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How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt
9 May 2020
Gabriel Kaptchuk
D. Goldstein
E. Hargittai
Jake M. Hofman
Elissa M. Redmiles
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Papers citing
"How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt"
5 / 5 papers shown
Title
"I need a better description'': An Investigation Into User Expectations For Differential Privacy
Rachel Cummings
Gabriel Kaptchuk
Elissa M. Redmiles
26
80
0
13 Oct 2021
Proof-of-Vax: Studying User Preferences and Perception of Covid Vaccination Certificates
Marvin Kowalewski
Franziska Herbert
Theodor Schnitzler
Markus Dürmuth
16
11
0
22 Jun 2021
Apps Against the Spread: Privacy Implications and User Acceptance of COVID-19-Related Smartphone Apps on Three Continents
Christine Utz
Steffen Becker
Theodor Schnitzler
Florian M. Farke
Franziska Herbert
Leonie Schaewitz
Martin Degeling
Markus Dürmuth
13
74
0
27 Oct 2020
An Automated Contact Tracing Approach for Controlling Covid-19 Spread Based on Geolocation Data from Mobile Cellular Networks
Md. Tanvir Rahman
R. T. Khan
Muhammad R. A. Khandaker
M. S. A. Salan
25
25
0
06 Jul 2020
Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps
Tianshi Li
Jackie Yang
Yang
Cori Faklaris
J. King
Yuvraj Agarwal
Laura A. Dabbish
Jason I. Hong
17
59
0
25 May 2020
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