Case Study: eye square improves eyetracking accuracy with Clickworker AI training data

eye square doubles Clickworker pay to collect thousands of eye-tracking training videos

eye square required a large and diverse set of video recordings of human faces and eye movements to train its Smartphone Eye tracking Algorithm Tool (SEAL). The challenge was to optimize the eye tracking system for a wide range of individual movement patterns to ensure accurate and reliable market research results, which necessitated collecting data from thousands of participants across various countries and ethnicities.

clickworker provided the solution by mobilizing its global crowdworkers to use a specialized mobile app. These participants recorded themselves following moving points on a screen, generating the necessary AI training data. A key outcome was the implementation of a 100% bonus payment for contributors, ensuring ethical compensation and high-quality results. This project resulted in the collection of several thousand recordings, enabling eye square to significantly enhance the precision of its eye tracking tool.

eye square