Choice Architecture and Smartphone Privacy: There’s a Price for That
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Users may be less concerned about location than other types of data commonly accessed by apps.
“Location is an important aspect of eprivacy (see Rowe, 2020, for an interesting discussion), but users may be less concerned about location than other types of data commonly accessed by apps (e.g., Egelman et al., 2013).”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Egelman et al., 2013
Users want applications to perform specific tasks.
“Previous research shows that users want applications to perform specific tasks (Egelman et al., 2013)”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Egelman et al., 2013
Previous research suggests that users are concerned with their privacy and even willing to pay premiums for apps that are less likely to request access to personal data.
“Besides, previous research suggests that users are concerned with their privacy and even willing to pay premiums for apps that are less likely to request access to personal data (Egelman et al., 2013).”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Egelman et al., 2013
Some studies interested in decisions in the context of mobile applications have focused more on risks and not given as much attention to the relation between the degree of importance of different apps and the decision to disclose personal information.
“However, some studies interested in decisions in the context of mobile applications have focused more on risks and not given as much attention to the relation between the degree of importance of different apps and the decision to disclose personal information (e.g., Felt et al., 2012;Egelman et al., 2013;Zafeiropoulou et al., 2013;Buck et al., 2014).”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Egelman et al., 2013
The literature indicates several factors that may influence e-privacy decisions, such as the degree of control over the release of personal information, benefits from data disclosure, and e-privacy concerns.
“The literature indicates several factors that may influence eprivacy decisions, such as the degree of control over the release of personal information, benefits from data disclosure, and eprivacy concerns (e.g., Brandimarte et al., 2012;Felt et al., 2012;Egelman et al., 2013;Zafeiropoulou et al., 2013;Buck et al., 2014).”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Egelman et al., 2013
Previous research found that most participants do not pay attention to permission during installation.
“Previous research found that most participants do not pay attention to permission during installation (Egelman et al., 2013).”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Egelman et al., 2013
The variation in correlations regarding the different facets suggests that the use of different instruments to measure privacy concerns can contribute to variations in terms of conclusions across studies, sometimes showing the so-called privacy paradox, sometimes contradicting its existence.
“The variation in correlations regarding the different facets suggests that the use of different instruments to measure privacy concerns can contribute to variations in terms of conclusions across studies, sometimes showing the so-called privacy paradox, sometimes contradicting its existence (e.g., Acquisti and Grossklags, 2003;Egelman et al., 2013).”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Egelman et al., 2013
From our data from Study 2, it can be concluded that granting access to the location might be seen by the user as taking advantage of desirable location-sensitive features of a Weather app, as well as photo storage can be an advantage of a Messaging app.
“For example, from our data from Study 2, it can be concluded that granting access to the location might be seen by the user as taking advantage of desirable location-sensitive features of a Weather app (Egelman et al., 2013;Zafeiropoulou et al., 2013), as well as photo storage can be an advantage of a Messaging app.”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Egelman et al., 2013
The results of Studies 1 and 2 confirm the hypothesis that app perceived importance has a positive effect on app installation intention (H4), replicating previous studies.
“Therefore, the results of Studies 1 and 2 confirm the hypothesis that app perceived importance has a positive effect on app installation intention (H 4 ), replicating previous studies (e.g., Egelman et al., 2013;Shahidi et al., 2022).”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Egelman et al., 2013
Cites
Nudge: improving decisions about health, wealth, and happiness
(2008) · Choice Reviews Online · doi:10.5860/choice.46-0977 · Cited by 11,614 · see citing works
Nudge: Improving Decisions About Health, Wealth and Happiness
Adkisson, R. V. (2008) · The Social Science Journal · doi:10.1016/j.soscij.2008.09.003 · Cited by 5,680 · see citing works
TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones
Enck, W., Gilbert, P., Chun, B.-G., Cox, L. P., Jung, J., McDaniel, P. D., & Sheth, A. N. (2010) · doi:10.5555/1924943.1924971 · Cited by 2,259 · see citing works
Privacy and rationality in individual decision making
Acquisti, A., & Grossklags, J. (2005) · IEEE Security and Privacy Magazine · doi:10.1109/msp.2005.22 · Cited by 1,123 · see citing works
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 · see citing works
Self-citationOn lightweight mobile phone application certification
Enck, W., Ongtang, M., & McDaniel, P. D. (2009) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/1653662.1653691 · Cited by 926 · see citing works
A study of android application security
Enck, W., Octeau, D., McDaniel, P. D., & Chaudhuri, S. (2011) · Cited by 871 · see citing works
These aren't the droids you're looking for
Hornyack, P., Han, S., Jung, J., Schechter, S., & Wetherall, D. J. (2011) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2046707.2046780 · Cited by 569 · see citing works
Privacy in electronic commerce and the economics of immediate gratification
Acquisti, A. (2004) · Proceedings of the 5th ACM conference on Electronic commerce · doi:10.1145/988772.988777 · Cited by 561 · see citing works
Location disclosure to social relations
Consolvo, S., Smith, I. E., Matthews, T. L., LaMarca, A., Tabert, J., & Powledge, P. S. (2005) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1054972.1054985 · Cited by 547 · see citing works
Nauman, M., Khan, S. R., & Zhang, X. (2010) · ACM Symposium on Information, Computer and Communications Security · doi:10.1145/1755688.1755732 · Cited by 530 · see citing works
Acquisti, A., John, L. K., & Loewenstein, G. F. (2013) · The Journal of Legal Studies · doi:10.1086/671754 · Cited by 523 · see citing works
PiOS : Detecting privacy leaks in iOS applications
Egele, M. (2011) · Cited by 457 · see citing works
Location-Based Services for Mobile Telephony: a study of users' privacy concerns
Barkhuus, L., & Dey, A. K. (2003) · IT University Of Copenhagen (IT University of Copenhagen) · Cited by 455 · see citing works
E-privacy in 2nd generation E-commerce
Spiekermann, S., Großklags, J., & Berendt, B. (2001) · ACM Conference on Electronic Commerce (EC) · doi:10.1145/501158.501163 · Cited by 454 · see citing works
Beautement, A., Sasse, M. A., & Wonham, M. (2008) · New Security Paradigms Workshop · doi:10.1145/1595676.1595684 · Cited by 295 · see citing works
Who wants to know what when? privacy preference determinants in ubiquitous computing
Lederer, S., Mankoff, J. C., & Dey, A. K. (2003) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/765891.765952 · Cited by 284 · see citing works
Pearce, P., Felt, A. P., Núñez, G., & Wagner, D. (2012) · ACM Asia Conference on Computer and Communications Security (ASIA CCS) · doi:10.1145/2414456.2414498 · Cited by 273 · see citing works
Self-citationI've got 99 problems, but vibration ain't one
Felt, A. P., Egelman, S., & Wagner, D. (2012) · doi:10.1145/2381934.2381943 · Cited by 260 · see citing works
Self-citationThe effectiveness of application permissions
Felt, A. P., Greenwood, K., & Wagner, D. (2011) · Cited by 245 · see citing works
Self-citationHuberman, B. A., Adar, E., & Fine, L. R. (2005) · IEEE Security & Privacy · doi:10.1109/msp.2005.137 · Cited by 239 · see citing works
Großklags, J., & Acquisti, A. (2007) · WEIS · Cited by 190 · see citing works
E-privacy in 2nd Generation E-Commerce: Privacy Preferences Versus Actual Behavior
Spiekermann, S., Grossklags, J., & Berendt, B. (2001) · Cited by 189 · see citing works
Is this app safe?: a large scale study on application permissions and risk signals
Chia, P. H., Yamamoto, Y., & Asokan, N. (2012) · Proceedings of the 21st international conference on World Wide Web · doi:10.1145/2187836.2187879 · Cited by 184 · see citing works
A study on the value of location privacy
Cvrček, D., Kumpošt, M., Matyáš, V., & Danezis, G. (2006) · ACM Workshop on Privacy in the Electronic Society (WPES) · doi:10.1145/1179601.1179621 · Cited by 177 · see citing works
Americans' attitudes about internet behavioral advertising practices
McDonald, A. M., & Cranor, L. F. (2010) · Proceedings of the 9th annual ACM workshop on Privacy in the electronic society · doi:10.1145/1866919.1866929 · Cited by 161 · see citing works
How Much is Location Privacy Worth
Danezis, G., Lewis, S. P., & Anderson, R. (2005) · Cited by 158 · see citing works
Privacy in Location-Aware Computing Environments
Anthony, D. L., Henderson, T., & Kotz, D. F. (2007) · IEEE Pervasive Computing · doi:10.1109/mprv.2007.83 · Cited by 145 · see citing works
Are you close with me? are you nearby?
Wiese, J., Kelley, P. G., Cranor, L. F., Dabbish, L., Hong, J., & Zimmerman, J. (2011) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2030112.2030140 · Cited by 143 · see citing works
Good, N. S., Dhamija, R., Großklags, J., Thaw, D. B., Aronowitz, S., Mulligan, D. K., & Konstan, J. A. (2005) · Symposium On Usable Privacy and Security · doi:10.1145/1073001.1073006 · Cited by 126 · see citing works
Egelman, S., Tsai, J., Cranor, L. F., & Acquisti, A. (2009) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518752 · Cited by 120 · see citing works
Self-citationDeveloping privacy guidelines for social location disclosure applications and services
Iachello, G., Smith, I., Consolvo, S., et al. (2005) · doi:10.1145/1073001.1073008 · Cited by 116 · see citing works
Beliefs and Behaviors: Internet Users' Understanding of Behavioral Advertising
McDonald, A. M., & Cranor, L. F. (2010) · Cited by 108 · see citing works
When are users comfortable sharing locations with advertisers?
Kelley, P. G., Benisch, M., Cranor, L. F., et al. (2011) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/1978942.1979299 · Cited by 59 · see citing works
The security cost of cheap user interaction
Böhme, R., & Großklags, J. (2011) · New Security Paradigms Workshop · doi:10.1145/2073276.2073284 · Cited by 59 · see citing works
Power strips, prophylactics, and privacy, oh my!
Gideon, J., Cranor, L. F., Egelman, S., & Acquisti, A. (2006) · Symposium On Usable Privacy and Security · doi:10.1145/1143120.1143137 · Cited by 57 · see citing works
Self-citationAdDroid: Privilege Separation for Applications and Advertisers in Android
Pearce, P., Felt, A. P., Núñez, G., et al. (2013) · doi:10.21236/ada584780 · Cited by 51 · see citing works
Self-citationThe Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study.
Cranor, L. F., Egelman, S., Tsai, J., & Acquisti, A. (2007) · Cited by 49 · see citing works
Self-citationThe Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study
Tsai, J., Egelman, S., Cranor, L. F., et al. (2011) · doi:10.1184/r1/16560339 · Cited by 33 · see citing works
Self-citationThe impact of privacy indicators on search engine browsing patterns
Tsai, J., Egelman, S., Cranor, L. F., et al. (2009) · Symposium On Usable Privacy and Security · doi:10.1145/1572532.1572568 · Cited by 5 · see citing works
Self-citation
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Sorted by citations
Kokolakis, S. (2017) · Computers & Security · doi:10.1016/j.cose.2015.07.002 · Cited by 1,229 · see citing works
Contact tracing apps and values dilemmas: A privacy paradox in a neo-liberal world
Rowe, F. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102178 · Cited by 176 · see citing works
The privacy and control paradoxes in the context of smartphone apps
Ayres-Pereira, V., Pirrone, A., Korbmacher, M., Tjostheim, I., & Böhm, G. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.986138 · Cited by 4 · see citing works
“The literature indicates several factors that may influence eprivacy decisions, such as the degree of control over the release of personal information, benefits from data disclosure, and eprivacy concerns (e.g., Brandimarte et al., 2012; Felt et al., 2012; Egelman et al., 2013; Zafeiropoulou et al., 2013; Buck et al.,…”
BackgroundResultInfluentialZhang, X., Akter, M., An, H., Liu, M., Zhang, Q., Huang, L., Cho, J.-H., J. Wisniewski, P., & Lee, S. W. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790949
“In contrast, our work centers on teens and their parents to identify specific responses that may escalate unwanted advances as well as strategies that can help de-escalate them, providing practical, behavior-focused guidance that complements prior vulnerability research.”
- Authors
- Egelman, S., Felt, A. P., & Wagner, D.
- Affiliations
- University of California System (US)
- Google (United States) (US)
- Corresponding author
- Egelman, Serge
- Venue
- The Economics of Information Security and Privacy
- Publisher
- Springer Berlin Heidelberg
- Published
- 2013
- Pages
- 211-236
- OpenAlex
- W12003480
- Cited by
- 131
- References
- 40
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 4 · 2023: 6 · 2022: 9 · 2021: 9 · 2020: 9 · 2019: 16 · 2018: 13 · 2017: 14 · 2016: 16 · 2015: 10 · 2014: 10 · 2013: 9 · 2012: 2
- FWCI
- 94.95
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- choice architecture, smartphone privacy, willingness to pay, application permissions, personal data exposure, satisficing, consumer behavior
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