A Privacy-Focused Systematic Analysis of Online Status Indicators
Proceedings on Privacy Enhancing Technologies ; 2020 (3):384–403 Camille Cobb*, Lucy Simko, Tadayoshi Kohno, and Alexis Hiniker A Privacy-Focused Systematic Analysis of Online Status Indicators Abstract: Online status indicators (or OSIs, i.e., inter- face elements that communicate whether a user is on- line) can leak potentially sensitive information about users. In this work, we analyze 184 mobile applications to systematically characterize the existing design space of OSIs. We identified 40 apps with OSIs across a vari- ety of genres and conducted a design review of the OSIs in each, examining both Android and iOS versions of these apps. We found that OSI design decisions clus- tered into four major categories, namely: appearance, audience, settings, and fidelity to actual user behavior. Less than half of these apps allow users change the de- Fig. 1. OSIs can contain one or more abstract components: an fault settings for OSIs. Informed by our findings, we icon, text, and other contextual cues. Each component can as- sume a specific color, relative location, and/or location within the discuss: 1) how these design choices support adversar- app. ial behavior, 2) design guidelines for creating consistent, privacy-conscious OSIs, and 3) a set of novel design con- cepts for building future tools to augment users’ ability 1 Introduction to control and understand the presence information they broadcast. By connecting the common design patterns Online Status Indicators (OSIs) are user interface we document to prior work on privacy in social tech- (UI) elements that automatically broadcast information nologies, we contribute an empirical understanding of about when a user comes online or goes offline.
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