Proceedings ArticleDOI
Directions and Speeds of Mouse Movements on a Website and Reading Patterns: A Web Usage Mining Case Study
Ilan Kirsh
- pp 129-138
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TLDR
In this paper, the authors focused on mouse movement directions and speeds, and what they indicate, rather than on the mouse cursor position, and found that most mouse movements in the examined usage data are either approximately horizontal or approximately vertical, horizontal mouse movements are more frequent than vertical mouse movements, and horizontal movements to the left and to the right are not equivalent in terms of moving time and speed.Abstract:
Mouse activity is known as an important indicator of user attention and interest on a web page. Many modern commercial web analytics services record and report mouse activity of users on websites. The position of the mouse cursor on the screen is the main source of information, as studies show a correlation between the cursor position during mouse activity and the user's eye gaze. This study focuses on mouse movement directions and speeds, and what they indicate, rather than on the mouse cursor position. Statistical analysis of mouse movements on a technical-educational 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, horizontal mouse movements are more frequent than vertical mouse movements, and horizontal movements to the left and to the right are not equivalent in terms of moving time and speed. As this study shows, these statistical findings are related to the reading patterns and behaviors of web users. Associating mouse movements with text reading may potentially highlight content that most users tend to skip, and therefore, might not interest the website audience, and content that many readers read more than once or slowly, meaning it is possibly unclear. This could be useful in locating issues in textual content, in websites in general, and especially in online learning and educational technology applications.read more
Citations
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Proceedings ArticleDOI
Splitting the Web Analytics Atom: From Page Metrics and KPIs to Sub-Page Metrics and KPIs
Ilan Kirsh,Mike Joy +1 more
TL;DR: This paper discusses the potential and challenges of sub-page web analytics and defines a framework for calculatingSub-page metrics from accumulated in-page user activity data, such as mouse and keyboard events, and proposes potential KPIs that may be effective in highlighting the strengths and weaknesses of individual page parts,such as paragraphs.
Book ChapterDOI
Exploring Pointer Assisted Reading (PAR): Using Mouse Movements to Analyze Web Users’ Reading Behaviors and Patterns
Ilan Kirsh,Mike Joy +1 more
TL;DR: In this article, the authors explored pointer assisted reading (PAR), a reading behavior consisting of moving the mouse cursor (also known as the pointer) along sentences to mark the reading position, similarly to finger-pointing when reading a book.
Proceedings ArticleDOI
Using Mouse Movement Heatmaps to Visualize User Attention to Words
TL;DR: A new type of web page heatmap, the Word Attention Heatmap (WAH), is introduced, which visualizes user attention to text words based on mouse movements, which may help in identifying complex words and challenging sentences as part of a process of improving and simplifying textual web content.
Book ChapterDOI
Horizontal Mouse Movements (HMMs) on web pages as indicators of user interest
Ilan Kirsh,Mike Joy,Yoram Kirsh +2 more
TL;DR: In this paper, a particular pattern of mouse movements, Horizontal Mouse Movements (HMMs), consisting of series of mouse move events in the same horizontal direction, as indicators of users' current interest was investigated.
Journal ArticleDOI
Virtual Finger-Point Reading Behaviors: A Case Study of Mouse Cursor Movements on a Website
TL;DR: In this article , a statistical analysis of mouse movements on an online learning website, which was selected for this study, sheds light on several interesting patterns, such as: 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.
References
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Proceedings ArticleDOI
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Exploring How Mouse Movements Relate to Eye Movements on Web Search Results Pages
Kerry Rodden,Xin Fu +1 more
TL;DR: It is believed that mouse movements have most potential as a way to detect which results page elements the user has considered before deciding where to click.
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Shamsi T. Iqbal,Brian P. Bailey +1 more
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