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eRaUI: An Adaptive Web Interface for e-Research Tools

Authors:
Farhi Marir
Sahithi Siva
Yanguo Jing

Keywords: Web User Modelling; Adaptive user interface; Learnability; Usability; Heat map; Widget

Abstract:
This paper presents the design and development of E-Research Adaptive User Interface (ERaUI) portable widget which uses case-based paradigm to learn web user profiles to enhance the usability and learnability of its host and adapt its content to that user profile. First, it uses click and mouse movement heat map techniques to track and record both user browsing behavior and the services provided by the host web site into text format which will be analysed by a text mining algorithm to form browsing patterns including changes in the web site content. Then, case-based reasoning paradigm and inductive learning algorithms analyse and index these browsing patterns into groups of web user profiles and store them into a case base memory from which most similar cases will be retrieved by ERaUI to identify and classify new users or discover new group of users. These web user profiles will be used by ERaUI to provide personalised services like content and collaborative search facilities useful for each web user profile, 'live help' box enabling the user to seek support and guidance from the admin feature of the host web site and display minimum content and a concise list of web site services that are most appropriate to individual web user profiles. This paper also discusses user evaluation of NaCTeM web site with and without ERaUI widget, and presents improvements identified through a series of usability tests.

Pages: 93 to 100

Copyright: Copyright (c) IARIA, 2013

Publication date: January 27, 2013

Published in: conference

ISSN: 2308-4421

ISBN: 978-1-61208-248-6

Location: Seville, Spain

Dates: from January 27, 2013 to February 1, 2013