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An Approach to Early Recognition of Web User Tasks by the Surfing Behavior

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Semantic Multimedia (SAMT 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6725))

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Abstract

A study was conducted to investigate Web users’ information seeking behavior on online newspapers, distinguishing between the task categories fact finding, information gathering and browsing. Over a period of four weeks, the surfing behavior of 41 users was recorded who additionally kept a diary to document their activities. It was scrutinized whether the surfing behavior shows significant differences depending on the kind of task already at the beginning of an activity, which is a prerequisite for timely reaction to current user needs. According to the results, behavioral aspects, such as the number of pages viewed, scroll and mouse movement behavior etc. produce significant differences already during the first 60 seconds of a task. Nevertheless, classification tests show that these behavioral attributes do not yet lead to a prediction accuracy sufficient for a sound real-time task recognition.

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Author information

Authors and Affiliations

  1. Department of Economic and Organizational Psychology, University of Rostock, Ulmenstr. 69, 18057, Rostock, Germany

    Anne Gutschmidt

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  1. Anne Gutschmidt
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Editor information

Editors and Affiliations

  1. DFKI GmbH, Language Technology Lab, Stuhlsatzenhausweg, 3, 66123, Saarbrücken, Germany

    Thierry Declerck

  2. Know-Center Graz, 8010, Graz, Austria

    Michael Granitzer

  3. University of Siegen, Vision and Graphics, Hölderlinstrasse 3, 57076, Siegen, Germany

    Marcin Grzegorzek

  4. DFKI IUI, Saarbrücken, Germany

    Massimo Romanelli

  5. Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK

    Stefan Rüger

  6. Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Trippstadter Straße 122, 67663, Kaiserslautern, Germany

    Michael Sintek

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© 2011 Springer-Verlag Berlin Heidelberg

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Gutschmidt, A. (2011). An Approach to Early Recognition of Web User Tasks by the Surfing Behavior. In: Declerck, T., Granitzer, M., Grzegorzek, M., Romanelli, M., Rüger, S., Sintek, M. (eds) Semantic Multimedia. SAMT 2010. Lecture Notes in Computer Science, vol 6725. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23017-2_5

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  • DOI: https://doi.org/10.1007/978-3-642-23017-2_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23016-5

  • Online ISBN: 978-3-642-23017-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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