Cooperative Privacy and Security: Learning from People with Visual Impairments and Their Allies

Authors: 

Jordan Hayes, Smirity Kaushik, Charlotte Emily Price, and Yang Wang, Syracuse University

Abstract: 

To better inform privacy/security designs for people with disabilities, we “shadowed” people with visual impairments and their allies (e.g., friends, family members, and professional helpers) for two days followed by an exit interview. Our study results provide rich and nuanced accounts of how people with visual impairments enact their privacy/security in daily life, influenced by both their interactions with their allies and multiple (marginalized) dimensions of their identities such as different disabilities. We also found that people with visual impairments often work closely with their allies to protect their privacy and security in a cooperative manner. However, they were also thoughtful about who they would ask for help in part due to privacy reasons, even if they are trustworthy family members. We discuss ideas for future research and design, particularly a need for designing mechanisms or tools that facilitate cooperative privacy management (e.g., between people with visual impairments and their allies).

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

BibTeX
@inproceedings {238293,
author = {Jordan Hayes and Smirity Kaushik and Charlotte Emily Price and Yang Wang},
title = {Cooperative Privacy and Security: Learning from People with Visual Impairments and Their Allies},
booktitle = {Fifteenth Symposium on Usable Privacy and Security (SOUPS 2019)},
year = {2019},
isbn = {978-1-939133-05-2},
address = {Santa Clara, CA},
pages = {1--20},
url = {https://www.usenix.org/conference/soups2019/presentation/hayes},
publisher = {USENIX Association},
month = aug
}

Presentation Video