WebEyeMapper and WebLogger: tools for analyzing eye tracking data collected in web-use studies
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 usability studies that incorporate eye tracking.
Reeder, R. W. ; Pirolli, P. L. ; Card, S. K. WebEyeMapper and WebLogger: tools for analyzing eye tracking data collected in web-use studies. Extended Abstracts of CHI 2001, the ACM Conference on Human Factors in Computing Systems; 2001 March 31-April 5; Seattle, WA. NY: ACM; 2001; 19-20.