TY - GEN
T1 - Never ever or no matter what
T2 - 17th Symposium on Usable Privacy and Security, SOUPS 2021
AU - Häring, Maximilian
AU - Gerlitz, Eva
AU - Tiefenau, Christian
AU - Smith, Matthew
AU - Wermke, Dominik
AU - Fahl, Sascha
AU - Acar, Yasemin
N1 - Funding Information:
We thank, in alphabethical order: Yomna Abdelrahman, Ruba Ali Mahmoud Abu-Salma, Florian Alt, Zinaida Benenson, Na-taliia Bielova, Freya Gassmann, Katharina Krombholz, Mattia Mossano and Melanie Volkamer for their insightful discussions and helpful remarks on the survey. This work was partially funded by the Werner Siemens Foundation.
PY - 2021
Y1 - 2021
N2 - To help tackle the COVID-19 pandemic, the tech community has put forward proximity detection apps to help warn people who might have been exposed to the coronavirus. The privacy implications of such apps have been discussed both in academic circles and the general population. The discussion in Germany focused on the trade-off between a centralized or decentralized approach for data collection and processing and their implications. Specifically, privacy dominated the public debate about the proposed “Corona-Warn-App.” This paper presents a study with a quota sample of the German population (n = 744) to assess what the population knew about the soon-to-be-released app and their willingness to use it. We also presented participants potential properties the app could have and asked them how these would affect their usage intention. Based on our findings, we discuss our participants' views on privacy and functionality, including their perception of selected centralized and decentralized features. We also examine a wide range of false beliefs and information that was not communicated successfully. Especially technical details, such as that the app would use Bluetooth, as opposed to location services, were unknown to many participants. Our results give insights on the complicated relationship of trust in the government and public communication on the population's willingness to adopt the app.
AB - To help tackle the COVID-19 pandemic, the tech community has put forward proximity detection apps to help warn people who might have been exposed to the coronavirus. The privacy implications of such apps have been discussed both in academic circles and the general population. The discussion in Germany focused on the trade-off between a centralized or decentralized approach for data collection and processing and their implications. Specifically, privacy dominated the public debate about the proposed “Corona-Warn-App.” This paper presents a study with a quota sample of the German population (n = 744) to assess what the population knew about the soon-to-be-released app and their willingness to use it. We also presented participants potential properties the app could have and asked them how these would affect their usage intention. Based on our findings, we discuss our participants' views on privacy and functionality, including their perception of selected centralized and decentralized features. We also examine a wide range of false beliefs and information that was not communicated successfully. Especially technical details, such as that the app would use Bluetooth, as opposed to location services, were unknown to many participants. Our results give insights on the complicated relationship of trust in the government and public communication on the population's willingness to adopt the app.
UR - https://www.scopus.com/pages/publications/85114497215
M3 - Conference contribution
AN - SCOPUS:85114497215
T3 - Proceedings of the 17th Symposium on Usable Privacy and Security, SOUPS 2021
SP - 77
EP - 98
BT - Proceedings of the 17th Symposium on Usable Privacy and Security, SOUPS 2021
PB - USENIX Association
Y2 - 9 August 2021 through 10 August 2021
ER -