Designing a Choice Architecture for Mobile Device Privacy and Security
- Serge Egelman | UC Berkeley
Smartphones offer advanced hardware and software features that allow developers to design feature-rich applications. But with great power comes great responsibility: untrustworthy smartphone applications have the ability to access personal information, damage hardware, or even incur charges on a user’s phone bill. To mitigate these risks, several smartphone platforms feature permission-granting interfaces in order to facilitate a notice and consent process: the user can see what abilities an application is requesting and then must explicitly approve the requests. In this talk, I describe several experiments I have performed to examine whether or not smartphone users currently understand these permissions interfaces, whether or not they consider them as part of a larger decision to install a particular application, and how the architecture of this notice and consent process can be improved.
Speaker Details
Serge is a postdoctoral researcher at the University of California, Berkeley. His research focuses on usable 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
-
-
Jeff Running
-
Series: Microsoft Research Talks
-
Decoding the Human Brain – A Neurosurgeon’s Experience
- Dr. Pascal O. Zinn
-
-
-
-
-
-
Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
- Hanuma Kodavalla,
- Phil Bernstein
-
Improving text prediction accuracy using neurophysiology
- Sophia Mehdizadeh
-
Tongue-Gesture Recognition in Head-Mounted Displays
- Tan Gemicioglu
-
DIABLo: a Deep Individual-Agnostic Binaural Localizer
- Shoken Kaneko
-
-
-
-
Audio-based Toxic Language Detection
- Midia Yousefi
-
-
From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
- Forrest Iandola,
- Sujeeth Bharadwaj
-
Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
- Ashique Khudabukhsh
-
-
-
Towards Mainstream Brain-Computer Interfaces (BCIs)
- Brendan Allison
-
-
-
-
Learning Structured Models for Safe Robot Control
- Subramanian Ramamoorthy
-