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. © 2010 Springer-Verlag.
CITATION STYLE
Anglo, E. A., & Rodrigo, M. M. T. (2010). Can affect be detected from intelligent tutoring system interaction data? - A preliminary study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6095 LNCS, pp. 260–262). https://doi.org/10.1007/978-3-642-13437-1_38
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