Field Evidence of the Effects of Privacy, Data Transparency, and Pro-social Appeals on COVID-19 App Attractiveness

@inproceedings{DBLP:conf/chi/DooleyTDR22,
  author = {Dooley, Samuel and Turjeman, Dana and Dickerson, John P. and Redmiles, Elissa M.},
  editor = {Barbosa, Simone D. J. and Lampe, Cliff and Appert, Caroline and Shamma, David A. and Drucker, Steven Mark and Williamson, Julie R. and Yatani, Koji},
  title = {Field Evidence of the Effects of Privacy, Data Transparency, and Pro-social
                    Appeals on {COVID-19} App Attractiveness},
  booktitle = {{CHI} '22: {CHI} Conference on Human Factors in Computing Systems,
                    New Orleans, LA, USA, 29 April 2022 - 5 May 2022},
  pages = {622:1--622:21},
  publisher = {{ACM}},
  year = {2022},
  url = {https://doi.org/10.1145/3491102.3501869},
  doi = {10.1145/3491102.3501869},
  timestamp = {Sun, 19 Jan 2025 00:00:00 +0100},
  biburl = {https://dblp.org/rec/conf/chi/DooleyTDR22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}