Lab Study Dataset: FIDO2 Platform and Roaming Authentication on Smartphones

This record contains the lab study dataset and evaluation R source code from the paper "FIDO2 the Rescue? Platform vs. Roaming Authentication on Smartphones" by Leon Würsching*, Florentin Putz* (* = equal contribution), Steffen Haesler, and Matthias Hollick in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23).

Our pseudonymous dataset 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.

Our R Markdown source code 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.

Please refer to the README.md file and our paper for further details about the dataset and the lab study.

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).