Workshop On Privacy Indicators

Call for Papers

Towards the Establishment of a Standard Set of Privacy Indicators

Conveying privacy information to users is challenging. Privacy policies are not easy to understand and frequently go unread.  In addition, policies may not address consumers’ needs or concerns. The literature shows that privacy icons have also fallen short. Yet, many users express privacy concerns and wish to understand the privacy attributes of applications, devices, and tools.

Goals

This workshop aims to document the current state of privacy indicators. Privacy indicators are mechanisms that indicate how personal data is handled. Examples of common privacy indicators include written privacy policies, privacy seals, icons, notices, tones, strobe lights, scents, vibrations, or other perceptual means. We will collect information about indicators  currently in use and discuss what works and what does not, with the eventual goal of creating guidance and standards for the design of effective privacy indicators.

Bring Us Your Papers, Your Ideas, and Your Privacy Indicators!

Scope and Focus

The workshop seeks original submissions that fall under any of the following categories:

1. Short papers describing original research (ongoing or outcomes)

2. Literature reviews of any length (please indicate if the review is a work-in-progress or finished work)

3. Presentations documenting indicators currently in use.

Position papers not backed by research are discouraged.

Topics of potential interest include (but are not limited to):

• Effectiveness of current privacy indicators

• Weaknesses of current privacy indicators
• Case studies of privacy indicators

• Analyses comparing privacy indicators
• Requirements for information privacy indicators should be provide to the end user
• Descriptions of system implementations and prototypes of novel privacy indicator designs

• Methods to evaluate the effectiveness of privacy indicators


Workshop papers will be selected by the workshop organizers and made available on the USENIX website. Accepted workshop papers will not be considered archival peer-reviewed publications from the perspective of SOUPS and would not preclude subsequent publication at another venue. Authors of accepted papers should be prepared to present their work at the workshop.

Submission Instructions

Submissions should use the SOUPS 2-column formatting template (available for MS Word or LaTeX). Short Papers should be 2 to 6 pages in length, excluding references and appendices. Literature reviews are not restricted in length. The paper should be self-contained without requiring the reader to read the appendices. Data sets should be accompanied by a pointer for accessing the data. Presentations may be in any format playable on Macintosh or Windows, including PDF, PPT, Web sites, or video. All submissions must be in PDF format and should not be blinded. Please email your submissions to: privacy-indicators-workshop1@googlegroups.com. Camera-ready versions of accepted submissions will be posted online and distributed to workshop attendees.

Important Dates

• Workshop paper submission deadline: Thursday, May 19, 2016 Deadline extended!
• Notification of workshop paper acceptance: Friday, May 27, 2016
• Camera ready workshop papers due: Sunday, June 5, 2016
• Workshop date: Wednesday, June 22, 2016

Organizing Committee and Reviewers

Simson L. Garfinkel, National Institute of Standards and Technology (NIST)*
Mary Theofanos, National Institute of Standards and Technology (NIST)*
Patrick Gage Kelley, University of New Mexico*
Jen King, University of California, Berkeley*
Bart Knijnenburg, Clemson University*
Sameer Patil, New York University*
Florian Schaub, Carnegie Mellon University*
Deirdre Mulligan, University of California, Berkeley
Nick Doty, University of California, Berkeley
Heather Lipford, University of North Carolina, Charlotte
(* indicates member of the organizing committee)

Bios of the Organizers

Simson L. Garfinkel is a Computer Scientist at the National Institute of Standards and Technology's Information Access Division. Garfinkel's research interests include digital forensics, usable security, data fusion, information policy and terrorism. He holds seven US patents for his computer-related research. He is an ACM Fellow and an IEEE Senior Member as well as a member of the National Association of Science Writers.

Mary Theofanos is a Computer Scientist at the National Institute of Standards and Technology where she is the program manager of the Industry Usability Reporting Project developing standards for usability.  She is a member of ISO/IEC JTC 1 SC7 and the Co‐convener of the SC7/TC 159/SC4 Joint Working Group. She is the principal architect of the Usability and Security Program evaluating the human factors and usability of cyber security and biometric systems.

Patrick Gage Kelley is an Assistant Professor of Computer Science at the University of New Mexico. His research centers on privacy, visualization, media, and the influence of technology on culture. His research is funded by the National Science Foundation and a Google Research Award. He plays in new media arts and information visualization, once with CMU’s STUDIO for Creative Inquiry. He teaches and speaks on ethical issues in computing and works with ACM SIGCHI as chair for Media+Brand.

Jennifer King is a Ph.D. candidate in Information Science at the University of California, Berkeley School of Information, where her research focuses on information privacy, employing both qualitative and quantitative methods to explore what users understand and expect. Her dissertation research focuses on the disclosure relationships users form with companies, their corresponding expectations of privacy, and the influence of assurance structures on these relationships.

Bart P. Knijnenburg is an Assistant Professor in Human-Centered Computing at the Clemson University School of Computing. He holds a B.S. in Innovation Sciences and an M.S. in Human-Technology Interaction from the Eindhoven University of Technology, the Netherlands, an M.A. in Human-Computer Interaction from Carnegie Mellon University, and a Ph.D. in Information and Computer Sciences from University of California, Irvine. Dr. Knijnenburg works on privacy decision-making and user-centric evaluation of adaptive systems and has led trailblazing efforts in the development of user-tailored privacy. In 2013, he was the recipient of the first Google Ph.D. Fellowship in Privacy.

Sameer Patil is an Assistant Research Professor in the Department of Computer Science and Engineering at New York University's Tandon School of Engineering. Patil's research focuses on understanding user privacy expectations and designing system mechanisms that empower users to fulfill those expectations.

Florian Schaub is a postdoctoral fellow in the School of Computer Science at Carnegie Mellon University. His research is focused on empowering users to effectively manage their privacy in complex socio-technological systems. His research interests span privacy, human-computer interaction, mobile and ubiquitous computing, and the Internet of Things.