Japanese / English

文献の詳細

論文の言語 英語
著者 Charles Lima Sanches,Olivier Augereau,and Koichi Kise
論文名 Japanese Reading Objective Understanding Estimation by Eye Gaze Analysis
論文誌名 UBICOMP
発表場所 Hawaii
年月 2017年8月
要約 Analyzing the eye gaze to estimate the text understanding is a good way to overcome the drawbacks of classic question based assessment tests. In particular it does not suffer from random answers, question misunderstanding and can cover every parts of the text. In this paper we propose a method to estimate the objective understanding of a learner by analyzing his eye movements while reading. We conduct our experiment on Japanese texts and try to predict, by analyzing the eye gaze, how many questions about the texts the reader will be able to answer to. We show that we obtain 5.27% of error in the number of correct answers estimation by using eye gaze features. As a comparison, we try to predict the number of correct answers by using the reader's self assessment understanding and show that it leads to 9.04% error.
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