25/04/2020

BrainCoDe: Electroencephalography-based Comprehension Detection during Reading and Listening

Christina Schneegass, Thomas Kosch, Andrea Baumann, Marius Rusu, Mariam Hassib, Heinrich Hussmann

Keywords: eeg, implicit comprehension detection, language learning

Abstract Paper Similar Papers

Abstract: The pervasive availability of media in foreign languages is a rich resource for language learning. However, learners are forced to interrupt media consumption whenever comprehension problems occur. We present BrainCoDe, a method to implicitly detect vocabulary gaps through the evaluation of event-related potentials (ERPs). In a user study (N=16), we evaluate BrainCoDe by investigating differences in ERP amplitudes during listening and reading of known words compared to unknown words. We found significant deviations in N400 amplitudes during reading and in N100 amplitudes during listening when encountering unknown words. To evaluate the feasibility of ERPs for real-time applications, we trained a classifier that detects vocabulary gaps with an accuracy of 87.13

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