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Young adults view smartphone tracking technologies for COVID-19 as acceptable: the case of Taiwan

Authors: Paul M. Garrett; YuWen Wang; Joshua P. White; Shulan Hsieh; Carol Strong; Yi-Chan Lee; Stephan Lewandowsky; +2 Authors

Young adults view smartphone tracking technologies for COVID-19 as acceptable: the case of Taiwan

Abstract

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.

Countries
United Kingdom, Australia
Keywords

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

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    popularity
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    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).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
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gold