虚拟手指点阅读行为:网站上鼠标光标移动的案例研究

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2022-08-28 DOI:10.1016/j.bdr.2022.100328
Ilan Kirsh
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引用次数: 1

摘要

近年来,网络分析发生了重大变化。作为大数据革命的一部分,频繁的低级用户操作,如鼠标移动和点击,经常用于现代网络分析。各种研究表明,当用户移动或点击鼠标时,鼠标光标的位置与眼睛在屏幕上注视的位置相对接近。因此,鼠标光标的位置可以表明用户对网页特定区域的关注和兴趣。这项研究的重点是鼠标移动的方向和速度,而不是鼠标光标的位置。对一个在线学习网站上的鼠标运动进行统计分析,揭示了几个有趣的模式。例如,在所检查的使用数据中,大多数鼠标移动要么近似水平移动,要么近似垂直移动,并且鼠标水平移动比垂直移动更频繁。此外,水平向左移动与水平向右移动在移动时间和速度上是不相等的。正如这项研究所显示的,这些统计结果与指针辅助阅读(PAR)有关,这是一种阅读行为,包括沿着句子移动鼠标光标(也称为鼠标指针),标记阅读位置,类似于读书时用手指指向。将鼠标移动与文本阅读联系起来可能会突出大多数用户倾向于跳过的内容,因此可能不会引起网站受众的兴趣,以及许多读者多次阅读或缓慢阅读的内容,这表明缺乏清晰性或模糊性。正如本文所讨论的那样,这可能有助于定位网站文本内容中的问题,特别是在在线学习和教育技术应用中。
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Virtual Finger-Point Reading Behaviors: A Case Study of Mouse Cursor Movements on a Website

Web analytics has changed significantly in recent years. As part of the big data revolution, frequent low-level user actions, such as mouse movements and clicks, are often used in modern web analytics. Various studies show that when a user moves or clicks the mouse, the position of the mouse cursor is relatively close to the position of the eye gaze on the screen. Accordingly, mouse cursor positions can indicate user attention and interest in specific areas of web pages. This study focuses on mouse movement directions and speeds rather than on mouse cursor positions. A statistical analysis of mouse movements on an online learning website, which was selected for this study, sheds light on several interesting patterns. For example, most mouse movements in the examined usage data are either approximately horizontal or approximately vertical, and horizontal mouse movements are more frequent than vertical mouse movements. Besides, horizontal movements to the left are not equivalent to horizontal movements to the right, in terms of moving time and speed. As this study shows, these statistical findings are related to Pointer Assisted Reading (PAR), a reading behavior consisting of moving the mouse cursor (also known as the mouse pointer) along sentences, marking the reading position, similarly to finger-pointing when reading a book. Associating mouse movements with text reading may potentially highlight content that most users tend to skip, and therefore, might not interest the website's audience, as well as content that many readers read more than once or slowly, suggesting a lack of clarity or ambiguity. As discussed in this paper, this could be useful in locating issues in the textual content of websites and especially in online learning and educational technology applications.

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自引率
4.30%
发文量
567
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