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Understanding How to Inform Blind and Low-Vision Users about Data Privacy through Privacy Question Answering Assistants

  • Yuanyuan Feng
  • , Abhilasha Ravichander
  • , Yaxing Yao
  • , Shikun Zhang
  • , Rex Chen
  • , Shomir Wilson
  • , Norman Sadeh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Understanding and managing data privacy in the digital world can be challenging for sighted users, let alone blind and low-vision (BLV) users. There is limited research on how BLV users, who have special accessibility needs, navigate data privacy, and how potential privacy tools could assist them. We conducted an in-depth qualitative study with 21 US BLV participants to understand their data privacy risk perception and mitigation, as well as their information behaviors related to data privacy. We also explored BLV users' attitudes towards potential privacy question answering (Q&A) assistants that enable them to better navigate data privacy information. We found that BLV users face heightened security and privacy risks, but their risk mitigation is often insufficient. They do not necessarily seek data privacy information but clearly recognize the benefits of a potential privacy Q&A assistant. They also expect privacy Q&A assistants to possess cross-platform compatibility, support multi-modality, and demonstrate robust functionality. Our study sheds light on BLV users' expectations when it comes to usability, accessibility, trust and equity issues regarding digital data privacy.

Original languageEnglish (US)
Title of host publicationProceedings of the 33rd USENIX Security Symposium
PublisherUSENIX Association
Pages2065-2082
Number of pages18
ISBN (Electronic)9781939133441
StatePublished - 2024
Event33rd USENIX Security Symposium, USENIX Security 2024 - Philadelphia, United States
Duration: Aug 14 2024Aug 16 2024

Publication series

NameProceedings of the 33rd USENIX Security Symposium

Conference

Conference33rd USENIX Security Symposium, USENIX Security 2024
Country/TerritoryUnited States
CityPhiladelphia
Period8/14/248/16/24

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Safety, Risk, Reliability and Quality

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