A new eye tracking test battery: Evaluation of Pupil Labs glasses against EyeLink 1000
for Katharina Groß
This thesis developed a benchmark test to evaluate the strengths and weaknesses of two popular eye-trackers. The Thesis Art piece visualizes six key tasks from the benchmark, showcasing the complexity and elegance of eye movements.
The Creation Process
The benchmark included 10 distinct eye-tracking tasks, of which six were visualized. These tasks ranged from blinks and smooth pursuit to grid movements, miniature eye movements, and free viewing. The data processing and visualizations were created using R, which proved challenging due to slow rendering times. Post-processing in Adobe Illustrator added further complexity, with frequent crashes testing the limits of patience and perseverance.
Artistic Concept
The visualization highlights the comparison between two eye-trackers, represented by distinct green and orange paths. The arrangement of the tasks followed the experimental design, providing an intuitive layout that guides viewers through the diverse nature of eye movements.
“I think the final piece really captures the core of the research. It’s a blend of complex science and creative representation.”
Benedikt Ehinger
Personal Reflection
“Working with R for this project was a steep learning curve, especially with the rendering issues. Illustrator didn’t make it any easier, with constant crashes slowing down progress.” Despite these technical struggles, the project allowed Benedikt to gain a much deeper understanding of how eye-tracking works and how one can visualize these complex movements. “It was frustrating at times, but ultimately very rewarding”, he says.
This thesis led to a widely recognized publication, and the benchmark test is now used in multiple other studies, underscoring its lasting impact.
