DCT acceptance. However, when the DCT categories are further divided, only perceived usefulness and political trust can consistently predict positive attitudes. In particular, accepting voluntary DCTs (short message real-name registration and the Taiwan Social Distancing App) has stronger associations with political trust, while the pro-social inclination is only associated with coercive DCTs (geofencing and big data analysis). The primary contribution of this study lies in examining a comprehensive set of factors proposed by previous literature and comparing factors affecting the acceptance of various DCT policies. This study also endorses the simultaneous deployment of multiple DCTs to bolster policy compliance. |