Classification of Reading and Not Reading Behavior Based on Eye Movement Analysis
言語
英語
種類
国際会議等の予稿
著者
Manuel Landsmann，Olivier Augereau，Koichi Kise
論文名
Classification of Reading and Not Reading Behavior Based on Eye Movement Analysis
論文誌名
Proceedings of the 2019 ACM International Joint Conference and 2019 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
Nowadays, many researchers analyze reading behavior with eye trackers. Various traits of reading like engagement, or text difficulty have been observed in laboratory settings. But,
their automatic application for daily life is usually prevented by one question: when is somebody reading? We have developed a tool to classify short sequences of fixations from eye gaze data into reading and not reading. Our specific use case is the Vocabulometer, a website for learning English by reading texts. We used supervised learning on data from nonnative English speakers to train decision trees for the
classification. With features based on vertical eye movement, we achieved 93.1% of correct classifications.
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