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.
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10727 LNCS, pp. 63–73). Springer Verlag. https://doi.org/10.1007/978-3-319-91593-7_7
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