Abstract
In Intelligent Tutoring Systems, continuous analysis of learner’s brain states is essential. Several studies have proposed different methods to evaluate learner’s mental states in cognitive tasks. However, these studies do not take into account the nature of the cognitive task. In this paper, we have developed various categories of brain games in order to study the variation of some specific brain states (engagement, workload and distraction) depending on the type and difficulty of the game. The preliminary results showed a close relationship between the category of game, the workload mental state and learner’s performance.
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Ghali, R., Frasson, C. (2014). An Exploratory Study of Learners’ Brain States. In: Trausan-Matu, S., Boyer, K.E., Crosby, M., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2014. Lecture Notes in Computer Science, vol 8474. Springer, Cham. https://doi.org/10.1007/978-3-319-07221-0_91
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DOI: https://doi.org/10.1007/978-3-319-07221-0_91
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07220-3
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