Situational visual impairments (SVIs) hinder mobile readability, causing discomfort and limiting information access. Building on prior work in adaptive typography and accessibility, this paper presents SituFont, a context-aware and human-in-the-loop adaptive typography adjustment approach that enhances smartphone mobile readability by dynamically adjusting font parameters based on real-time contextual changes. Using smartphone sensors and a human-in-the-loop approach, SituFont personalizes text presentation to accommodate personal factors (e.g., fatigue, distraction) and environmental conditions (e.g., lighting, motion, location). To inform its design, we conducted formative interviews (N=15) to identify key SVI factors and controlled experiments (N=18) to quantify their impact on optimal text parameters. A comparative user study (N=12) across eight simulated SVI scenarios demonstrated SituFont's effectiveness in improving smartphone mobile readability in terms of improved efficiency and reduced workload compared with a non-trivial manual adjustment baseline.

翻译：情境性视觉障碍会阻碍移动设备的可读性，导致不适并限制信息获取。本文基于先前在自适应排版和可访问性方面的研究，提出了SituFont——一种情境感知且人机协同的自适应排版调整方法，该方法通过根据实时情境变化动态调整字体参数来增强智能手机的移动可读性。利用智能手机传感器和人机协同方法，SituFont能够个性化文本呈现，以适应个人因素（如疲劳、分心）和环境条件（如光照、运动、位置）。为指导其设计，我们进行了形成性访谈（N=15）以识别关键的情境性视觉障碍因素，并通过受控实验（N=18）量化了这些因素对最佳文本参数的影响。一项在八种模拟情境性视觉障碍场景下进行的对比用户研究（N=12）表明，与一个非平凡的基线手动调整方法相比，SituFont在提高智能手机移动可读性方面具有显著效果，具体体现在效率提升和工作负荷降低。