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User-Centric Privacy: Designing Effective Protections that Meet Users’ Needs

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Date and Time

December 17, 2020 @ 1:00 pm - 2:00 pm EST

Event Category

Web Conference


Candice Benson


Lisa O'Connell


Privacy engineering aims to respect and protect user privacy. In order to ensure that privacy protections actually meet people’s privacy needs it is important to understand those needs, concerns and expectations and build privacy into systems with a user-centric perspective. This session will draw on the speaker's research regarding privacy notices and controls online, on smartphones and with smart speakers to discuss how and why privacy controls are often misaligned with user needs and how we can design privacy for users instead of past them. It will also examine how user studies can inform the design of user-centric privacy protections to more effectively meet user needs, as well as benefit companies.


Janelle Hsia – Principal, Privacy SWAN Consulting

Janelle Hsia is a trusted advisor for strategic and tactical decision-making within organizations of all sizes.  She focuses on privacy and security while bringing a diverse background in leadership, business, security, privacy, and technology spanning over 20 years.  Her experience integrating privacy with security and technology helps companies operationalize their privacy and security requirements.  She creates comprehensive and tailored data governance programs for SMBs with a global presence.  Her passion is privacy and data protection training and awareness.  This fall, she is teaching a class on Privacy and Technology at the University of Colorado in Boulder.    She is an ISSA Privacy SIG Tri-Chair and one of our 2022 Volunteers of the Year.  She is a member of the IEEE Digital Privacy Working Group and an IAPP Official Training Partner. She holds the following certifications CIPM, CIPT, CIPP/US/E, CISA, PMP, and GSLC.

See Janelle Hsia‘s full profile.


Florian Schaub

Florian Schaub is an assistant professor of Information and of Electrical Engineering and Computer Science at the University of Michigan. His research focuses on investigating and supporting people’s privacy and security behavior and decision making in complex socio-technical systems. His research interests span privacy, human-computer interaction, and emergent technologies. Schaub holds a doctoral degree in Computer Science from the University of Ulm, Germany, and was a postdoctoral fellow in Carnegie Mellon University’s School of Computer Science. His research has been honored with the 2019 Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies, and with best paper awards at the ACM SIGCHI Conference on Human Factors in Computing and the Symposium on Usable Privacy and Security (SOUPS). Schaub is a steering committee member for the USENIX Conference on Privacy Engineering Practice and Respect (PEPR). He is a recipient of a DARPA Young Faculty Award.

See Florian Schaub‘s full profile.

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