My thesis explores how people experience privacy when using everyday technologies such as fitness trackers, smart speakers, and home security cameras. These devices collect significant amounts of personal data, yet many users struggle to understand what is being collected or how to control it. To address this, I designed and evaluated various privacy design artifacts. Some are operational, such as physical camera covers, and others are propositional, such as speculative scenarios that encourage reflection. I also developed a framework that helps researchers analyze how these artifacts influence users’ pragmatic and hedonic experiences with privacy. 

The findings can benefit several groups. Technology companies developing smart devices can use these insights to design products that foster greater trust and transparency. Designers and researchers in human-computer interaction (HCI) can build on this work to create more user-friendly and privacy-conscious systems. Policymakers can also find the results useful, as 
they reveal how people perceive and respond to privacy risks in their daily lives. Ultimately, this research supports everyday users, especially those who feel overwhelmed or disempowered when trying to manage their digital privacy. 

These results can be applied in multiple ways. For instance, smart technologies can be designed with clearer indicators when data is being recorded or with simpler privacy settings to enhance user control. The speculative artifacts developed through this work can help raise awareness by making invisible data flows more understandable. Additionally, the framework introduced in the thesis can guide future research and inform policy development, encouraging approaches to privacy that are not only technically effective but also emotionally and experientially meaningful for users.