WebGazeAnalyzer: a system for capturing and analyzing web reading behavior using eye gaze

  • Authors:
  • David Beymer;Daniel M. Russell

  • Affiliations:
  • IBM Almaden Research Center, San Jose, CA;IBM Almaden Research Center, San Jose, CA

  • Venue:
  • CHI '05 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2005

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Abstract

Capturing and analyzing the detailed eye movements of a user while reading a web page can reveal much about the ways in which web reading occurs. The WebGazeAnalyzer system described here is a remote-camera system, requiring no invasive head-mounted apparatus, giving test subjects a normal web use experience when performing web-based tasks. While many such systems have been used in the past to collect eye gaze data, WebGazeAnalyzer brings together several techniques for efficiently collecting, analyzing and re-analyzing eye gaze data. We briefly describe techniques for overcoming the inherent inaccuracies of such apparatus, illustrating how we capture and analyze eye gaze data for commercial web design problems. Techniques developed here include methods to group fixations along lines of text, and reading analysis to measure reading speed, regressions, and coverage of web page text.