Abstract
This study attempted to determine if it is possible to create an automatic affect detector using a combination of semantic and keystroke data. While the resulting models attained detection accuracies comparable with other studies, their reliabilities were not ideal. One model however shows that interaction logs may have a potential as a detector for confusion.
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Anglo, E.A., Rodrigo, M.M.T. (2010). Can Affect Be Detected from Intelligent Tutoring System Interaction Data? – A Preliminary Study. In: Aleven, V., Kay, J., Mostow, J. (eds) Intelligent Tutoring Systems. ITS 2010. Lecture Notes in Computer Science, vol 6095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13437-1_38
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DOI: https://doi.org/10.1007/978-3-642-13437-1_38
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