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, highlighting the complexity and intrincancies of eye movements.
The Creation Process
The test benchmark included 10 distinct eye-tracking tasks, of which six were visualized here. These tasks ranged from blinks and smooth pursuit to accuracie measurements, miniature eye movements, and also unrestricted viewing. The data processing and visualizations were created using R, which proved challenging due to slow rendering times and many glyphs. 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 colored glyphs. Each task can be recognized by the underlying eye-movement time series data.
“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.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.
