Gauging the acceptance of contact tracing technology: An empirical study of Singapore residents’ concerns with sharing their information and willingness to trust

• Main Authors: Ong, Ee-Ing, LOO, Wee Ling
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: AI; contact tracing; COVID-19; empirical work; survey; data privacy; data security; surveillance; trust; Singapore; pandemics; Asian Studies; Information Security; Privacy Law; Science and Technology Law
• Online Access: https://ink.library.smu.edu.sg/sol_research/3282; https://ink.library.smu.edu.sg/context/sol_research/article/5240/viewcontent/Gauging_the_Acceptance_of_Contact_Tracing_Technology_WP__2_April_2021_.pdf
• Institution: Singapore Management University

In response to the COVID-19 pandemic, governments began implementing various forms of contact tracing technology. Singapore’s implementation of its contact tracing technology, TraceTogether, however, was met with significant concern by its population, with regard to privacy and data security. This c...