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.
Chapter PDF
Similar content being viewed by others
References
Nielsen, J., Landauer, T.K.: A mathematical model of the finding of usability problems. In: The INTERACT 1993 and CHI 1993 conference on Human factors in computing systems, pp. 206–213 (1993)
Dumas, J.S., Redish, J.C.: A Practical Guide to Usability Testing. Ablex Publishing, Norwood, New Jersey (1993)
Barnum, C.M.: Usability Testing and Research. Longman, London (2001)
Hong, J.I., Landay, J.A.: WebQuilt: a framework for capturing and visualizing the web experience. In: The 10th international conference on World Wide Web (WWW 2001), pp. 717–724 (2001)
Etgan, M., Cantoe, J.: What does getting WET (Web Event-logging Tool) mean for web usability? In: 5th Conference on Human Factors and the Web, HFWEB 1999 (1999), http://zing.ncsl.nist.gov/hfweb/proceedings/etgen-cantor/index.html (accessed February 27, 2009)
Arroyo, E., Selker, T., Wei, W.: Usability tool for analysis of web designs using mouse tracks. In: CHI 2006 extended abstracts on Human factors in computing systems, pp. 484–489 (2006)
Atterer, R., Schmidt, A.: Tracking the interaction of users with AJAX applications for usability testing. In: The SIGCHI conference on Human factors in computing systems (CHI 2007), pp. 1347–1350 (2007)
Chen, M.C., Anderson, J.R., Sohn, M.H.: What can a mouse cursor tell us more?: correlation of eye/mouse movements on web browsing. In: CHI 2001 extended abstracts on Human factors in computing systems, pp. 281–282 (2001)
Mueller, F., Lockerd, A.: Cheese: tracking mouse movement activity on websites, a tool for user modeling. In: CHI 2001 extended abstracts on Human factors in computing systems, pp. 279–280 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kiura, M., Ohira, M., Matsumoto, Ki. (2009). Webjig: An Automated User Data Collection System for Website Usability Evaluation. In: Jacko, J.A. (eds) Human-Computer Interaction. New Trends. HCI 2009. Lecture Notes in Computer Science, vol 5610. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02574-7_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-02574-7_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02573-0
Online ISBN: 978-3-642-02574-7
eBook Packages: Computer ScienceComputer Science (R0)