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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.

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Citations
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Proceedings ArticleDOI

Survey on Smartphone Sensors and User Intent in Smartphone Usage

TL;DR: In this article , a review paper is based on the understanding of smartphone sensors and the inferences of user intent through it, which are based on various implicit indicators like mobile gestures, smartphone sensors, and clipboard copy operations.
Book ChapterDOI

Visualizing Customer Journeys: How to Illustrate the Entire Customer Interaction Universe of a Commercial Website in Real Time

TL;DR: In this paper, the authors describe a graph-based visualization showing the entirety of the website activities at a glance to increase the tangibility of customer behavior, the graph adapts to the website interactions in real time using smooth transitions from one state to another.
Proceedings ArticleDOI

Survey on Smartphone Sensors and User Intent in Smartphone Usage

TL;DR: In this paper , a review paper is based on the understanding of smartphone sensors and the inferences of user intent through it, which are based on various implicit indicators like mobile gestures, smartphone sensors, and clipboard copy operations.
Proceedings ArticleDOI

Web User Interaction Speed Study

TL;DR: In this paper, the authors present a study on the web users's speed by using recordings of real sessions to find how early this characteristic, measured in terms of mouse, scroll and keyboard speed, can be estimated.
References
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Proceedings ArticleDOI

Implicit interest indicators

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Proceedings ArticleDOI

What can a mouse cursor tell us more?: correlation of eye/mouse movements on web browsing

TL;DR: It is argued that a mouse could provide us more information than just the x, y position where a user is pointing, which implies that an inexpensive and extremely popular tool can be used as an alternative of eye-tracking systems, especially in web usability evaluation.
Proceedings ArticleDOI

User see, user point: gaze and cursor alignment in web search

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Journal ArticleDOI

Attention to Banner Ads and Their Effectiveness: An Eye-Tracking Approach

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Journal ArticleDOI

How many words do we read per minute? A review and meta-analysis of reading rate

TL;DR: This article found that the average silent reading rate for adults in English is 238 words per minute (wpm) for non-fiction and 260 wpm for fiction, and that the difference can be predicted by taking into account the length of the words, with longer words in nonfiction than in fiction.
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