I've got 99 problems, but vibration ain't one: a survey of smartphone users' concerns

By Adrienne Porter Felt, Serge Egelman, David A. Wagner. Security and Privacy in Smartphones and Mobile Devices, 2012

315 citations recorded by the source corpus.

Subfields: Information Systems, Sociology and Political Science, Signal Processing

View Paper: https://www.semanticscholar.org/paper/adeb1addb492d45f52a67c7995783d70f89d3a1d

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Citations in the corpus

Privacy as part of the app decision-making process (2013, background): “They also performed a large risk-assessment survey of users’ attitudes towards possible security and privacy risks, and possible consequences of permission abuses [8].”
Large-scale assessment of mobile notifications (2014, background): “If apps, which are not perceived as useful, keep sending notifications, users become annoyed and consider deleting those apps [7].”
Expectation and purpose: understanding users' mental models of mobile app privacy through crowdsourcing (2012, background): “Nauman et al. [28] proposed Apex which provided more fine-grained control over the resources usage based on context and runtime constraints.”
FlowFence: Practical Data Protection for Emerging IoT Application Frameworks (2016, background): “There has been a large research effort at analyzing, and improving access control in smartphone frameworks [20, 49, 22, 24, 51, 50, 10, 16, 43, 68].”
Your Location has been Shared 5,398 Times!: A Field Study on Mobile App Privacy Nudging (2015, background): “They were selected both because they were shown to be the subject of mobile users’ privacy concerns [13], and because initial experiments demonstrated that these four information types constituted the most requested resources by apps, which made it likely that participants’ would have apps installed”
Modeling Users' Mobile App Privacy Preferences: Restoring Usability in a Sea of Permission Settings (2014, background): “A great deal of past work analyzing smartphone apps has focused on developing useful techniques and tools to detect and manage leakage of sensitive personal information [8-10, 14-26] or studying how users react to these usages [6, 13, 27, 28].”
An in-situ study of mobile phone notifications (2014, background): “If apps which are not perceived as useful keep sending notifications, users become annoyed and consider deleting those apps [12].”
Security Analysis of Emerging Smart Home Applications (2016, methodology): “27 # of apps using unrestricted SMS APIs.”
The Evolution of Android Malware and Android Analysis Techniques (2017, background): “This is evident as background SMS are considered a high risk event by users, as shown in a study ranking smartphone user concerns [Felt et al. 2012] and since malware still exhibit this behavior [McAfee 2014].”
Leakiness and creepiness in app space: perceptions of privacy and mobile app use (2014, background): “Despite this, revelations of data distribution by many common applications to third party advertisers have resulted in expressions of concern and discomfort by smartphone users [9,10,19,25].”