Name
Abstract | ||
|---|---|---|
A new type of sensor for students' mental states is a single-channel EEG headset simple enough to use in schools. Using its signal from adults and children reading text and isolated words, both aloud and silently, we train and test classifiers to tell easy from hard sentences, and to distinguish among easy words, hard words, pseudo-words, and unpronounceable strings. We also identify which EEG components appear sensitive to which lexical features. Better-than-chance performance shows promise for tutors to use EEG at school. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-21869-9_31 | AIED |
Keywords | Field | DocType |
isolated word,hard word,eeg component,lexical feature,new type,mental state,hard sentence,reading tutor,better-than-chance performance,easy word,eeg input,test classifier,eeg,power spectrum | Headset,TUTOR,Computer science,Reading comprehension,Speech recognition,Artificial intelligence,Natural language processing,Eeg data,Sentence,Comprehension,Electroencephalography,Portable EEG | Conference |
Volume | ISSN | Citations |
6738 | 0302-9743 | 13 |
PageRank | References | Authors |
1.18 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jack Mostow | 1 | 1133 | 263.51 |
| Chang, Kai-min | 2 | 143 | 16.84 |
| Jessica Nelson | 3 | 16 | 1.99 |