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首页> 外文期刊>International journal of human-computer interaction >Using Variable Dwell Time to Accelerate Gaze-Based Web Browsing with Two-Step Selection
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Using Variable Dwell Time to Accelerate Gaze-Based Web Browsing with Two-Step Selection

机译:使用可变停留时间通过两步选择来加速基于凝视的Web浏览

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摘要

In order to avoid the "Midas Touch" problem, gaze-based interfaces for selection often introduce a dwell time: a fixed amount of time the user must fixate upon an object before it is selected. Past interfaces have used a uniform dwell time across all objects. Here, we propose a gaze-based browser using a two-step selection policy with variable dwell time. In the first step, a command (e.g., "back" or "select") is chosen from a menu using a dwell time that is constant across the different commands. In the second step, if the "select" command is chosen, the user selects a hyperlink using a dwell time that varies between different hyperlinks. We assign shorter dwell times to more likely hyperlinks and longer dwell times to less likely hyperlinks. In order to infer the likelihood each hyperlink will be selected, we have developed a probabilistic model of natural gaze behavior while surfing the web. We have evaluated a number of heuristic and probabilistic methods for varying the dwell times using both simulation and experiment. Our results demonstrate that varying dwell time improves the user experience in comparison with fixed dwell time, resulting in fewer errors and increased speed. While all of the methods for varying dwell time resulted in improved performance, the probabilistic models yielded much greater gains than the simple heuristics. The best performing model reduces error rate by 50% compared to 100ms uniform dwell time while maintaining a similar response time. It reduces response time by 60% compared to 300ms uniform dwell time while maintaining a similar error rate.
机译:为了避免“ Midas Touch”问题,用于选择的基于凝视的界面通常会引入停留时间:用户必须先固定一定的时间,然后才能选择对象。过去的接口在所有对象上使用统一的驻留时间。在这里,我们提出了一种基于注视的浏览器,该浏览器使用具有可变停留时间的两步选择策略。在第一步中,使用在不同命令之间恒定的停留时间从菜单中选择命令(例如,“后退”或“选择”)。在第二步骤中,如果选择了“选择”命令,则用户使用在不同超链接之间变化的停留时间来选择超链接。我们将较短的停留时间分配给更可能的超链接,将较长的停留时间分配给不太可能的超链接。为了推断每个超链接将被选择的可能性,我们开发了一个在网上冲浪时自然凝视行为的概率模型。我们已经使用模拟和实验评估了许多启发式和概率方法来改变驻留时间。我们的结果表明,与固定停留时间相比,变化的停留时间可改善用户体验,从而减少错误并提高速度。尽管所有用于改变停留时间的方法都可以改善性能,但概率模型比简单的启发式方法产生了更大的收益。与100ms的均匀驻留时间相比,性能最佳的模型将错误率降低了50%,同时保持了相似的响应时间。与300ms的均匀驻留时间相比,它将响应时间减少了60%,同时保持了相似的错误率。

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