论文标题
滚动测试：评估滚动速度和准确性
ScrollTest: Evaluating Scrolling Speed and Accuracy
论文作者
论文摘要
滚动是一种必不可少的互动技术，使用户能够显示以前的屏幕外内容。现有的滚动评估模型通常与内容的选择，例如在手机上滚动以进行阅读时。此外，一些评估模型忽略了用户是否知道目标位置。我们已经开发了ScrollTest，这是一种通用评估工具，用于滚动速度和准确性，避免了选择的需求。我们在四个维度上对其进行了测试：11种不同的滚动技术/设备，5帧高度，13个滚动距离和2个滚动条件（即或不知道目标位置）。结果表明，闪烁和两指滚动最快。闪烁对于滚动到已经在屏幕上的目标也相对精确，但是按滚动栏上的箭头按钮是最准确的滚动到附近目标。当目标位置未知时，滚动的数学模型是高度线性的，但是如Fitts的定律一样。
Scrolling is an essential interaction technique enabling users to display previously off-screen content. Existing evaluation models for scrolling are often entangled with the selection of content, e.g., when scrolling on the phone for reading. Furthermore, some evaluation models overlook whether the user knows the target position. We have developed ScrollTest, a general-purpose evaluation tool for scrolling speed and accuracy that avoids the need for selection. We tested it across four dimensions: 11 different scrolling techniques/devices, 5 frame heights, 13 scrolling distances, and 2 scrolling conditions (i.e., with or without knowing the target position). The results show that flicking and two-finger scrolling are the fastest; flicking is also relatively precise for scrolling to targets already onscreen, but pressing arrow buttons on the scrollbar is the most accurate for scrolling to nearby targets. Mathematical models of scrolling are highly linear when the target position is unknown but like Fitts' law when known.
