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)
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Cites
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Android permissions demystified
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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
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Self-citationA Conundrum of Permissions: Installing Applications on an Android Smartphone
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Self-citationI've got 99 problems, but vibration ain't one
Felt, A. P., Egelman, S., & Wagner, D. (2012) · Security and Privacy in Smartphones and Mobile Devices · doi:10.1145/2381934.2381943 · Cited by 270
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Enhancing Transparency and Accountability of TPLs with PBOM: A Privacy Bill of Materials
Xiao, Y., Nadkarni, A., & Liao, X. (2023) · ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses (SCORED) · doi:10.1145/3689944.3696159
A Glimpse Into the Pandora's Box
West, J., Li, J., & Fawaz, K. (2025) · Communications of the ACM · doi:10.1145/3714417
Mandal, P., Ami, A. S., Giuffrida, I., Shin, D., Sullivan, E., & Nadkarni, A. (2025) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp61157.2025.00212
Understanding the perceived importance of disclosing ethical concerns underlying data visualizations
JUNGER, A. C. F., & Barbosa, S. D. J. (2025) · Simpósio Brasileiro de Fatores Humanos em Sistemas Computacionais (IHC) · doi:10.5753/ihc.2025.10920
Riyadh, H. T. M. A., Bhardwaj, D., Hellenthal, M. V., Hart, A., Krombholz, K., & Bugiel, S. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790430
Designing Privacy Choice in Generative AI Chatbot Ecosystems
Liu, L., Li, X. A., Lin, A. Y., & Yao, Y. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790809
Zhang, S., Zang, Q., Hu, Y. '., Du, J., Wang, X., Kong, Y., Fu, X., Nanayakkara, S. C., Yi, X., & Li, H. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790288 · Cited by 3
Alshomrani, N., Furnell, S., Webb, H., & Guerra-Manzanares, A. (2026) · Journal of Cybersecurity and Privacy · doi:10.3390/jcp6030094
Understanding Mobile App Review Ranking Manipulation for Illicit Online Promotion
Wu, Y., Chi, J., Liao, X., Zhao, Y. J., Hong, Z., & Ji, S. (2026) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2026.3698591
Hsu, J. S., Chang-Chien, Y.-T., & Nah, F. F. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7173690
Sukhwani, D., Bhandari, S., & Sahu, D. A. K. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7181267
Pal, R. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-33500-5_10
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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