eyePatterns: software for identifying patterns and similarities across fixation sequences

Authors:
Julia M. West;Anne R. Haake;Evelyn P. Rozanski;Keith S. Karn
Affiliations:
Rochester Institute of Technology, Rochester, NY;Rochester Institute of Technology, Rochester, NY;Rochester Institute of Technology, Rochester, NY;Xerox Corporation, Rochester, NY
Venue:
Proceedings of the 2006 symposium on Eye tracking research & applications
Year:
2006

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Abstract

Fixation sequence analysis can reveal the cognitive strategies that drive eye movements. Unfortunately this type of analysis is not as common as other popular eye movement measures, such as fixation duration and trace length, because the proper tools for fixation sequence analysis are not incorporated into most popular eye movement software. This paper describes eyePatterns, a new tool for discovering similarities in fixation sequences and identifying the experimental variables that may influence their characteristics.