WebEyeMapper and WebLogger
- 31 March 2001
- proceedings article
- Published by Association for Computing Machinery (ACM)
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.Keywords
This publication has 2 references indexed in Scilit:
- The effect of information scent on searching informationPublished by Association for Computing Machinery (ACM) ,2000
- 101 spots, or how do users read menus?Published by Association for Computing Machinery (ACM) ,1998