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Static Visualization of Temporal Eye-Tracking Data

  • Kari-Jouko Räihä
  • Anne Aula
  • Päivi Majaranta
  • Harri Rantala
  • Kimmo Koivunen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3585)

Abstract

Existing static visualization techniques for eye-tracking data do not make it possible to easily compare temporal information, that is, gaze paths. We review existing techniques and then propose a new technique that treats time as the prime attribute to be visualized. We successfully used the new technique for analysing the visual scanning of web search results listings. Based on our experiences, the new visualization is a valuable tool when the temporal order of visiting Areas of Interest (AOI) is the main focus in the analysis, the AOIs have a natural linear order, there are many AOIs to produce interesting patterns, and the AOIs fill most of the coordinate space being studied.

Keywords

Visual Search Coordinate Space Time Plot Individual Data Point Result Listing 
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

© IFIP International Federation for Information Processing 2005

Authors and Affiliations

  • Kari-Jouko Räihä
    • 1
  • Anne Aula
    • 1
  • Päivi Majaranta
    • 1
  • Harri Rantala
    • 1
  • Kimmo Koivunen
    • 1
  1. 1.Tampere Unit for Computer-Human Interaction, Department of Computer SciencesUniversity of TampereFinland

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