Privacy

Related Faculty

Professor
Climate informatics; biosensory computing; incentive-centered design
Professor
privacy, fairness, human rights, cybersecurity, technology and governance, values in design, public interest tech

Recent Publications

When you go to a new healthcare clinic in the United States, doctors and nurses pull up your patient record based on your name and birthdate.  Sometimes it’s not your chart they pull up.  This is not only a healthcare problem; it’s a data science problem.

This paper reviews HCI research on privacy and design to discuss how utilizing a broader range of design methods from HCI can help support “privacy by design” efforts.

What can machines know about the mind? This dissertation seeks to understand people’s beliefs about this question: how these beliefs affect and arise from interactions with digital sensors, from prior beliefs about the mind and the body; and how these beliefs may shape the design of technical systems in the future.

The purpose of this dissertation is twofold. First, it surfaces that the boundary between sensing bodies and sensing minds is unstable, deeply entangled with social context and beliefs about the body and mind. Second, it proposes the porousness of this boundary as a site for studying the role that biosensing devices will play in near future. As biosensors creep into smart watches, bands, and ingestibles, their ability to divine not just what these bodies do, but what they think and feel, presents an under-explored avenue for understanding and imagining how thesetechnologies will come to matter in the course of life.