IMPROVING USER COMPREHENSION AND CONTROL OF LOCAL DIFFERENTIAL PRIVACY THROUGH VISUAL INTERFACES
Keywords:
Local Differential Privacy (LDP), User Experience (UX), Visual Controls, Internet of Things (IoT)Abstract
The pervasive deployment of Internet of Things (IoT) devices, particularly in smart homes, has amplified concerns regarding user privacy. While Local Differential Privacy (LDP) offers a robust framework for preserving individual data privacy, its inherent mathematical complexity often renders it opaque to end-users, hindering effective privacy management. This article proposes and explores the design of intuitive visual controls aimed at enhancing user comprehension and control over LDP mechanisms. By translating abstract privacy parameters into tangible, interactive visual elements, we aim to bridge the gap between technical privacy guarantees and user expectations. This approach fosters a more user-centric privacy paradigm, empowering individuals to make informed decisions about their data sharing in connected environments.
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