Lab Study Dataset: FIDO2 Platform and Roaming Authentication on Smartphones

<p>This record contains the <strong>lab study dataset and evaluation R source code</strong> from the paper &quot;FIDO2 the Rescue? Platform vs. Roaming Authentication on Smartphones&quot; by Leon W&uuml;rsching*, Florentin Putz* <em>(* = equal contribution)</em>, Steffen Haesler, and Matthias Hollick <em> </em>in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI &rsquo;23).</p> <p>Our pseudonymous <strong>dataset</strong> contains 22 variables for each of our 87 participants in our between-groups lab study. The variables consist of usability and acceptance scores, the adoption likelihood for 11 account types, and 9 control variables including the level of privacy concerns and ATI.</p> <p>Our R Markdown <strong>source code</strong> includes the full reproducible code of our study. This code generates all statistical figures from our paper. The code can also be used to reproduce our quantitative results and tables.</p> <p>Please refer to the README.md file and our paper for further details about the dataset and the lab study.</p> <p>&nbsp;</p> <p>This work has been co-funded by the LOEWE initiative (Hesse, Germany) within the emergenCITY center and the Federal Ministry of Education and Research of Germany in the project Open6GHub (grant number: 16KISK014).</p>