LinkedInยทMonday, 17 August 2026ยท9d ago
๐ ๐ผ๐ฑ๐ฒ๐น๐ถ๐ป๐ด ๐๐๐บ๐ฎ๐ป ๐๐ฎ๐๐ฒ ๐ฎ๐ป๐ฑ ๐ฅ๐ฒ๐ฎ๐ฑ๐ถ๐ป๐ด ๐ ๐ฒ๐ฐ๐ต๐ฎ๐ป๐ถ๐ฐ๐ ๐๐ถ๐๐ต ๐๐ Researchers from Aalto University, HKUST, Cityโฆ
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๐ ๐ผ๐ฑ๐ฒ๐น๐ถ๐ป๐ด ๐๐๐บ๐ฎ๐ป ๐๐ฎ๐๐ฒ ๐ฎ๐ป๐ฑ ๐ฅ๐ฒ๐ฎ๐ฑ๐ถ๐ป๐ด ๐ ๐ฒ๐ฐ๐ต๐ฎ๐ป๐ถ๐ฐ๐ ๐๐ถ๐๐ต ๐๐ Researchers from Aalto University, HKUST, City University of Hong Kong, and NUS have developed a reinforcement learning framework that captures how humans read. Published in Nature Human Behaviour, the model moves beyond standard data mimicry by simulating the psychological mechanisms readers use to allocate gaze and attention across words, sentences, and paragraphs based on cognitive constraints.
๐ฃ๐ฒ๐ฟ๐๐ผ๐ป๐ฎ๐น๐ถ๐๐ฒ๐ฑ ๐ง๐ฒ๐
๐ ๐ฎ๐ป๐ฑ ๐ฆ๐บ๐ฎ๐ฟ๐ ๐๐ถ๐๐ฝ๐น๐ฎ๐ ๐๐ฝ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป๐ By parameterizing individual traits such as memory capacity, visual field, and reading speed, the model predicts how different readers process complex information. This paves the way for real-time text customization, automated simplification of dense legal documents, and dynamic content layout for augmented reality smart glasses and heads-up displays.
https://lnkd.in/eSKQ5ntF
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