Abstract
The use of EEG to enhance learning experience in learning environments can contribute to furthering symbiotic relationship between the user and the system. This study examines whether it is possible to predict successful memorization of previously-learned words in a language learning context from brain activity alone. Participants are tasked with learning German-Korean word association pairs, and their retention performance is tested on the day of and the after learning. We perform statistical analysis as well as single-trial classification to investigate whether brain activity as recorded via multi-channel EEG is able to predict whether a word is remembered or not. Our preliminary results confirm above-chance prediction of successful word learning.
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Acknowledgment
This work was supported by Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (No. 2017-0-00451). This publication only reflects the authors views.
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Kang, T., Chen, Y., Fazli, S., Wallraven, C. (2018). Predicting What You Remember from Brain Activity: EEG-Based Decoding of Long-Term Memory Formation. In: Ham, J., Spagnolli, A., Blankertz, B., Gamberini, L., Jacucci, G. (eds) Symbiotic Interaction. Symbiotic 2017. Lecture Notes in Computer Science(), vol 10727. Springer, Cham. https://doi.org/10.1007/978-3-319-91593-7_7
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DOI: https://doi.org/10.1007/978-3-319-91593-7_7
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