On 66 learners, a multimodal model of EEG, heart rate and head pose detects instructed phone use during online learning with 91% accuracy, versus 87% for head pose alone.
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AI-based Multimodal Biometrics for Detecting Smartphone Distractions: Application to Online Learning
On 66 learners, a multimodal model of EEG, heart rate and head pose detects instructed phone use during online learning with 91% accuracy, versus 87% for head pose alone.