Understanding end-users' privacy perceptions, concerns, behaviors, and needs in the smart home

Smart homes are more connected than ever before, with a variety of commercial internet of things devices available. The use of these devices introduces new security and privacy risks in the home and needs for helping users to understand and mitigate those risks by providing them some level of control over their data. For doing so, it is necessary to have a thorough understanding of smart home users' security and privacy perceptions, behaviors, preferences, and needs.
My thesis aims to investigate the current state of end-user knowledge of smart home device data practices, available privacy controls, and their security and privacy concerns and behaviors. I have utilized different research methods throughout this exploration, including semi-structured interviews, surveys, and experience sampling studies. The contributions of this dissertation are: 1) it uncovers several factors that contribute to the privacy perceptions, concerns, and behaviors of smart home users, 2) it provides in-depth analysis of the current interface support (or lack thereof) to address end-user privacy needs, and finally 3) it contributes several design guidelines to empower users with their privacy in the smart home.