EDM
Exploring Temporal Dynamics Underlying Eye Gaze, EEG, and Text Characteristics during Naturalistic Reading with Multi-Level Vector Autoregression
Thu Jul 2, 4:10 PM–4:35 PM · North 209
Part of Language & Reading Analytics
Multimodal Learning Analytics Reading & Literacy Affect & Engagement Detection Educational Data Mining Methods
★ Notable speakers
Sidney D'Mello
★★
— Affective computing; affect and engagement detection in intelligent learning environments; mind-wandering during learning
A paper using multi-level vector autoregression to model the temporal interplay among eye gaze, EEG signals, and text features during naturalistic reading.
Authors
Megan Caruso, Robert Moulder, Rosy Southwell, Sidney D'Mello