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Using Eye-Tracking for the Evaluation of Interactive Information Retrieval

  • Thomas Beckers
  • Dennis Korbar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6932)

Abstract

In this paper we present the INEX 2010 Interactive Track experiments that have been performed with eye-tracking in addition to the other collected data (system logs and questionnaires). We present our tool AOILog for recording Areas of Interest (AOI) data for dynamic user interfaces. Finally, we show how these eye-tracking and AOI data could be used for further analysis of the user interaction with the search system.

Keywords

Search System Result Item Query History Digital Library System Interactive Track 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Pharo, N., Beckers, T., Nordlie, R., Fuhr, N.: The INEX 2010 Interactive Track: An overview. In: Geva, S., et al. (eds.) INEX 2010. LNCS, vol. 6932, pp. 227–235. Springer, Heidelberg (2010)Google Scholar
  2. 2.
    Biedert, R., Buscher, G., Schwarz, S., Möller, M., Dengel, A., Lottermann, T.: The Text 2.0 framework - writing web-based gaze-controlled realtime applications quickly and easily. In: Proceedings of the International Workshop on Eye Gaze in Intelligent Human Machine Interaction, EGIHMI (2010)Google Scholar
  3. 3.
    Fuhr, N.: A probability ranking principle for interactive information retrieval. Information Retrieval 11(3), 251–265 (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Thomas Beckers
    • 1
  • Dennis Korbar
    • 1
  1. 1.Department of Computer Science and Applied Cognitive Science Information EngineeringUniversität Duisburg-EssenDuisburgGermany

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