Webjig: An Automated User Data Collection System for Website Usability Evaluation

Authors:
Mikio Kiura;Masao Ohira;Ken-Ichi Matsumoto
Affiliations:
Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan;Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan;Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan
Venue:
Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends
Year:
2009

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Abstract

In order to improve website usability, it is important for developers to understand how users access websites. In this paper, we present Webjig, which is a support system for website usability evaluation in order to resolve the problems associated with the existing systems. Webjig can collect users' interaction data from static and dynamic websites. Moreover, by using Webjig, developers can precisely identify users' activities on websites. By performing an experiment to evaluate the usefulness of Webjig, we have confirmed that developers could effectively improve website usability.