COVID-19 Contact Tracing and Privacy: Studying Opinion and Preferences
Lucy Simko (1, 2, 3), Ryan Calo (2, 4), Franziska Roesner (1, 2, and 3), Tadayoshi Kohno (1, 2, 3) ((1) Security, Privacy Research Lab,, University of Washington, (2) Tech Policy Lab, University of Washington, (3), Paul G. Allen School of Computer Science & Engineering

TL;DR
This study surveys public opinion on COVID-19 contact tracing technologies and privacy concerns, providing insights into diverse attitudes to inform policy and technology deployment strategies.
Contribution
It offers empirical data from online surveys on public preferences and opinions regarding contact tracing and privacy during COVID-19, highlighting diversity in perspectives.
Findings
Public opinion on contact tracing varies widely.
Privacy concerns influence acceptance of contact tracing technologies.
Initial survey results reveal key factors affecting public trust.
Abstract
There is growing interest in technology-enabled contact tracing, the process of identifying potentially infected COVID-19 patients by notifying all recent contacts of an infected person. Governments, technology companies, and research groups alike recognize the potential for smartphones, IoT devices, and wearable technology to automatically track "close contacts" and identify prior contacts in the event of an individual's positive test. However, there is currently significant public discussion about the tensions between effective technology-based contact tracing and the privacy of individuals. To inform this discussion, we present the results of a sequence of online surveys focused on contact tracing and privacy, each with 100 participants. Our first surveys were on April 1 and 3, and we report primarily on those first two surveys, though we present initial findings from later survey…
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Taxonomy
TopicsCOVID-19 Digital Contact Tracing · Mobile Crowdsensing and Crowdsourcing · Privacy, Security, and Data Protection
