Abstract
This research presents how the level of academic emotions such as confidence, excitement, frustration and interest, may be predicted based on brainwaves and mouse behaviour, while taking into account the student’s personality. Twenty five (25) college students of different personalities were asked to use the Aplusix® algebra learning software while an EEG sensor was attached to their head to capture their brainwaves. Brainwaves were carefully synchronized with the mouse behaviour and the assigned student activity. The collected brainwaves were then filtered, pre-processed and transformed to different frequency bands (alpha, beta, gamma). A number of classifiers were then built using different combinations of frequencies and mouse information which were used to predict the intensity level (low, average, high) of each emotion.
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Azcarraga, J., Suarez, M.T. (2012). Predicting Academic Emotions Based on Brainwaves, Mouse Behaviour and Personality Profile. In: Anthony, P., Ishizuka, M., Lukose, D. (eds) PRICAI 2012: Trends in Artificial Intelligence. PRICAI 2012. Lecture Notes in Computer Science(), vol 7458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32695-0_64
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DOI: https://doi.org/10.1007/978-3-642-32695-0_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32694-3
Online ISBN: 978-3-642-32695-0
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