论文标题
反流:通过基于像素的改进,自动改善移动应用程序中的触摸交互
Reflow: Automatically Improving Touch Interactions in Mobile Applications through Pixel-based Refinements
论文作者
论文摘要
触摸是用户与智能手机交互的主要方式。但是,构建移动用户界面,其中触摸交互对所有用户都很好地工作是一个困难的问题,因为用户具有不同的功能和偏好。我们提出了一个系统的回流,该系统会自动应用小型的个性化UI改编(称为改进),以提高移动应用程序屏幕以提高触摸效率。 Reflow使用基于像素的策略来处理现有应用程序,并提高触摸效率,同时最小化了原始应用程序的设计意图。我们的系统通过(i)从屏幕截图中提取其布局,(ii)完善其布局以及(iii)重新渲染UI以反映这些修改。我们对10名参与者进行了一项用户研究,并与6位专家进行了启发式评估,发现通过反流优化的应用程序平均导致选择时间更快9%,而布局中断最小。结果表明,回流的改进有用的UI适应以改善触摸相互作用。
Touch is the primary way that users interact with smartphones. However, building mobile user interfaces where touch interactions work well for all users is a difficult problem, because users have different abilities and preferences. We propose a system, Reflow, which automatically applies small, personalized UI adaptations, called refinements -- to mobile app screens to improve touch efficiency. Reflow uses a pixel-based strategy to work with existing applications, and improves touch efficiency while minimally disrupting the design intent of the original application. Our system optimizes a UI by (i) extracting its layout from its screenshot, (ii) refining its layout, and (iii) re-rendering the UI to reflect these modifications. We conducted a user study with 10 participants and a heuristic evaluation with 6 experts and found that applications optimized by Reflow led to, on average, 9% faster selection time with minimal layout disruption. The results demonstrate that Reflow's refinements useful UI adaptations to improve touch interactions.