论文标题
对于Covid19应用程序，有多好？利益，准确性和隐私对采用意愿的影响
How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt
论文作者
论文摘要
正在开发越来越多的接触跟踪应用程序来补充手动接触跟踪。一个关键问题是用户是否愿意采用这些联系人跟踪应用程序。在这项工作中，我们调查了4,500多名美国人，以评估（1）准确性和隐私问题对所报告的愿意安装COVID19联系跟踪应用程序的影响以及（2）不同的用户体重准确性与隐私的影响。利用了我们从前两个研究问题的发现，我们（3）定量地模拟了公共卫生益处（降低感染率），个人福利量（对COVID暴露的真实阳性检测）的数量以及假设接触tacting应用程序中的隐私风险的程度可能会影响美国人安装的意愿。我们的工作采用描述性道德方法来为与Covid19相关的政策和应用设计的制定提供影响。
A growing number of contact tracing apps are being developed to complement manual contact tracing. A key question is whether users will be willing to adopt these contact tracing apps. In this work, we survey over 4,500 Americans to evaluate (1) the effect of both accuracy and privacy concerns on reported willingness to install COVID19 contact tracing apps and (2) how different groups of users weight accuracy vs. privacy. Drawing on our findings from these first two research questions, we (3) quantitatively model how the amount of public health benefit (reduction in infection rate), amount of individual benefit (true-positive detection of exposures to COVID), and degree of privacy risk in a hypothetical contact tracing app may influence American's willingness to install. Our work takes a descriptive ethics approach toward offering implications for the development of policy and app designs related to COVID19.
