盲人用生成式AI看世界，但隐私怎么保？
"Before, I Asked My Mom, Now I Ask ChatGPT": Visual Privacy Management with Generative AI for Blind and Low-Vision People
- 通过21人访谈，发现盲人用AI看图时的六类隐私场景
- 用户希望本地处理、不存数据、自动删敏感内容
- 设计建议包括触觉反馈、隐私提示、可控分享
视障人士在日常生活中使用生成式AI（GenAI）工具解读和管理视觉内容。尽管这些工具能提升视觉信息的可访问性并增强独立性，但也带来了复杂的视觉隐私挑战。本文通过21名视障人士的访谈研究，探讨了当前使用实践与未来设计偏好。研究发现，用户在自呈现、室内外空间隐私、社交分享及职业内容处理等六类关键场景中权衡隐私、效率与情感自主性。设计偏好包括本地化处理、零数据留存、敏感内容自动剔除、隐私感知的视觉提示以及多模态触觉镜像交互方式。文章提出具体设计建议，推动以用户为中心的视觉隐私保护，扩展对隐私和他人数据负责任处理的理解。
原文摘要 · Abstract (English)
Blind and low vision (BLV) individuals use Generative AI (GenAI) tools to interpret and manage visual content in their daily lives. While such tools can enhance the accessibility of visual content and so enable greater user independence, they also introduce complex challenges around visual privacy. In this paper, we investigate the current practices and future design preferences of blind and low vision individuals through an interview study with 21 participants. Our findings reveal a range of current practices with GenAI that balance privacy, efficiency, and emotional agency, with users accounting for privacy risks across six key scenarios, such as self-presentation, indoor/outdoor spatial privacy, social sharing, and handling professional content. Our findings reveal design preferences, including on-device processing, zero-retention guarantees, sensitive content redaction, privacy-aware appearance indicators, and multimodal tactile mirrored interaction methods. We conclude with actionable design recommendations to support user-centered visual privacy through GenAI, expanding the notion of privacy and responsible handling of others data.
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