Privacy as part of the app decision-making process

By Patrick Gage Kelley, Lorrie Faith Cranor, Norman M. Sadeh. International Conference on Human Factors in Computing Systems, 2013

387 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/85e608824b45b586810e95cd2b9716e33b5337cc

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Citations in the corpus

A Design Space for Effective Privacy Notices (2015, background): “…developed design space can help designers, developers, and researchers identify notice and choice requirements and develop a comprehensive notice concept for their system that addresses the needs of different audiences and considers the system’s limitations and opportunities for providing notice.”
Modeling Users' Mobile App Privacy Preferences: Restoring Usability in a Sea of Permission Settings (2014, background): “Several studies have examined usability issues related to the permission interface displayed to users as they download Android apps [5-7].”
Nudges for Privacy and Security (2017, background): “Similarly, Kelley et al. [2013] found that privacy information displayed in a simulated mobile app store inﬂuenced the selection of apps that study participants would download.”
ContexloT: Towards Providing Contextual Integrity to Appified IoT Platforms (2017, background): “For example, one of our constructed malicious SmartApp show how an attacker can surreptitiously spy on the daily life of house owner if the user installed the malware disguised as normal surveillance camera app.”
The privacy paradox - Investigating discrepancies between expressed privacy concerns and actual online behavior - A systematic literature review (2017, background): “…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.”
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].”
Expectation and purpose: understanding users' mental models of mobile app privacy through crowdsourcing (2012, background): “Several studies have examined usability issues related to the permission interface displayed to users as they download Android apps [5-7].”
Your Location has been Shared 5,398 Times!: A Field Study on Mobile App Privacy Nudging (2015, background): “However, most related work has focused on supporting the app installation process by nudging users towards less privacy-invasive apps [8, 17, 25].”