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This system teaches and evaluates how people analyze images, such as medical scans or complex diagrams. It first observes how experts look at images, using an eye tracker to record their gaze patterns and time spent on different areas, which trains a smart computer model. Then, it guides a learner through images, adjusting difficulty, and uses their eye movements to evaluate their performance against the expert model, providing feedback on their search strategy and focus. The claims specifically narrow the invention to using an eye tracker for this purpose.
Why it matters: In 2017, dedicated eye tracking hardware was often expensive and specialized. Today, integrated eye tracking in consumer devices like VR/AR headsets or advanced computer vision techniques make the core data collection much more accessible and affordable. Additionally, AI capabilities for pattern recognition and modeling have significantly advanced, making the expert modeling and evaluation more robust.
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