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Selecting Fiction in Library Catalogs: A Gaze Tracking Study

  • Janna Pöntinen
  • Pertti Vakkari
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8092)

Abstract

It is studied how readers explore metadata in book pages when selecting fiction in a traditional and an enriched online catalog for fiction. The associations between attention devoted to metadata elements and selecting an interesting book were analyzed. Eye movements of 30 users selecting fiction for four search tasks were recorded. The results indicate that although participants paid most attention in book pages to content description and keywords, these had no bearing on selecting an interesting book. Author and title information received less attention, but were significant predictors of selection.

Keywords

Cover Image Content Description Public Library Result List Book Page 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Janna Pöntinen
    • 1
  • Pertti Vakkari
    • 1
  1. 1.University of TampereFinland

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