本质却常被忽视：政府服务中盲人和低视力人群的身份验证障碍
Essential, Yet Overlooked: Identity Verification Barriers for Blind and Low Vision People in Government Services
AI总结：
研究探讨了政府服务中盲人和低视力人群在身份验证中的障碍，通过混合方法研究揭示了现有系统在数字和线下验证流程中的可访问性问题，并指出AI在提升可及性的同时也带来身份欺诈风险。
摘要：
身份验证是获取政府服务和公共福利的关键入口，但当前系统通常基于视觉交互设计，使盲人和低视力（BLV）个体面临不成比例的负担。本文通过分析219个Reddit帖子和16名BLV参与者半结构化访谈，揭示了数字和线下验证流程中的系统性可访问性问题。研究发现，不可用的验证流程不仅给用户带来不便，还重构了实际安全性的实现方式。同时，参与者表达了对AI的复杂看法，将其视为关键的可及性工具和身份欺诈的潜在来源。
英文摘要：
Identity verification is a critical gateway to accessing government services and public benefits, yet contemporary systems are typically designed around visual interaction, leaving blind and low vision (BLV) individuals disproportionately burdened. In this work, we examine how BLV users navigate identity verification in government services and how current designs shape their access, security, and autonomy. Through a mixed methods study combining analysis of 219 Reddit posts and semi-structured interviews with 16 BLV participants, we uncover systemic accessibility breakdowns across both digital and in person verification processes. Our findings show that inaccessible verification workflows do not merely inconvenience users, they restructure how security is achieved in practice. We also identify how repeated verification demands, inaccessible physical infrastructure, and policy changes exacerbate exclusion from essential services. At the same time, participants articulate complex perspectives on AI, viewing it as both a critical accessibility aid and a growing vector for identity fraud.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
