School of Psychological Sciences, University of Melbourne, Melbourne 3010, Australia.
Department of Psychology, National Cheng Kung University, Tainan 701, Taiwan.
Int J Environ Res Public Health. 2022 Mar 11;19(6):3323. doi: 10.3390/ijerph19063323.
Taiwan has been a world leader in controlling the spread of SARS-CoV-2 during the COVID-19 pandemic. Recently, the Taiwan Government launched its COVID-19 tracing app, 'Taiwan Social Distancing App'; however, the effectiveness of this tracing app depends on its acceptance and uptake among the general population. We measured the acceptance of three hypothetical tracing technologies (telecommunication network tracing, a government app, and the Apple and Google Bluetooth exposure notification system) in four nationally representative Taiwanese samples. Using Bayesian methods, we found a high acceptance of all three tracking technologies, with acceptance increasing with the inclusion of additional privacy measures. Modeling revealed that acceptance increased with the perceived technology benefits, trust in the providers' intent, data security and privacy measures, the level of ongoing control, and one's level of education. Acceptance decreased with data sensitivity perceptions and a perceived low policy compliance by others among the general public. We consider the policy implications of these results for Taiwan during the COVID-19 pandemic and in the future.
台湾在 COVID-19 大流行期间一直是控制 SARS-CoV-2 传播的世界领先者。最近，台湾政府推出了其 COVID-19 追踪应用程序“台湾社交距离应用程序”；然而，该追踪应用程序的有效性取决于其在普通民众中的接受程度和使用率。我们在四个具有全国代表性的台湾样本中测量了对三种假设追踪技术（电信网络追踪、政府应用程序以及苹果和谷歌蓝牙暴露通知系统）的接受程度。使用贝叶斯方法，我们发现所有三种跟踪技术都具有很高的接受度，随着附加隐私措施的增加，接受度也会增加。建模表明，接受度随着感知到的技术优势、对提供者意图的信任、数据安全性和隐私措施、持续控制水平以及受教育程度的提高而增加。接受度随着数据敏感性的认知以及公众中普遍认为的低政策合规性而降低。我们考虑了这些结果对台湾在 COVID-19 大流行期间和未来的政策影响。
