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COVID-19 Contact Tracing and Privacy: Studying Opinion and Preferences
v1v2 (latest)

COVID-19 Contact Tracing and Privacy: Studying Opinion and Preferences

12 May 2020
Lucy Simko
Ryan Calo
Franziska Roesner
Tadayoshi Kohno
ArXiv (abs)PDFHTML

Papers citing "COVID-19 Contact Tracing and Privacy: Studying Opinion and Preferences"

8 / 8 papers shown
52 Weeks Later: Attitudes Towards COVID-19 Apps for Different Purposes
  Over Time
52 Weeks Later: Attitudes Towards COVID-19 Apps for Different Purposes Over Time
Marvin Kowalewski
Christine Utz
Martin Degeling
Theodor Schnitzler
Franziska Herbert
Leonie Schaewitz
Florian M. Farke
Steffen Becker
Markus Dürmuth
184
7
0
12 Jul 2023
Proof-of-Vax: Studying User Preferences and Perception of Covid
  Vaccination Certificates
Proof-of-Vax: Studying User Preferences and Perception of Covid Vaccination CertificatesProceedings on Privacy Enhancing Technologies (PoPETs), 2021
Marvin Kowalewski
Franziska Herbert
Theodor Schnitzler
Markus Dürmuth
168
11
0
22 Jun 2021
Deep Learning for Virus-Spreading Forecasting: a Brief Survey
Deep Learning for Virus-Spreading Forecasting: a Brief Survey
Federico Baldo
Lorenzo Dall’Olio
M. Ceccarelli
Riccardo Scheda
M. Lombardi
Andrea Borghesi
S. Diciotti
M. Milano
161
6
0
03 Mar 2021
What Makes People Install a COVID-19 Contact-Tracing App? Understanding
  the Influence of App Design and Individual Difference on Contact-Tracing App
  Adoption Intention
What Makes People Install a COVID-19 Contact-Tracing App? Understanding the Influence of App Design and Individual Difference on Contact-Tracing App Adoption Intention
Tianshi Li
Camille Cobb
Jackie Yang
Yang
Sagar Baviskar
Yuvraj Agarwal
Beibei Li
Lujo Bauer
Jason I. Hong
375
87
0
22 Dec 2020
Apps Against the Spread: Privacy Implications and User Acceptance of
  COVID-19-Related Smartphone Apps on Three Continents
Apps Against the Spread: Privacy Implications and User Acceptance of COVID-19-Related Smartphone Apps on Three ContinentsInternational Conference on Human Factors in Computing Systems (CHI), 2020
Christine Utz
Steffen Becker
Theodor Schnitzler
Florian M. Farke
Franziska Herbert
Leonie Schaewitz
Martin Degeling
Markus Dürmuth
184
80
0
27 Oct 2020
Digital Surveillance Systems for Tracing COVID-19: Privacy and Security
  Challenges with Recommendations
Digital Surveillance Systems for Tracing COVID-19: Privacy and Security Challenges with Recommendations
Molla Rashied Hussein
A. Shams
E. Apu
K. Mamun
Mohammad Shahriar Rahman
247
24
0
26 Jul 2020
A Privacy-preserving Mobile and Fog Computing Framework to Trace and
  Prevent COVID-19 Community Transmission
A Privacy-preserving Mobile and Fog Computing Framework to Trace and Prevent COVID-19 Community TransmissionIEEE journal of biomedical and health informatics (JBHI), 2020
Md. Whaiduzzaman
Md. Razon Hossain
Ahmedur Rahman Shovon
Shanto Roy
Aron Laszka
Rajkumar Buyya
Alistair Barros
187
53
0
23 Jun 2020
How good is good enough for COVID19 apps? The influence of benefits,
  accuracy, and privacy on willingness to adopt
How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt
Gabriel Kaptchuk
D. Goldstein
E. Hargittai
Jake M. Hofman
Elissa M. Redmiles
222
87
0
09 May 2020
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