The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Privacy as part of the app decision-making process
Abstract
Smartphones have unprecedented access to sensitive personal information. While users report having privacy concerns, they may not actively consider privacy while downloading apps from smartphone application marketplaces. Currently, Android users have only the Android permissions display, which appears after they have selected an app to download, to help them understand how applications access their information. We investigate how permissions and privacy could play a more active role in app-selection decisions. We designed a short "Privacy Facts' display, which we tested in a 20-participant lab study and a 366-participant online experiment. We found that by bringing privacy information to the user when they were making the decision and by presenting it in a clearer fashion, we could assist users in choosing applications that request fewer permissions.
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“This is in line with the findings of Kelley et al. (2013) who found in their study on app decision-making process that users consider factors such as cost, functionality, design, ratings, reviews and downloads as more important than requested permissions.”
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 Kelley et al. (2013)
Citations
Cites
TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones
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Android permissions demystified
Felt, A. P., Chin, E., Hanna, S., Song, D. X., & Wagner, D. (2011) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2046707.2046779 · Cited by 1,305
Felt, A. P., Ha, E., Egelman, S., Haney, A., Chin, E., & Wagner, D. (2012) · Proceedings of the Eighth Symposium on Usable Privacy and Security · doi:10.1145/2335356.2335360 · Cited by 983
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A "nutrition label" for privacy
Kelley, P. G., Bresee, J., Cranor, L. F., & Reeder, R. W. (2009) · Symposium On Usable Privacy and Security · doi:10.1145/1572532.1572538 · Cited by 483
Self-citationLin (2012) · doi:10.1145/2370216.2370290 · Cited by 451
Self-citationA Conundrum of Permissions: Installing Applications on an Android Smartphone
Kelley, P. G., Consolvo, S., Cranor, L. F., Jung, J., Sadeh, N., & Wetherall, D. J. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-34638-5_6 · Cited by 352
Self-citationI've got 99 problems, but vibration ain't one
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Self-citation
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Barth, S., & de Jong, M. D. T. (2017) · Telematics and Informatics · doi:10.1016/j.tele.2017.04.013 · Cited by 798
“…and data ‘leakage’ in particular, recent literature argues that the consumer’s choice to use mobile technologies is primarily driven by considerations of popularity, usability and the price of a given technology (Kelley et al., 2013; Kim et al., 2008) despite the potential risk of data misuse.”
BackgroundNudges for Privacy and Security
Acquisti, A., Adjerid, I., Balebako, R., Brandimarte, L., Cranor, L. F., Komanduri, S., Leon, P. G., Sadeh, N., Schaub, F., Sleeper, M., et al. (2017) · ACM Computing Surveys · doi:10.1145/3054926 · Cited by 579
Self-citationYour Location has been Shared 5,398 Times!
Almuhimedi, H., Schaub, F., Sadeh, N., Adjerid, I., Acquisti, A., Gluck, J., Cranor, L. F., & Agarwal, Y. (2015) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702210 · Cited by 352
Self-citationA Design Space for Effective Privacy Notices*
Schaub, F., Balebako, R., Durity, A. L., & Cranor, L. F. (2018) · The Cambridge Handbook of Consumer Privacy · doi:10.1017/9781316831960.021 · Cited by 46
Self-citationBarth, 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 260
Metadata
- Authors
- Kelley, P. G., Cranor, L. F., & Sadeh, N.
- Affiliations
- University of New Mexico (US)
- Carnegie Mellon University (US)
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2013-04-27
- Pages
- 3393-3402
- OpenAlex
- W2007784529
- Cited by
- 314
- References
- 17
- Citations by year
- 2026: 12 · 2025: 9 · 2024: 13 · 2023: 27 · 2022: 34 · 2021: 27 · 2020: 23 · 2019: 15 · 2018: 33 · 2017: 33 · 2016: 32 · 2015: 28 · 2014: 22 · 2013: 5
- FWCI
- 90.49
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Funders
- National Science Foundation
- Carnegie Mellon University
- Army Research Office
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- application permissions, privacy, user decision-making, personal information disclosure
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