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Making Better Privacy Decisions in Ubiquitous Computing Environments

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Abstract: The advent of the smartphone and commercially viable wearable devices has heralded in an era of unprecedented access to rich user data. This has allowed third-party applications to innovate by supporting new interaction modalities, better integrating with users’ lifestyles, and making relevant information more accessible. At the same time, the abundance of personal data presents very real privacy risks. In this talk, I discuss previous and ongoing research to help users make more informed choices about how their personal data is accessed on ubiquitous computing platforms. I present previous research on smartphone platforms that has provided insights into users’ behaviors and preferences, as well as how to design systems for future wearable devices that empower users to make better privacy decisions.

Bio: Serge Egelman is a research scientist with joint appointments in the International Computer Science Institute (ICSI) and the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. His research focuses on usable privacy and security, with the specific aim of better understanding how people make decisions surrounding their privacy and security, and then creating improved interfaces that better align stated preferences with outcomes. This has included human subjects research on social networking privacy, access controls, authentication mechanisms, web browser security warnings, and privacy-enhancing technologies. He received his PhD from Carnegie Mellon University and prior to that was an undergraduate at the University of Virginia. He has also performed research at NIST , Brown University, Microsoft Research, and Xerox PARC .

This talk is part of the Computer Laboratory Security Seminar series.

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