Abstract | ||
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Assessment of reading comprehension can be costly and obtrusive. In this paper, we use inexpensive EEG to detect reading comprehension of readers in a school environment. We use EEG signals to produce above-chance predictors of student performance on end-of-sentence cloze questions. We also attempt (unsuccessfully) to distinguish among student mental states evoked by distracters that violate either syntactic, semantic, or contextual constraints. In total, this work investigates the practicality of classroom use of inexpensive EEG devices as an unobtrusive measure of reading comprehension. |
Year | DOI | Venue |
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2014 | 10.1145/2567574.2567624 | LAK |
Keywords | Field | DocType |
inexpensive eeg device,end-of-sentence cloze question,inexpensive eeg,student mental state,school environment,above-chance predictor,classroom use,eeg signal,contextual constraint,unobtrusive measurement,low-cost eeg,student performance,eeg | Reading comprehension,Computer science,Natural language processing,Artificial intelligence,Syntax,Electroencephalography | Conference |
Citations | PageRank | References |
4 | 0.43 | 4 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yueran Yuan | 1 | 4 | 0.43 |
Chang, Kai-min | 2 | 143 | 16.84 |
Jessica Nelson Taylor | 3 | 9 | 1.73 |
Jack Mostow | 4 | 1133 | 263.51 |