Are You Comfortable Sharing It?: Leveraging Image Obfuscation Techniques to Enhance Sharing Privacy for Blind and Visually Impaired Users
🤖 AI Summary
This study addresses the significant privacy risks faced by blind and visually impaired users when sharing images, as their inability to preview visual content may lead to unintentional disclosure of sensitive information. For the first time, it systematically evaluates the usability and acceptability of various image obfuscation techniques—such as Gaussian blur and pixelation—among this population. Through a user study involving 20 visually impaired participants, the research examines preferences across different image types and sharing contexts. Findings reveal that pixelation is the least preferred method, while acceptance of other filters varies depending on content and intended audience. Appropriately applied obfuscation techniques significantly enhance users’ willingness to share and their psychological comfort, leading to the proposal of design guidelines for privacy-preserving image sharing tailored to visually impaired individuals.
Application Category
📝 Abstract
People with Blind Visual Impairments (BVI) face unique challenges when sharing images, as these may accidentally contain sensitive or inappropriate content. In many instances, they are unaware of the potential risks associated with sharing such content, which can compromise their privacy and interpersonal relationships. To address this issue, we investigated image filtering techniques that could help BVI users manage sensitive content before sharing with various audiences, including family, friends, or strangers. We conducted a study with 20 BVI participants, evaluating different filters applied to images varying in sensitivity, such as personal moments or embarrassing shots. Results indicated that pixelation was the least preferred method, while preferences for other filters varied depending on image type and sharing context. Additionally, participants reported greater comfort when sharing filtered versus unfiltered images across audiences. Based on the results, we offer a set of design guidelines to enhance the image-sharing experience for BVI individuals.
Problem
Research questions and friction points this paper is trying to address.
image sharing
privacy
blind and visually impaired users
sensitive content
image obfuscation
Innovation
Methods, ideas, or system contributions that make the work stand out.
image obfuscation
privacy enhancement
blind and visually impaired users
accessible sharing
user-centered design
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