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A growing number of contact tracing apps are being developed to complementmanual contact tracing. A key question is whether users will be willing toadopt these contact tracing apps. In this work, we survey over 4,500 Americansto evaluate (1) the effect of both accuracy and privacy concerns on reportedwillingness to install COVID19 contact tracing apps and (2) how differentgroups of users weight accuracy vs. privacy. Drawing on our findings from thesefirst two research questions, we (3) quantitatively model how the amount ofpublic health benefit (reduction in infection rate), amount of individualbenefit (true-positive detection of exposures to COVID), and degree of privacyrisk in a hypothetical contact tracing app may influence American's willingnessto install. Our work takes a descriptive ethics approach toward offeringimplications for the development of policy and app designs related to COVID19.

How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt