Understanding How to Inform Blind and Low-Vision Users about Data Privacy through Privacy Question Answering Assistants
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a research presentation from USENIX Security '24 that investigates how blind and low-vision (BLV) users navigate data privacy challenges and interact with privacy question answering assistants. Learn about the findings from a qualitative study involving 21 US BLV participants, examining their perceptions of data privacy risks, mitigation strategies, and information-seeking behaviors. Discover insights into BLV users' unique accessibility needs and their expectations for privacy Q&A assistants, including requirements for cross-platform compatibility, multi-modal support, and robust functionality. Gain understanding of the heightened security and privacy risks faced by BLV users, their current limitations in risk mitigation, and the potential benefits of specialized privacy assistance tools. Examine critical considerations for usability, accessibility, trust, and equity in digital privacy solutions for visually impaired users.