A Web-Based Visualisation Tool for Analysing Mouse Movements to Support Map Personalisation

  • Ali Tahir
  • Gavin McArdle
  • Michela Bertolotto
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6637)


Information overload is a well known issue across many domains. Due to an increase in the quantity of information associated with geographic data, information overload is now also prevalent in the spatial domain. This makes interacting with maps tedious and difficult, as extracting relevant information becomes laborious. Map personalisation offers a solution to this problem. By implicitly monitoring user behaviour and interaction with maps, common patterns, preferences and interests can be identified. Using this approach, personalised maps can be generated which match user preferences and contribute to resolving information overload in the spatial domain. Traditionally data mining techniques are used to identify preferences however, visual analytics has proven useful in detecting interests and patterns not apparent via data mining. This paper presents a visual analysis tool called VizAnalysisTools, which can be used by developers and analysts to detect patterns in Web map usage among groups of users. The knowledge gained through this visual analysis can be used to strengthen map personalisation techniques.


Web GIS Geo-Visualisation Map Personalisation Geo-Visual Analysis Human-Computer Interaction 


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  1. 1.
    Andrienko, G., Andrienko, N., Demsar, U., Dranschc, D., Dykesd, J., Fabrikante, S., Jernf, M., Kraakg, M., Schumannh, H., Tominskih, C.: Space, Time and Visual Analytics. International Journal of Geographical Information Science 24(10), 1577–1600 (2010)CrossRefGoogle Scholar
  2. 2.
    Andrienko, G., Andrienko, N., Wrobel, S.: Visual Analytics Tools for Analysis of Movement Data. ACM SIGKDD Explorations Newsletter 9(2), 38–46 (2007)CrossRefGoogle Scholar
  3. 3.
    Andrienko, N., Andrienko, G., Voss, H., Bernardo, F., Hipolito, J., Kretchmer, U.: Testing the Usability of Interactive Maps in CommonGIS. Cartography and Geographic Information Science 29(4), 325–343 (2002)CrossRefGoogle Scholar
  4. 4.
    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. ACM, New York (2006)Google Scholar
  5. 5.
    Ballatore, A., McArdle, G., Kelly, C., Bertolotto, M.: RecoMap: An Interactive and Adaptive Map-based Recommender. In: Proceedings of the 2010 ACM Symposium on Applied Computing, pp. 887–891. ACM, New York (2010)CrossRefGoogle Scholar
  6. 6.
    Chen, C.: Information Visualization. Wiley Interdisciplinary Reviews: Computational Statistics 2(4), 387–403 (2010)CrossRefGoogle Scholar
  7. 7.
    Claypool, M., Le, P., Wased, M., Brown, D.: Implicit Interest Indicators. In: Proceedings of the 6th International Conference on Intelligent User Interfaces, pp. 33–40. ACM, New York (2001)Google Scholar
  8. 8.
    Curbera, F., Duftler, M., Khalaf, R., Nagy, W., Mukhi, N., Weerawarana, S.: Unraveling the Web Services Web: An Introduction to SOAP, WSDL, and UDDI. IEEE Internet Computing 6(2), 86–93 (2002)CrossRefGoogle Scholar
  9. 9.
    Demsar, U., Virrantaus, K.: Space-time Density of Trajectories: Exploring Spatio-temporal Patterns in Movement Data. International Journal of Geographical Information Science 24(10), 1527–1542 (2010)CrossRefGoogle Scholar
  10. 10.
    Fisher, D.: Hotmap: Looking at Geographic Attention. IEEE Transactions on Visualization and Computer Graphics 13(6), 1184–1191 (2007)CrossRefGoogle Scholar
  11. 11.
    Ginige, A., Murugesan, S.: Web Engineering: An Introduction. IEEE Multimedia 8(1), 14–18 (2002)CrossRefGoogle Scholar
  12. 12.
    Hagerstrand, T.: What About People in Regional Science? Papers in Regional Science 24(1), 6–21 (1970)CrossRefGoogle Scholar
  13. 13.
    Haklay, M., Singleton, A., Parker, C.: Web Mapping 2.0: The Neogeography of the Geoweb. Geography Compass 2(6), 2011–2039 (2008)CrossRefGoogle Scholar
  14. 14.
    Keim, D.: Information Visualization and Visual Data Mining. IEEE Transactions on Visualization and Computer Graphics 8(1), 1–8 (2002)MathSciNetCrossRefGoogle Scholar
  15. 15.
    Mac Aoidh, E., Bertolotto, M., Wilson, D.: Analysis of Implicit Interest Indicators for Spatial Data. In: Proceedings of the 15th Annual ACM International Symposium on Advances in Geographic Information Systems, p. 47. ACM, New York (2007)Google Scholar
  16. 16.
    Mac Aoidh, E., Bertolotto, M., Wilson, D.: Understanding Geospatial Interests by Visualizing Map Interaction Behavior. Information Visualization 7(3), 275–286 (2008)CrossRefGoogle Scholar
  17. 17.
    Mac Aoidh, E., McArdle, G., Petit, M., Ray, C., Bertolotto, M., Claramunt, C., Wilson, D.: Personalization in Adaptive and Interactive GIS. Annals of GIS 15(1), 23–33 (2009)CrossRefGoogle Scholar
  18. 18.
    McArdle, G., Ballatore, A., Tahir, A., Bertolotto, M.: An Open-Source Web Architecture for Adaptive Location Based Services. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Hong Kong, vol. 38(2), pp. 296–301 (2010)Google Scholar
  19. 19.
    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. ACM, New York (2001)Google Scholar
  20. 20.
    O’reilly, T.: What is Web 2.0. Design Patterns and Business Models for the Next Generation of Software 1, 17 (2007), available at SSRN:
  21. 21.
    Seffah, A., Donyaee, M., Kline, R., Padda, H.: Usability Measurement and Metrics: A Consolidated Model. Software Quality Journal 14(2), 159–178 (2006)CrossRefGoogle Scholar
  22. 22.
    Tahir, A., McArdle, G., Ballatore, A., Bertolotto, M.: Collaborative Filtering- A Group Profiling Algorithm for Personalisation in a Spatial Recommender System. In: Proceedings Geoinformatik, Kiel, Germany, pp. 44–50 (2010)Google Scholar
  23. 23.
    Wu, W., Noble, W.: Genomic Data Visualization on the Web. Bioinformatics, 1541 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Ali Tahir
    • 1
  • Gavin McArdle
    • 2
  • Michela Bertolotto
    • 1
  1. 1.School of Computer Science and InformaticsUniversity College DublinDublin 4Ireland
  2. 2.National Centre for GeocomputationNational University of Ireland MaynoothMaynoothIreland

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