Proceedings ArticleDOI
Knowing the user's every move: user activity tracking for website usability evaluation and implicit interaction
Richard Atterer,Monika Wnuk,Albrecht Schmidt +2 more
- pp 203-212
TLDR
This paper investigates how detailed tracking of user interaction can be monitored using standard web technologies to enable implicit interaction and to ease usability evaluation of web applications outside the lab.Abstract:
In this paper, we investigate how detailed tracking of user interaction can be monitored using standard web technologies. Our motivation is to enable implicit interaction and to ease usability evaluation of web applications outside the lab. To obtain meaningful statements on how users interact with a web application, the collected information needs to be more detailed and fine-grained than that provided by classical log files. We focus on tasks such as classifying the user with regard to computer usage proficiency or making a detailed assessment of how long it took users to fill in fields of a form. Additionally, it is important in the context of our work that usage tracking should not alter the user's experience and that it should work with existing server and browser setups. We present an implementation for detailed tracking of user actions on web pages. An HTTP proxy modifies HTML pages by adding JavaScript code before delivering them to the client. This JavaScript tracking code collects data about mouse movements, keyboard input and more. We demonstrate the usefulness of our approach in a case study.read more
Citations
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Journal ArticleDOI
Usability evaluation methods for the web: A systematic mapping study
TL;DR: A systematic mapping study was performed to assess the UEMs that have been used by researchers to evaluate Web applications and their relation to the Web development process, which provided a framework in which new research activities can be more appropriately positioned and from which useful information for novice usability practitioners can be extracted.
Proceedings ArticleDOI
Understanding online social network usage from a network perspective
TL;DR: This paper characterization of user interactions within the OSN for four different OSNs (Facebook, LinkedIn, Hi5, and StudiVZ) focuses on feature popularity, session characteristics, and the dynamics within OSN sessions.
Journal ArticleDOI
Usability testing: a review of some methodological and technical aspects of the method
TL;DR: The aim of this paper is to review some work conducted in the field of user testing that aims at specifying or clarifying the test procedures and at defining and developing tools to help conduct user tests.
Journal IssueDOI
A field study characterizing Web-based information-seeking tasks
TL;DR: Fact Finding and Information Gathering tasks were the most complex; participants spent more time completing this task, viewed more pages, and used the Web browser functions most heavily during this task.
Journal ArticleDOI
Analyzing Android Encrypted Network Traffic to Identify User Actions
TL;DR: This paper investigates to what extent an external attacker can identify the specific actions that a user is performing on her mobile apps, and design a system that achieves this goal using advanced machine learning techniques, and compares the solution with the three state-of-the-art algorithms.
References
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Proceedings ArticleDOI
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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
Learning users' interests by unobtrusively observing their normal behavior
Jeremy Goecks,Jude W. Shavlik +1 more
TL;DR: This work presents an approach that circumvents the need for human-labeled pages by learning “surrogate” tasks where the desired output is easily measured, such as the number of hyperlinks clicked on a page or the amount of scrolling performed.