Human-Centered Privacy in Intelligent Environments
MCML Authors
Maximiliane Windl
Abstract
Maximiliane Windl
Abstract
This dissertation investigates how people perceive and manage privacy risks in intelligent, sensor-rich environments such as smart homes, augmented reality, and domestic robots. It combines large-scale user studies with the design and evaluation of human-centered privacy mechanisms, including consent frameworks, privacy labels, tangible interfaces, and a cross-ecosystem privacy hub. The work introduces a conceptual model of privacy concerns and a practical design playbook, aiming to make privacy management seamless, usable, and aligned with everyday life. (Shortened).
BibTeXKey: Win25