Coral：面向盲人和低视力屏幕阅读器用户理解动态用户界面的上下文要点
Coral: Contextual Gists for Blind and Low Vision Screen Reader Users' Understanding of Dynamic User Interfaces
- Harvard University（哈佛大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究针对盲人和低视力屏幕阅读器用户理解动态界面的困难，提出上下文感知浏览器扩展Coral，通过综合界面与用户上下文生成叙述性要点，减少用户验证交互的时间与精力，提升UI理解效率。
AI中文摘要：
盲人和低视力（BLV）屏幕阅读器用户通过逐步的屏幕阅读器交互来构建用户界面（UI）的心理模型，这一过程耗时且认知负担重，而现代界面可能无法以无障碍方式传达动态内容，使问题更加复杂。我们访谈了十一位BLV屏幕阅读器用户，了解他们对UI的理解，并据此得出设计目标，进而开发了Coral——一款上下文感知的浏览器扩展。Coral综合界面与用户上下文，生成由屏幕阅读器叙述的要点，整体性地告知用户与其可能目标及当前交互相关的界面状态和变化。在一项包含八位BLV屏幕阅读器用户的比较评估中，参与者使用Coral形成初始预期并解读界面变化，并表示花费更少时间和精力手动验证交互结果。综合来看，我们的研究结果深入揭示了BLV屏幕阅读器用户如何弥合UI理解中的空白，以及结合界面与用户上下文的智能支持如何填补这些空白。
英文摘要：
Blind and low vision (BLV) screen reader users construct mental models of user interfaces (UIs) through incremental screen reader interaction, a time-consuming and cognitively demanding process complicated by modern interfaces that may not convey dynamic content accessibly. We interviewed eleven BLV screen reader users about UI understanding and derived design objectives that informed Coral, a context-aware browser extension. Coral synthesizes interface and user context to generate screen reader-narrated gists which holistically notify users of interface states and changes relevant to their likely goals and ongoing interaction. In a comparative evaluation with eight BLV screen reader users, participants used Coral to form initial expectations and interpret interface changes, and reported spending less time and effort manually verifying interaction outcomes. Together, our findings provide deeper insight into how BLV screen reader users navigate gaps in their UI understanding, and how intelligent support that combines interface and user context can bridge these gaps.
