Abstract: This study investigates the diagnostic potential of oculographic signals using unsupervised machine learning methods, specifically focusing on comparing the diagnostic capacity of different ...
Abstract: This study investigates the cognitive impact of dynamic icons in mobile interfaces by integrating electroencephalography (EEG) and eye-tracking technologies. Traditional research on mobile ...
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