
pmid: 33540628
pmc: PMC7908157
Taiwan has been successful in controlling the spread of SARS-CoV-2 during the COVID-19 pandemic; however, without a vaccine the threat of a second outbreak remains. Young adults who show few-to-no symptoms when infected have been identified in many countries as driving the virus' spread through unidentifiable community transmission. Mobile tracking technologies register nearby contacts of a user and notifies them if one later tests positive to the virus, potentially solving this issue; however, the effectiveness of these technologies depends on their acceptance by the public. The current study assessed attitudes towards three tracking technologies (telecommunication network tracking, a government app, and Apple and Google's Bluetooth exposure notification system) among four samples of young Taiwanese adults (aged 25 years or younger). Using Bayesian methods, we find high acceptance for all three tracking technologies (> 75%), with acceptance for each technology surpassing 90% if additional privacy measures were included. We consider the policy implications of these results for Taiwan and similar cultures.
Adult, /dk/atira/pure/core/keywords/tedcog, Technology, name=Memory, Taiwan, privacy, contact tracing, Article, /dk/atira/pure/core/keywords/cognitive_science, Young Adult, /dk/atira/pure/core/keywords/tedcog; name=TeDCog, name=Cognitive Science, tracking technologies, Humans, Pandemics, SARS-CoV-2, public health, /dk/atira/pure/core/keywords/psyc_memory; name=Memory, COVID-19, health policy, Bayes Theorem, Mobile Applications, privacy calculus, /dk/atira/pure/core/keywords/uob_covid19, /dk/atira/pure/core/keywords/uob_covid19; name=Covid19, name=Covid19, Privacy, /dk/atira/pure/core/keywords/cognitive_science; name=Cognitive Science, name=TeDCog, Smartphone, Contact Tracing, /dk/atira/pure/core/keywords/psyc_memory
Adult, /dk/atira/pure/core/keywords/tedcog, Technology, name=Memory, Taiwan, privacy, contact tracing, Article, /dk/atira/pure/core/keywords/cognitive_science, Young Adult, /dk/atira/pure/core/keywords/tedcog; name=TeDCog, name=Cognitive Science, tracking technologies, Humans, Pandemics, SARS-CoV-2, public health, /dk/atira/pure/core/keywords/psyc_memory; name=Memory, COVID-19, health policy, Bayes Theorem, Mobile Applications, privacy calculus, /dk/atira/pure/core/keywords/uob_covid19, /dk/atira/pure/core/keywords/uob_covid19; name=Covid19, name=Covid19, Privacy, /dk/atira/pure/core/keywords/cognitive_science; name=Cognitive Science, name=TeDCog, Smartphone, Contact Tracing, /dk/atira/pure/core/keywords/psyc_memory
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 32 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
