How Usable Are iOS App Privacy Labels?
dc.contributor.author | Zhang, Shikun | |
dc.contributor.author | Feng, Yuanyuan | |
dc.contributor.author | Yao, Yaxing | |
dc.contributor.author | Cranor, Lorrie Faith | |
dc.contributor.author | Sadeh, Norman | |
dc.date.accessioned | 2022-07-27T19:24:50Z | |
dc.date.available | 2022-07-27T19:24:50Z | |
dc.date.issued | 2022-06-16 | |
dc.description | The 22nd Privacy Enhancing Technologies Symposium, July 11–15, 2022, Sydney, Australia | en_US |
dc.description.abstract | Standardized privacy labels that succinctly summarize those data practices that people are most commonly concerned about offer the promise of providing users with more effective privacy notices than fulllength privacy policies. With their introduction by Apple in iOS 14 and Google’s recent adoption in its Play Store, mobile app privacy labels are for the first time available at scale to users. We report the first in-depth interview study with 24 lay iPhone users to investigate their experiences, understanding, and perceptions of Apple’s privacy labels. We uncovered misunderstandings of and dissatisfaction with the iOS privacy labels that hinder their effectiveness, including confusing structure, unfamiliar terms, and disconnection from permission settings and controls. We identify areas where app privacy labels might be improved and propose suggestions to address shortcomings to make them more understandable, usable, and useful. | en_US |
dc.description.sponsorship | This research has been supported in part by a grant from the National Science Foundation under its Secure and Trustworthy Computing program (grant CNS-1801316), an unrestricted research grant from Google under its “privacy-related faculty award” program, and a gift from Innovators Network Foundation. The US Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notice thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as representing the official policies or endorsements, either expressed or implied of NSF, the US Government, or Google. | en_US |
dc.description.uri | https://petsymposium.org/2022/files/papers/issue4/popets-2022-0106.pdf | en_US |
dc.format.extent | 25 pages | en_US |
dc.genre | conference papers and proceedings | en_US |
dc.genre | preprints | en_US |
dc.identifier | doi:10.13016/m2bnl1-sblo | |
dc.identifier.uri | http://hdl.handle.net/11603/25250 | |
dc.language.iso | en_US | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Information Systems Department Collection | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) | * |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | How Usable Are iOS App Privacy Labels? | en_US |
dc.type | Text | en_US |
dcterms.creator | https://orcid.org/0000-0002-5759-9793 | en_US |