Word-Sized Eye Tracking Visualizations

In user studies, eye tracking is often used in combination with other recordings, such as think-aloud protocols. However, it is difficult to analyze the eye tracking data and transcribed recordings together because of missing data alignment and integration. We suggest the use of word-sized eye tracking visualizations to augment the transcript with important events that occurred concurrently to the transcribed activities. We explore the design space of such graphics by discussing how existing eye tracking visualizations can be scaled down to word size. The suggested visualizations can optionally be combined with other event-based data such as interaction logs. We demonstrate our concept by a prototypical analysis tool.