Can Affect Be Detected from Intelligent Tutoring System Interaction Data?–A Preliminary Study
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 inte...
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| Main Authors: | , |
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| Format: | text |
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Archīum Ateneo
2010
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| Subjects: | |
| Online Access: | https://archium.ateneo.edu/discs-faculty-pubs/172 https://link.springer.com/chapter/10.1007/978-3-642-13437-1_38 |
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| Institution: | Ateneo De Manila University |
| Summary: | 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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