发表机构
University of Wisconsin-Madison（威斯康星大学麦迪逊分校）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文通过7天日记研究，探究移动AR应用NavSight在12名低视力人群户外导航中的真实使用情况，明确其效果、挑战及设计启示，为相关辅助AR系统提供依据。
AI 中文摘要
户外安全且独立的导航能力对低视力人群（PLV）而言至关重要却极具挑战性。尽管已设计并在理想实验室环境中评估了多种面向低视力的增强现实（AR）系统，但尚无研究调查其在真实场景中的可行性与挑战。本文提出NavSight，一款移动AR应用，通过识别重要户外物体（如路缘、车辆）并渲染实时视觉增强效果，辅助低视力人群进行户外导航。我们通过在真实场景中对12名低视力人群开展为期7天的日记式研究，分析了NavSight对场景感知的影响、用户在不同场景下对需增强的物体及其增强方式的配置策略、用户对识别错误的理解与应对方式，以及在公共场合使用NavSight的社会接受度。我们还确定了影响识别的环境因素，如天气状况、光照与阴影、非标准道路标记及纹理，以及日常使用中的可用性问题。我们探讨了这些真实场景挑战，并为未来面向户外使用的AI驱动辅助AR系统推导了设计启示。
英文摘要
The ability to navigate outdoors safely and independently is crucial yet challenging for people with low vision (PLV). While various augmented reality (AR) systems for low vision have been designed and evaluated in ideal lab environments, no research has investigated their real-world feasibility and challenges. We present NavSight, a mobile AR application that assists PLV in outdoor navigation by recognizing important outdoor objects (e.g., curb, vehicle) and rendering real-time visual augmentations. Through a seven-day diary study with 12 PLV in real-world settings, we characterize the impact of NavSight on scene perception, users' configuration strategies on what objects to augment and how to augment them across scenarios, how users made sense of and responded to recognition errors, and the social acceptability of using NavSight in public. We further identify environmental factors affecting recognition, such as weather conditions, lighting and shadows, and nonstandard road markings and textures, as well as usability issues in daily use. We discuss these real-world challenges and derive design implications for future AI-powered assistive AR systems for outdoor use.
Comments32 pages, 11 figures
DOI：10.1145/3857922
