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· 2012

Android permissions

Adrienne Porter Felt, Elizabeth Ha, Serge Egelman, Ariel Haney et al.

Short summary

Only 17% of Android users pay attention to app permission requests during installation, and just 3% understand them well enough to answer comprehension questions, indicating the current system fails to effectively warn users of risks.

AI-generated from the title and abstract; the full text is not read.

Key points

  • 17% of Android users pay attention to app permission requests during installation.
  • Only 3% of users surveyed correctly answered all permission comprehension questions.
  • The current Android permission system does not effectively warn users about application risks.
  • A minority of users demonstrated awareness and reasonable comprehension of permission warnings.

AI-generated from the title and abstract; the full text is not read.

Abstract

Android's permission system is intended to inform users about the risks of installing applications. When a user installs an application, he or she has the opportunity to review the application's permission requests and cancel the installation if the permissions are excessive or objectionable. We examine whether the Android permission system is effective at warning users. In particular, we evaluate whether Android users pay attention to, understand, and act on permission information during installation. We performed two usability studies: an Internet survey of 308 Android users, and a laboratory study wherein we interviewed and observed 25 Android users. Study participants displayed low attention and comprehension rates: both the Internet survey and laboratory study found that 17% of participants paid attention to permissions during installation, and only 3% of Internet survey respondents could correctly answer all three permission comprehension questions. This indicates that current Android permission warnings do not help most users make correct security decisions. However, a notable minority of users demonstrated both awareness of permission warnings and reasonable rates of comprehension. We present recommendations for improving user attention and comprehension, as well as identify open challenges.

The authors' abstract, as published at the source., 2012 · DOI ↗

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Field: Signal Processing

Signal ProcessingComputer Science