WebEyeMapper and WebLogger: tools for analyzing eye tracking data collected in web-use studies

Authors:
Robert W. Reeder;Peter Pirolli;Stuart K. Card
Affiliations:
Xerox Palo Alto Research Center, Palo Alto, CA;Xerox Palo Alto Research Center, Palo Alto, CA;Xerox Palo Alto Research Center, Palo Alto, CA
Venue:
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Year:
2001

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Abstract

Eye trackers output a stream of points at which the eye was looking. To give these points meaning, researchers analyzing eye tracking data need to map the points onto the meaningful objects at which the eye was looking. Performing this mapping has proven to be a tedious, time-consuming task. We present a software system that automates this task for Web usabilty studies that incorporate eye tracking.