@inproceedings{c69f642d1d4f448995e61fed6970fe1e,
title = "Association rules on relationships between learner{\textquoteright}s physiological information and mental states during learning process",
abstract = "In order to improve the efficiency of teaching and learning, it is very important to grasp learners{\textquoteright} mental states during their learning processes. In this study, we attempt to extract and formalize the relationships between learners{\textquoteright} mental states and learners{\textquoteright} physiological information complemented with teachers{\textquoteright} speech acts using the association rule mining technique through an experiment. As a result, four sets of association rules with high degrees of generality are obtained.",
keywords = "Association rule, Learning, Mental state, Physiological information",
author = "Kazuma Takehana and Tatsunori Matsui",
year = "2016",
doi = "10.1007/978-3-319-40397-7_21",
language = "English",
isbn = "9783319403960",
volume = "9735",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "209--219",
booktitle = "Human Interface and the Management of Information: Applications and Services - 18th International Conference, HCI International 2016, Proceedings",
address = "Germany",
note = "18th International Conference on Human-Computer Interaction, HCI International 2016 ; Conference date: 17-07-2016 Through 22-07-2016",
}