Toward unobtrusive measurement of reading comprehension using low-cost EEG - Robotics Institute Carnegie Mellon University

Toward unobtrusive measurement of reading comprehension using low-cost EEG

Yueran Yuan, Kai-min Chang, Jessica Nelson Taylor, and Jack Mostow
Conference Paper, Proceedings of 4th International Conference on Learning Analytics and Knowledge (LAK '14), pp. 54 - 58, March, 2014

Abstract

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.

BibTeX

@conference{Yuan-2014-122059,
author = {Yueran Yuan and Kai-min Chang and Jessica Nelson Taylor and Jack Mostow},
title = {Toward unobtrusive measurement of reading comprehension using low-cost EEG},
booktitle = {Proceedings of 4th International Conference on Learning Analytics and Knowledge (LAK '14)},
year = {2014},
month = {March},
pages = {54 - 58},
}