Content-aware kinetic scrolling for supporting web page navigation

Juho Kim, Amy X. Zhang, Jihee Kim, Rob Miller, Krzysztof Z Gajos
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引用次数: 13

Abstract

Long documents are abundant on the web today, and are accessed in increasing numbers from touchscreen devices such as mobile phones and tablets. Navigating long documents with small screens can be challenging both physically and cognitively because they compel the user to scroll a great deal and to mentally filter for important content. To support navigation of long documents on touchscreen devices, we introduce content-aware kinetic scrolling, a novel scrolling technique that dynamically applies pseudo-haptic feedback in the form of friction around points of high interest within the page. This allows users to quickly find interesting content while exploring without further cluttering the limited visual space. To model degrees of interest (DOI) for a variety of existing web pages, we introduce social wear, a method for capturing DOI based on social signals that indicate collective user interest. Our preliminary evaluation shows that users pay attention to items with kinetic scrolling feedback during search, recognition, and skimming tasks.
支持网页导航的内容感知动态滚动
如今,长文档在网络上随处可见,而且越来越多的人通过手机和平板电脑等触屏设备访问这些文档。在小屏幕上浏览长文档在身体上和认知上都是一个挑战,因为它们迫使用户大量滚动,并在心理上过滤重要的内容。为了在触摸屏设备上支持长文档的导航,我们引入了内容感知的动态滚动,这是一种新颖的滚动技术,它以页面中高兴趣点周围摩擦的形式动态应用伪触觉反馈。这允许用户在探索的同时快速找到有趣的内容,而不会进一步扰乱有限的视觉空间。为了对各种现有网页的兴趣度(DOI)建模,我们引入了社会磨损,这是一种基于表明集体用户兴趣的社会信号捕获DOI的方法。我们的初步评估表明,在搜索、识别和略读任务中,用户会关注带有动态滚动反馈的项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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