Title:	CLASSIFYING USER EXPERIENCE OF WEB APPLICATIONS IN REAL TIME USING CLIENT LOGS
Author(s):	Leandro Guarino de Vasconcelos, Rafael Duarte Coelho dos Santos, Laercio Augusto Baldochi Jr
ISBN:	978-989-8533-24-1
Editors:	Pedro Isaías and Bebo White
Year:	2014
Edition:	Single
Keywords:	Usability, Task analysis, Real time, User's experience
Type:	Full Paper
First Page:	11
Last Page:	18
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	With the increasing use of the Internet, the Web has become the predominant means by which people obtain information. However, due to the fast growth of the amount and (sometimes competing) sources of resources available on the Web, users want to find information quickly and efficiently. Currently, web personalization has been explored in order to encourage user's feedback, improve usability and provide interesting content. In the literature, the most common approach is to analyze server logs, which contain information about what pages the user accesses during browsing. However, client logs contain more information about the user navigation. The amount of data of the client logs is significantly greater than the amount of server logs, and this is one factor that discourages analysis of client logs. In this paper, an approach is presented to classify the level of user's experience in real time, using indices of efficiency and effectiveness. The proposed approach, called RUX (Real-time User eXperience), contains an efficient algorithm for analyzing the user's behavior of web applications in real time using client logs. RUX focuses on the paths that a user goes through during the interaction, comparing them to previously defined tasks. RUX approach can be used by application developer to consume the classification of user's experience in real time, previously programming actions that can be taken. Experimental results show that the approach is efficient for aspects of data collection, latency and scalability.
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