AINeutralarXiv – CS AI · 10h ago5/10
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Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep
Researchers explored using large language models to detect and improve attention and sleep by analyzing EEG and physical activity data. While LLMs successfully generated personalized sleep improvement suggestions based on behavioral text data, the study found that directly detecting attention states and sleep stages from EEG data requires additional training data and domain expertise.