@InProceedings{alt2021apps,
  author       = {Florian Alt},
  booktitle    = {{Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization}},
  title        = {{Out-of-the-Lab Research in Usable Security and Privacy}},
  year         = {2021},
  address      = {New York, NY, USA},
  note         = {alt2021apps},
  organization = {New York, NY, USA},
  publisher    = {Association for Computing Machinery},
  series       = {UMAP '21},
  abstract     = {The COVID pandemic made it challenging for usable security and privacy researchers around the globe to run experiments involving human subjects, specifically in cases where such experiments are conducted in controlled lab setting. Examples include but are not limited to (a) observing and collecting data on user behavior with the goal of (b) informing the design and (c) engineering novel concepts based on adaptation and personalization as well as (d) evaluating such concepts regarding user performance and robustness against different threat models.  In this keynote I will set out with providing a brief introduction to and examples on our research on behavioral biometrics. I will then discuss how the current situation influences research requiring close work with human subjects in lab settings and outline approaches to address emerging issues. Finally, I will provide some examples of out-of-the-lab research and reflect on both challenges and opportunities of these approaches.},
  doi          = {10.1145/3450614.3464468},
  timestamp    = {2021.05.05},
  url          = {http://florian-alt.org/unibw/wp-content/publications/alt2021apps.pdf},
}