No technical understanding required: Helping users make informed choices about access to their personal data
Open accessAbstract
Many smartphone apps collect personal information used for a variety of purposes. Users, however, are often unaware of this kind of access even though they must grant the required permissions upon app installation. We have identified three reasons for this unawareness. First, relevant permissions c
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Users have a tendency not to buy their apps, even if they cost mere cents.
“Users have a tendency to not buy their apps, even if they cost mere cents (Liccardi et al., 2014).”
From Putting the privacy paradox to the test: Online privacy and security behaviors among users with technical knowledge, privacy awareness, and financial resources (2019) · cites this paper as Liccardi et al., 2014
Technical skills (e.g., downloading an app) cannot be equated with technical literacy (e.g., understanding the data flow processes in play while downloading an app), leading users to make use of online services despite concerns about privacy or security issues.
“Consequently, technical skills (e.g., downloading an app) cannot be equated with technical literacy (e.g., understanding the data flow processes in play while downloading an app), leading to a situation in which users make use of online services despite concerns about privacy or security issues (Liccardi et al., 2014).”
From Putting the privacy paradox to the test: Online privacy and security behaviors among users with technical knowledge, privacy awareness, and financial resources (2019) · cites this paper as Liccardi et al., 2014
Cites
Privacy as part of the app decision-making process
Kelley, P. G., Cranor, L. F., & Sadeh, N. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2466466 · Cited by 314 · see citing works
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Barth, S., de Jong, M. D. T., Junger, M., Hartel, P. H., & Roppelt, J. C. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2019.03.003 · Cited by 219 · see citing works
- Authors
- Liccardi, I., Pato, J., Weitzner, D., Abelson, H., & De Roure, D.
- Affiliations
- University of Oxford (GB)
- Massachusetts Institute of Technology (US)
- Corresponding author
- Liccardi, Ilaria
- Venue
- Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
- Publisher
- ICST
- Published
- 2014
- OpenAlex
- W2057247128
- Cited by
- 42
- References
- 1
- Citations by year
- 2026: 1 · 2024: 3 · 2023: 1 · 2022: 3 · 2021: 2 · 2020: 3 · 2019: 6 · 2018: 8 · 2017: 5 · 2016: 4 · 2015: 6
- FWCI
- 16.10
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous) (publishedVersion)
- Funders
- National Science Foundation (0831442)
- Ford Foundation
- U.S. Department of Homeland Security (N66001-12-C-0082)
- European Commission (301567)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Keywords
- access to personal data, user awareness, informed consent, data privacy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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