TY - GEN
T1 - Understanding How to Inform Blind and Low-Vision Users about Data Privacy through Privacy Question Answering Assistants
AU - Feng, Yuanyuan
AU - Ravichander, Abhilasha
AU - Yao, Yaxing
AU - Zhang, Shikun
AU - Chen, Rex
AU - Wilson, Shomir
AU - Sadeh, Norman
N1 - Publisher Copyright:
© USENIX Security Symposium 2024.All rights reserved.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85205029062
UR - https://www.scopus.com/pages/publications/85205029062#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:85205029062
T3 - Proceedings of the 33rd USENIX Security Symposium
SP - 2065
EP - 2082
BT - Proceedings of the 33rd USENIX Security Symposium
PB - USENIX Association
T2 - 33rd USENIX Security Symposium, USENIX Security 2024
Y2 - 14 August 2024 through 16 August 2024
ER -